A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization

•This review study aims to help promote research activities within the field of reservoir production optimization.•A variety of intelligent optimization algorithms and surrogate models for reservoir production optimization are reviewed.•Different themes including reservoir optimization models, intel...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Fuel (Guildford) Ročník 350; s. 128826
Hlavní autori: Wang, Lian, Yao, Yuedong, Luo, Xiaodong, Daniel Adenutsi, Caspar, Zhao, Guoxiang, Lai, Fengpeng
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 15.10.2023
Predmet:
Conventional reservoirs
Intelligent optimization algorithm
Reservoir production optimization
Surrogate model
Unconventional reservoirs
Unconventional reservoirs
Reservoir production optimization
Surrogate model
Intelligent optimization algorithm
Conventional reservoirs
ISSN:0016-2361
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract •This review study aims to help promote research activities within the field of reservoir production optimization.•A variety of intelligent optimization algorithms and surrogate models for reservoir production optimization are reviewed.•Different themes including reservoir optimization models, intelligent algorithms, and surrogate models are investigated.•Particular issues of production optimization in unconventional reservoirs are presented.•Future challenges and prospects within the area of reservoir production optimization are discussed. Aiming to find the most suitable development schemes of conventional and unconventional reservoirs for maximum energy supply or economic benefits, reservoir production optimization is one of the most essential challenges in closed-loop reservoir management. With the developments of artificial intelligence technologies during the past decades, both intelligent optimization algorithms and surrogate models have been adopted to solve reservoir production optimization problems for improved efficiency and/or accuracy in the final optimization results. In this paper, a critical review of intelligent optimization algorithms and surrogate models applied to production optimization problems in conventional and unconventional reservoirs is conducted. It covers a few different topics within the target research area, ranging from the basic elements (optimization variables, objective function and constraints) that constitute a reservoir production optimization problem, to various intelligent optimization algorithms developed from different perspectives and for different types of optimization problems (e.g., with single or multiple objective functions), and intelligent surrogate models that are built based on different artificial intelligence technologies and for different application purposes. The particular issues of production optimization in unconventional reservoirs are highlighted, and future challenges and prospects within the area of reservoir production optimization are also discussed. It is our hope that this critical review may help attract more attention to intelligent optimization algorithms and surrogate models applied to production optimization problems in conventional and unconventional reservoirs, and promote research and development activities within this area in the future.
AbstractList •This review study aims to help promote research activities within the field of reservoir production optimization.•A variety of intelligent optimization algorithms and surrogate models for reservoir production optimization are reviewed.•Different themes including reservoir optimization models, intelligent algorithms, and surrogate models are investigated.•Particular issues of production optimization in unconventional reservoirs are presented.•Future challenges and prospects within the area of reservoir production optimization are discussed. Aiming to find the most suitable development schemes of conventional and unconventional reservoirs for maximum energy supply or economic benefits, reservoir production optimization is one of the most essential challenges in closed-loop reservoir management. With the developments of artificial intelligence technologies during the past decades, both intelligent optimization algorithms and surrogate models have been adopted to solve reservoir production optimization problems for improved efficiency and/or accuracy in the final optimization results. In this paper, a critical review of intelligent optimization algorithms and surrogate models applied to production optimization problems in conventional and unconventional reservoirs is conducted. It covers a few different topics within the target research area, ranging from the basic elements (optimization variables, objective function and constraints) that constitute a reservoir production optimization problem, to various intelligent optimization algorithms developed from different perspectives and for different types of optimization problems (e.g., with single or multiple objective functions), and intelligent surrogate models that are built based on different artificial intelligence technologies and for different application purposes. The particular issues of production optimization in unconventional reservoirs are highlighted, and future challenges and prospects within the area of reservoir production optimization are also discussed. It is our hope that this critical review may help attract more attention to intelligent optimization algorithms and surrogate models applied to production optimization problems in conventional and unconventional reservoirs, and promote research and development activities within this area in the future.
ArticleNumber 128826
Author Yao, Yuedong
Luo, Xiaodong
Lai, Fengpeng
Wang, Lian
Zhao, Guoxiang
Daniel Adenutsi, Caspar
Author_xml – sequence: 1
  givenname: Lian
  orcidid: 0000-0003-0895-061X
  surname: Wang
  fullname: Wang, Lian
  email: wanglian02@163.com
  organization: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China
– sequence: 2
  givenname: Yuedong
  surname: Yao
  fullname: Yao, Yuedong
  organization: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China
– sequence: 3
  givenname: Xiaodong
  surname: Luo
  fullname: Luo, Xiaodong
  organization: NORCE Norwegian Research Centre, 5008 Bergen, Norway
– sequence: 4
  givenname: Caspar
  surname: Daniel Adenutsi
  fullname: Daniel Adenutsi, Caspar
  organization: Reservoir Simulation Laboratory, Department of Petroleum Engineering, Faculty of Civil and Geo-Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
– sequence: 5
  givenname: Guoxiang
  surname: Zhao
  fullname: Zhao, Guoxiang
  organization: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China
– sequence: 6
  givenname: Fengpeng
  surname: Lai
  fullname: Lai, Fengpeng
  organization: School of Energy Resources, China University of Geosciences, Beijing 100083, China
BookMark eNp9kM1OAyEURlnUxLb6Aq54ganAMFMmcdM0_iVN3OiaMMydSjMDDTA1-hq-sIx1oS66IuF-5-NyZmhinQWErihZUELL692iHaBbMMLyBWVCsHKCpiRNMpaX9BzNQtgRQpai4FP0ucLam2i06rCHg4E37Cw2NkLXmS3YiN0-mt58qGjSQHVbl-KvfcDKNjgM3rutioB710AXcOs81s4eEpjiqXNMDfbPlYcA_uCMx3vvmkF_F_9-5QKdtaoLcPlzztHL3e3z-iHbPN0_rlebTOeExAyKhita8fTHSuWMlzWtalHTJSeqKIUmpeC85XWlm7yGglDFRA1LIDTXBXCVz5E49mrvQvDQSm3i9wbRK9NJSuQoVO7kKFSOQuVRaELZP3TvTa_8-2no5gglU6NqL4M2YDU0xoOOsnHmFP4Fvz2ZEQ
CitedBy_id crossref_primary_10_1016_j_colsurfa_2023_132548
crossref_primary_10_1016_j_energy_2025_135867
crossref_primary_10_1016_j_fuel_2024_131021
crossref_primary_10_1038_s41598_025_13982_5
crossref_primary_10_1007_s10596_024_10331_9
crossref_primary_10_1016_j_jgsce_2024_205219
crossref_primary_10_1016_j_applthermaleng_2025_125907
crossref_primary_10_1016_j_petsci_2025_06_001
crossref_primary_10_1016_j_petsci_2024_09_009
crossref_primary_10_3390_en17174200
crossref_primary_10_1007_s11581_023_05352_w
crossref_primary_10_2118_224451_PA
crossref_primary_10_3390_pr12040716
crossref_primary_10_1016_j_geoen_2025_213815
crossref_primary_10_1109_ACCESS_2023_3338239
crossref_primary_10_3390_w16121732
crossref_primary_10_1080_10589759_2025_2528931
crossref_primary_10_2118_219732_PA
crossref_primary_10_1007_s13202_025_01938_4
crossref_primary_10_1007_s13202_024_01826_3
crossref_primary_10_3390_pr12102140
crossref_primary_10_1007_s11831_025_10263_2
crossref_primary_10_1007_s13202_024_01863_y
crossref_primary_10_2118_226198_PA
crossref_primary_10_1021_acs_energyfuels_5c01259
crossref_primary_10_1016_j_jgsce_2025_205605
crossref_primary_10_1007_s13369_024_09829_2
crossref_primary_10_3390_pr12122634
crossref_primary_10_1016_j_heliyon_2024_e27015
crossref_primary_10_3390_make6020043
crossref_primary_10_2118_223939_PA
crossref_primary_10_1016_j_asoc_2024_111799
crossref_primary_10_2118_228427_PA
crossref_primary_10_1088_1402_4896_ada40e
crossref_primary_10_1016_j_geoen_2023_212554
crossref_primary_10_1016_j_geoen_2025_213846
crossref_primary_10_2118_225411_PA
crossref_primary_10_1007_s11004_024_10165_2
crossref_primary_10_1016_j_gete_2023_100506
crossref_primary_10_1007_s11053_025_10458_1
crossref_primary_10_3390_pr13051386
Cites_doi 10.1080/10916466.2010.519751
10.1016/j.petrol.2015.07.012
10.1016/j.upstre.2022.100071
10.1155/2015/706897
10.1016/j.procs.2010.04.145
10.2118/203821-PA
10.3182/20120531-2-NO-4020.00048
10.1016/j.fuel.2018.09.101
10.1515/revce-2015-0042
10.1016/j.petrol.2020.107718
10.1016/j.compchemeng.2022.108096
10.1016/j.ins.2020.06.045
10.1007/s10596-022-10137-7
10.1007/s10596-013-9383-x
10.2118/203951-PA
10.1080/15567036.2010.538803
10.1007/s10596-011-9254-2
10.2118/119057-PA
10.1016/j.compfluid.2010.09.039
10.1007/s10596-019-09892-x
10.1016/j.acags.2022.100103
10.1016/j.petrol.2015.09.010
10.1021/ie300856p
10.1016/j.petrol.2022.110568
10.1016/j.knosys.2021.106956
10.1016/j.clay.2018.01.017
10.1002/ghg.1982
10.2118/81107-PA
10.1007/s11053-021-09948-9
10.1007/s10596-019-09863-2
10.1016/j.fuel.2020.119983
10.3390/en12101859
10.1016/j.petrol.2021.109287
10.1007/s10898-010-9620-y
10.1109/72.788640
10.1016/j.jngse.2018.01.047
10.3390/en9090711
10.1016/j.apenergy.2020.115695
10.1016/j.petrol.2021.109766
10.2118/210562-PA
10.1016/j.resconrec.2021.105413
10.1016/j.asoc.2020.106511
10.1007/s11053-021-09844-2
10.1007/s10596-021-10097-4
10.3390/su13041664
10.1007/s10596-014-9422-2
10.1007/s11721-007-0002-0
10.1016/j.petsci.2022.08.016
10.1080/10916466.2016.1141217
10.1016/j.asoc.2015.05.032
10.1007/s10596-010-9194-2
10.2118/109805-PA
10.1007/s12182-014-0005-6
10.1016/j.petrol.2020.107694
10.1016/j.petrol.2013.11.006
10.1016/j.esr.2018.06.003
10.1016/j.cageo.2016.02.022
10.1007/s11269-018-1917-5
10.2118/205023-PA
10.1109/TEVC.2016.2519378
10.1016/j.fuel.2018.08.103
10.1007/s13202-016-0257-3
10.1016/j.jngse.2022.104420
10.1029/JB076i008p01905
10.1016/j.rser.2013.11.041
10.1016/j.petrol.2005.03.002
10.1016/j.jcp.2023.111945
10.1016/j.petrol.2021.109692
10.1016/j.compchemeng.2022.107941
10.1016/j.compchemeng.2018.01.005
10.1007/s11269-020-02656-8
10.1016/j.asoc.2010.02.014
10.1016/j.petrol.2017.08.024
10.2118/205019-PA
10.1016/j.jngse.2021.104232
10.1016/j.petrol.2020.107851
10.1007/s10596-022-10132-y
10.3390/fluids4020085
10.1016/j.petrol.2019.03.006
10.1007/s10596-015-9516-5
10.1007/s13202-017-0403-6
10.1016/j.ijggc.2022.103692
10.1016/j.petrol.2018.01.019
10.1007/s11004-020-09864-3
10.1016/j.petlm.2015.03.008
10.3390/en12152897
10.1109/CIS.2012.22
10.1007/s10596-012-9328-9
10.1016/j.petrol.2016.12.028
10.1007/s10596-019-09887-8
10.1016/j.petrol.2020.107059
10.1109/ICCI51257.2020.9247827
10.1016/j.petlm.2021.11.006
10.1016/j.petrol.2020.107192
10.1016/j.petrol.2022.110900
10.2118/87663-PA
10.2118/117274-PA
10.1080/02286203.2017.1393712
10.1038/scientificamerican0792-66
10.1016/j.jclepro.2020.124512
10.1007/s13202-021-01199-x
10.3390/en15176372
10.1016/j.petrol.2018.10.005
10.1016/j.juogr.2014.09.001
10.1007/s10596-016-9584-1
10.1016/j.asoc.2021.108353
10.2118/191378-PA
10.1016/j.petrol.2017.01.038
10.1016/j.petrol.2016.12.015
10.1177/0144598720974425
10.1016/j.petrol.2017.02.011
10.1016/j.petrol.2021.108652
10.1007/s10462-018-9612-8
10.2118/199357-PA
10.1016/j.petrol.2018.03.050
10.1016/j.petrol.2019.106633
10.2118/201229-PA
10.1007/s12517-022-09575-5
10.1007/s11081-016-9313-6
10.1016/j.petrol.2022.110868
10.1016/j.petrol.2021.109088
10.1007/s11269-014-0872-z
10.1016/j.asoc.2010.05.007
10.1007/s10596-016-9602-3
10.1016/j.fuel.2017.06.030
10.1144/petgeo2016-068
10.2118/204236-PA
10.1016/j.petrol.2011.02.005
10.1007/s13369-021-05614-7
10.12720/jiii.4.1.27-33
10.2118/205013-PA
10.1007/s12206-014-1032-3
10.1016/j.compchemeng.2018.11.013
10.1016/j.advengsoft.2019.102767
10.2118/182598-PA
10.1007/s10596-021-10102-w
10.2118/173206-MS
10.1007/s11081-017-9365-2
10.1016/j.petrol.2013.07.012
10.1016/j.petrol.2017.05.004
10.1007/s12517-019-4891-1
10.2118/206755-PA
10.1016/j.asoc.2012.10.009
10.1016/j.asoc.2014.10.017
10.1016/j.molliq.2021.116654
10.1016/j.jcp.2020.109456
10.1007/s10596-020-09985-y
10.1007/s10596-021-10092-9
10.1007/s11269-013-0353-9
10.1016/j.petrol.2019.106565
10.1115/1.4049457
10.1007/s13202-013-0084-8
10.2118/201721-PA
10.1016/j.energy.2022.124139
10.1016/j.petrol.2021.108457
10.1016/j.petrol.2011.08.009
10.1016/j.compchemeng.2016.09.006
10.1115/1.4032547
10.1007/s10596-018-9718-8
10.1016/j.advengsoft.2013.12.007
10.1016/j.compchemeng.2018.06.013
10.1109/TEVC.2004.826067
10.1016/j.petrol.2016.11.013
10.2113/gsecongeo.58.8.1246
10.1016/j.cageo.2020.104676
10.1016/j.fuel.2019.05.070
10.1007/s10596-022-10189-9
10.1016/j.jngse.2011.10.002
10.1016/j.cageo.2009.11.006
10.1016/j.petrol.2021.108879
10.1016/j.compchemeng.2018.06.015
10.1016/j.petrol.2014.04.021
10.2118/119094-PA
10.1016/j.petrol.2004.11.006
10.1021/acs.energyfuels.1c00249
10.1007/s10596-013-9375-x
10.1016/j.geothermics.2019.101792
10.1016/j.petrol.2016.06.017
10.2118/187430-PA
10.1190/geo2019-0261.1
10.3390/pr5030034
10.1177/0144598717729490
10.1016/j.advwatres.2015.09.009
10.2118/208604-PA
10.1029/2019WR026007
10.1017/S0956792508007328
10.1109/TNN.2002.1000134
10.1109/4235.996017
10.3390/en15145247
10.1016/j.petrol.2019.106726
10.1109/TEVC.2010.2059031
10.1016/j.egypro.2014.11.377
10.46690/ager.2020.04.06
10.1016/j.asoc.2019.03.022
10.1016/j.petrol.2020.107824
10.1016/j.petrol.2015.04.038
10.1016/j.fuel.2022.125125
10.1016/j.petrol.2021.109278
10.1007/s10596-021-10094-7
10.1016/j.petrol.2020.107273
10.1016/j.petrol.2016.10.055
10.1016/j.petrol.2022.111166
10.26804/ager.2019.04.03
10.1016/j.petrol.2018.01.065
10.1007/s13146-019-00493-4
10.1016/j.petrol.2017.10.083
10.1016/j.petrol.2014.07.034
10.1007/s11053-021-09833-5
10.1007/s10596-015-9507-6
10.1016/j.petrol.2021.110076
10.1016/j.ifacol.2019.06.111
10.1007/s10596-015-9478-7
10.1016/j.egyr.2022.02.228
10.1016/j.petrol.2013.07.008
10.1016/j.procs.2015.05.223
10.1016/j.asoc.2009.08.031
10.2118/163354-PA
10.1016/j.petlm.2015.11.004
ContentType Journal Article
Copyright 2023 Elsevier Ltd
Copyright_xml – notice: 2023 Elsevier Ltd
DBID AAYXX
CITATION
DOI 10.1016/j.fuel.2023.128826
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
ExternalDocumentID 10_1016_j_fuel_2023_128826
S0016236123014394
GroupedDBID --K
--M
-~X
.~1
0R~
1B1
1~.
1~5
4.4
457
4G.
5GY
5VS
7-5
71M
8P~
9JN
AABNK
AACTN
AAEDT
AAEDW
AAHCO
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AARJD
AARLI
AATTM
AAXKI
AAXUO
ABFNM
ABJNI
ABMAC
ABNUV
ACDAQ
ACIWK
ACNCT
ACPRK
ACRLP
ADBBV
ADECG
ADEWK
ADEZE
AEBSH
AEIPS
AEKER
AENEX
AFJKZ
AFRAH
AFTJW
AFXIZ
AFZHZ
AGHFR
AGUBO
AGYEJ
AHEUO
AHHHB
AHIDL
AHPOS
AIEXJ
AIKHN
AITUG
AJSZI
AKIFW
AKRWK
AKURH
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
ANKPU
AXJTR
BELTK
BKOJK
BLECG
BLXMC
BNPGV
CS3
DU5
EBS
EFJIC
ENUVR
EO8
EO9
EP2
EP3
FDB
FIRID
FLBIZ
FNPLU
FYGXN
G-Q
GBLVA
IHE
J1W
JARJE
KOM
LY6
M41
MO0
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
PC.
Q38
RNS
ROL
RPZ
SDF
SDG
SDP
SES
SPC
SPCBC
SSG
SSH
SSJ
SSK
SSR
SSZ
T5K
TWZ
WH7
ZMT
~02
~G-
29H
8WZ
9DU
A6W
AAQXK
AAYWO
AAYXX
ABDEX
ABEFU
ABWVN
ABXDB
ACLOT
ACNNM
ACRPL
ACVFH
ADCNI
ADMUD
ADNMO
AEUPX
AFFNX
AFPUW
AGQPQ
AI.
AIGII
AIIUN
AKBMS
AKYEP
APXCP
ASPBG
AVWKF
AZFZN
CITATION
EFKBS
EFLBG
EJD
FEDTE
FGOYB
G-2
HVGLF
HZ~
H~9
R2-
SAC
SCB
SEW
VH1
WUQ
XPP
ZY4
~HD
ID FETCH-LOGICAL-c300t-e5d4a1941289a3246b19b8b1740a568c06844f4b9cd3be501a28be7e013c5e4a3
ISICitedReferencesCount 46
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001013511100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0016-2361
IngestDate Sat Nov 29 07:02:01 EST 2025
Tue Nov 18 22:11:37 EST 2025
Sun Apr 06 06:53:32 EDT 2025
IsPeerReviewed true
IsScholarly true
Keywords Unconventional reservoirs
Reservoir production optimization
Surrogate model
Intelligent optimization algorithm
Conventional reservoirs
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c300t-e5d4a1941289a3246b19b8b1740a568c06844f4b9cd3be501a28be7e013c5e4a3
ORCID 0000-0003-0895-061X
ParticipantIDs crossref_citationtrail_10_1016_j_fuel_2023_128826
crossref_primary_10_1016_j_fuel_2023_128826
elsevier_sciencedirect_doi_10_1016_j_fuel_2023_128826
PublicationCentury 2000
PublicationDate 2023-10-15
PublicationDateYYYYMMDD 2023-10-15
PublicationDate_xml – month: 10
  year: 2023
  text: 2023-10-15
  day: 15
PublicationDecade 2020
PublicationTitle Fuel (Guildford)
PublicationYear 2023
Publisher Elsevier Ltd
Publisher_xml – name: Elsevier Ltd
References Glandt (b0580) 2005; 20
Park, Iino, Datta-Gupta (b1485) 2021; 196
Rahmanifard, Plaksina (b1615) 2018; 52
Beykal, Boukouvala, Floudas (b1245) 2018; 114
Nasrabadi, Morales, Zhu (b0610) 2012; 5
Zhang, Huang, He (b1275) 2022
Fu, Wen (b1145) 2017; 22
Agada, Geiger, Elsheikh (b1300) 2017; 23
Ahmed Elfeel, Tonkin, Watanabe (b0730) 2018
Liu, Durlofsky (b0405) 2021; 148
Bieker, Slupphaug, Johansen (b0585) 2007; 22
Chang, Lorentzen, Nævdal (b0685) 2020; 24
Zhang, Sahinidis (b1295) 2013; 52
Innocente, Afonso, Sienz (b1265) 2015; 34
Kristoffersen, Silva, Bellout (b0850) 2022; 26
Al-Tashi Q, Rais H M, Abdulkadir S J, et al. Feature selection based on grey wolf optimizer for oil & gas reservoir classification[C]//2020 International Conference on omputational Intelligence (ICCI). IEEE, 2020: 211-216.
Bazargan, Christie, Elsheikh (b0490) 2015; 86
Han, Zhong, Wang (b0855) 2021; 24
Wang, Zhang, Zhang (b1395) 2022; 217
Guo, Reynolds (b0015) 2018; 23
Isebor, Durlofsky (b1140) 2014; 119
Wang, Yao, Wang (b0040) 2021; 30
Xiao, Leeuwenburgh, Lin (b0085) 2021; 220
Zhao M, Zhang K, Chen G, et al. 2020. A classification-based surrogate-assisted multiobjective evolutionary algorithm for production optimization under geological uncertainty[J]. SPE Journal, 2020, 25(05): 2450-2469.
Rao, Zhao, Deng (b0400) 2020; 195
Nwachukwu, Jeong, Pyrcz (b0080) 2018; 163
Nasir, Durlofsky (b1415) 2023
Leeuwenburgh, Egberts, Barros (b0350) 2022; 2022
Wang, Li, Reynolds (b1030) 2007
Naderi, Siavashi, Nakhaee (b0845) 2021; 143
Silva, Bellout, Giuliani (b0955) 2022; 26
Xu, Yu, Liao (b1425) 2021; 167
Islam, Vasant, Negash (b0030) 2020; 141
Le Van, Chon (b1500) 2016; 9
Ss, Anand (b0280) 2020
Sayyafzadeh (b1440) 2017; 151
Tang, Liu, Durlofsky (b0570) 2020; 413
Rahmanifard, Plaksina (b0115) 2019; 52
Deb (b0735) 2014
Cheng, Jin, Olhofer (b1155) 2016; 20
Jang, Oh, Kim (b1365) 2018; 36
Almasov, Onur, Reynolds (b1320) 2020
Naderi, Khamehchi (b0810) 2017; 150
Kang, Kim, Jung (b0630) 2019; 12
Awotunde, Sibaweihi (b0690) 2014; 6
Bouzarkouna, Ding, Auger (b0775) 2012; 16
Cheng G, An Y, Wang Z, et al. Oil well placement optimization using niche particle swarm optimization[C]//2012 Eighth International Conference on Computational Intelligence and Security. IEEE, 2012: 61-64.
Ding S, Jiang H, Li J, et al. 2016. Optimization of well location, type and trajectory by a modified particle swarm optimization algorithm for the PUNQ-S3 model[J]. Journal of Industrial and Intelligent Information, 2016, 4(1).
Moolya, Rodríguez-Martínez, Grossmann (b1240) 2022; 165
Hamida, Azizi, Saad (b1020) 2017; 149
Ng, Ghahfarokhi (b1065) 2022; 16
Franco, Vaccaro (b0295) 2014; 30
Guo, Chen, Gao (b1315) 2018; 23
Zhang, Javadpour, Yin (b0050) 2020; 56
Khor, Elkamel, Shah (b0625) 2017; 18
Afshari, Aminshahidy, Pishvaie (b0965) 2015; 34
Farias, Kadota, Celeste (b1340) 2007
Wang, Yao, Zhao (b0510) 2022; 2022
Nwankwor, Nagar, Reid (b0800) 2013; 17
Chang, Zhang (b0670) 2015; 19
Güyagüler, Horne (b0995) 2004; 7
Rwechungura, Dadashpour, Kleppe (b0600) 2011
Luo, Cruz (b0675) 2022; 26
Dragoi, Curteanu (b0940) 2016; 32
Mohammadi, Ameli (b1470) 2019; 253
Alpak, Jain (b0375) 2021; 25
Hassani, Sarkheil, Foroud (b0435) 2011
Bagherinezhad, Bozorgmehry, Pishvaie (b0720) 2017; 149
Nasir Y, Durlofsky L J. Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology[J]. arXiv preprint arXiv:2203.13375, 2022.
Chang, Bouzarkouna, Devegowda (b0005) 2015; 19
Aanonsen, Nœvdal, Oliver (b0590) 2009; 14
Choong, El-Shafie (b0615) 2015; 29
Ertekin, Sun (b0110) 2019; 12
Deb, Pratap, Agarwal (b1120) 2002; 6
Zhong, Zhang, Xue (b0355) 2022; 2022
Guo, Kang, Wang (b0250) 2022; 8
Xiao, Lin, Leeuwenburgh (b0425) 2022; 208
Yang, Vyas, Datta-Gupta (b1585) 2017; 156
Yasari, Pishvaie (b1115) 2015; 132
Chen, Li, Zhang (b0455) 2021; 542
Holland (b0975) 1992; 267
Zhang, Sheng (b0260) 2021; 95
Fang, Gao, Sun (b1520) 2014; 28
Anifowose, Labadin, Abdulraheem (b0360) 2015; 26
You, Ampomah, Sun (b1150) 2020; 279
Gholami (b1200) 2014
Babaei, Alkhatib, Pan (b0485) 2015; 19
Foroud, Seifi, AminShahidi (b1360) 2014; 123
Zhao, Yao, Zhang (b0090) 2022
Lu, Jiang, Yang (b1620) 2022; 217
Sayyafzadeh (b1450) 2015
Azari, Hamzeh, Naderi (b0740) 2018; 32
Ng, Ghahfarokhi (b1325) 2023; 220
An, Zhou, Hou (b0245) 2022; 208
Bellout, Volkov (b0970) 2018
Cruz, Luo, Petvipusit (b0680) 2022; 15
Liao (b0930) 2010; 10
Ng, Ghahfarokhi, Amar (b1215) 2022
Yousefzadeh, Ahmadi, Kazemi (b1475) 2022; 110709
Le Ravalec (b1550) 2012
Tang, Ju, Durlofsky (b0545) 2022; 118
de Brito, Durlofsky (b1205) 2021; 25
Wang, Zhang, Chen (b1400) 2023; 20
Salahshoor, Hoseini (b1255) 2021; 10
Feng, Bakhshian, Wu (b0025) 2021; 290
Ahmed, Awotunde, Siddig (b1160) 2014; 2014
Ansari (b1175) 2014; 4
Ng, Jahanbani Ghahfarokhi, Nait (b0410) 2021; 11
Ahmadi (b1445) 2015; 2015
Kennedy, Eberhart (b0785) 1995; 4
Vapnik (b1305) 1999; 10
Meng, J, E, Wu S, Lu J, et al. Face Recognition With Radial Basis Function (RBF) Neural Networks. [J]. IEEE Transactions on Neural Networks, 2002, 13(3):697-697.
Jaber, Al-Jawad, Alhuraishawy (b0660) 2019; 12
Alghareeb, Walton, Williams (b0210) 2014
Amar, Ghahfarokhi, Ng (b0195) 2021; 206
Zerpa, Queipo, Pintos (b1190) 2005; 47
Pan, Babaei, Korre (b1460) 2014; 63
Li, Xing, Liu (b0620) 2015; 1
Chen, Feng, Zhang (b1070) 2018; 117
Aliyev (b0795) 2011
Wang, Yao, Wang (b0385) 2022; 2022
Harb, Kassem, Ghorayeb (b0275) 2020; 24
Liu, Agarwal, Sun (b0175) 2021; 280
Pouladi, Goicochea, Pintos (b0320) 2002; 35
Djuraev, Jufar, Vasant (b0605) 2017; 152
Chen, Klie, Wang (b1170) 2013
Simonov, Shubin, Penigin (b1250) 2019
Redouane, Zeraibi, Amar (b0335) 2019; 80
Hutahaean, Demyanov, Arnold (b0695) 2014
Raji, Dehnamaki, Somee (b0180) 2022; 110640
Junior, Batista Filho, Funcia (b0310) 2022; 208
Klie (b1180) 2015
Salam, Gunardi, Yasutra (b1010) 2015
Alfarizi, Stanko, Bikmukhametov (b0240) 2022; 9
Javadi, Moslemizadeh, Moluki (b1015) 2021; 339
Schulte, Arnold, Geiger (b1270) 2020; 86
Sudaryanto, Yortsos (b0725) 2001
Pouladi, Keshavarz, Sharifi (b1465) 2017; 206
Mirzaei-Paiaman, Santos, Schiozer (b0665) 2021; 201
Mirjalili, Mirjalili, Lewis (b1045) 2014; 69
Bagheri, Rezaei (b0365) 2019; 34
Xiao, Zhang, Ma (b1600) 2023; 169
Sharifipour, Nakhaee, Yousefzadeh (b1075) 2021; 25
Moosavia, Woodb, Samadanic (b0450) 2020; 4
Onwunalu (b0780) 2010
Park, Yang, Al-Aruri (b1035) 2017; 152
Anifowose, Labadin, Abdulraheem (b0100) 2017; 7
Nwachukwu, Jeong, Sun (b1225) 2018
Jansen (b0635) 2011; 46
Siavashi, Tehrani, Nakhaee (b0130) 2016; 138
Tang, Durlofsky (b0315) 2022
Yao, Li, Liu (b0145) 2021; 26
Hou, Zhou, Zhang (b0640) 2015; 12
Emerick, Silva, Messer (b0165) 2009
Zhao, Zhang, Chen (b0230) 2020; 192
Navratil, De Paola, Kollias (b0340) 2020
Augustin, Gilg, Paffrath (b1290) 2008; 19
Yousefzadeh, Sharifi, Rafiei (b1490) 2021; 30
Teixeira, Secchi (b0120) 2019; 52
Zhang, Wang, Chen (b1220) 2022; 208
Xiao, Wang, Zhang (b1595) 2022; 104762
Nasir, Yu, Sepehrnoori (b0560) 2020; 186
Tanaka, Onishi, Kam (b1185) 2020
Hossain, El-Shafie (b0070) 2013; 27
Nasrollahzadeh, Maadani, Pourmina (b0880) 2021
Semnani, Ostadhassan, Xu (b0830) 2021; 203
Lu, Liu, Li (b1555) 2019; 237
Gu, Liu, Zhang (b0265) 2021; 205
Chen, Yang, Zha (b1380) 2020; 85
Hayder, Dahan, Dossary (b0290) 2006
Yu, Jafarpour (b0515) 2022
Desbordes, Zhang, Xue (b0520) 2022; 208
Yasari, Pishvaie, Khorasheh (b1125) 2013; 109
Chen, Feng, Zhang (b0705) 2018; 8
Liu, Reynolds (b0380) 2021; 26
Foss (b0065) 2012; 45
Zhang, Huang, Liu (b1505) 2017
Mishra, Lin (b0645) 2017
Zhang, Zhao, Chen (b0500) 2021; 2021
Ogbeiwi, Stephen, Arinkoola (b0555) 2020; 195
Liu, Cai, Wang (b0935) 2010; 10
Afshari, Aminshahidy, Pishvaie (b1110) 2011; 78
Reeves (b0980) 2010
Crane, Bratvedt, Bratvedt (b1535) 2000
Montes, Bartolome, Udias (b0155) 2001
Humphries, Haynes, James (b0770) 2014; 18
Guo, Liao, Zhu (b1350) 2011; 11
Ciaurri, Isebor, Durlofsky (b1000) 2010; 1
Khan, Awotunde (b0755) 2018; 162
Ding, Jiang, Li (b0895) 2014; 18
Udy, Hansen, Maddux (b0650) 2017; 5
Velez-Langs (b0160) 2005; 47
Carter, Vernon (b0475) 2022; 2022
Morales, Nasrabadi, Zhu (b1040) 2010
Plaksina, Gildin (b1590) 2018; 38
Schuetter, Mishra, Zhong (b0075) 2015
Wang, Chang, Kong (b0960) 2023
Kim, Durlofsky (b1385) 2023; 27
Badru, Kabir (b0990) 2003
Ng, Jahanbani Ghahfarokhi, Nait Amar (b0550) 2021; 30
Karkevandi-Talkhooncheh, Sharifi, Ahmadi (b0815) 2018; 166
Amirian, Fedutenko, Yang (b0105) 2018
Chen, Zhang, Xue (b0460) 2022; 116
Price, Storn, Lampinen (b0915) 2005
Chen, Feng, Zhang (b1095) 2017; 157
Golzari, Sefat, Jamshidi (b0330) 2015; 133
Ding, Lu, Xi (b0135) 2020; 95
Isebor, Durlofsky, Echeverría (b0825) 2014; 18
Ding, Lu, Xi (b0715) 2019; 121
Bahrami, Sahari Moghaddam, James (b0345) 2022; 15
Yazdanpanah, Rezaei, Mahdiyar (b0905) 2019; 3
Wang L, Li Z P, Adenutsi C D, et al. 2021.A novel multi-objective optimization method for well control parameters based on PSO-LSSVR proxy model and NSGA-II algorithm[J]. Journal of Petroleum Science and Engineering, 196: 107694.
Peters, Arts, Brouwer (b1310) 2010; 13
Ding, Jiang, Liu (b0010) 2016; 138
Wang, Li, Reynolds (b0095) 2009; 14
Wang, Hu, Xie (b1480) 2022
Hajizadeh, Christie, Demyanov (b0185) 2011; 77
Jesmani, Bellout, Hanea (b0765) 2016; 20
Janiga, Czarnota, Stopa (b0910) 2019; 173
Ma, Gildin, Plaksina (b0190) 2015; 9
Babaei, Pan (b0440) 2016; 91
Horowitz, Afonso, de Mendonça (b0465) 2013; 112
Poli, Kennedy, Blackwell (b0790) 2007; 1
Mohaghegh, Hafez, Gaskari (b1515) 2006
Hardy (b1330) 1971; 76
Lu, Jiang, Qu (b1560) 2022; 214
Vida, Shahab, Mohammad (b1375) 2019; 4
Sun, Xu, Espinoza (b0540) 2021; 25
Nguyen, Dang, Nghiem (b1575) 2016
Kumar (b0875) 2022
Morales, Nasrabadi, Zhu (b1005) 2011
Zhang, Sheng (b0140) 2020; 190
Zhao, Yao, Wang (b0530) 2022; 8
Durlofsky (b1525) 2010; 15
Tatar, Najafi-Marghmaleki, Barati-Harooni (b0445) 2016; 34
Brits, Engelbrecht, van den Bergh (b0885) 2002; 2
Ocran, Ikiensikimama, Broni-Bediako (b1060) 2022
Abdul-Latif, Edem, Hikmahtiar (b0170) 2017
AlJuboori, Hossain, Al-Fatlawi (b0285) 2020
Khoshneshin, Sadeghnejad (b1090) 2018; 52
Al Dossary, Nasrabadi (b1100) 2016; 147
Al-Ismael, Awotunde, Al-Yousef (b0750) 2018
Chen, Zhang, Xue (b1210) 2020; 185
Wang, Yao, Zhang (b0235) 2022; 2022
Boddula, Ti e. (b1105) 2018; 22
Wang, Zhao, Liu (b0430) 2022; 2022
Zangl
Horowitz (10.1016/j.fuel.2023.128826_b0465) 2013; 112
Price (10.1016/j.fuel.2023.128826_b0915) 2005
Ng (10.1016/j.fuel.2023.128826_b1215) 2022
Rostami (10.1016/j.fuel.2023.128826_b0840) 2021; 2
Afshari (10.1016/j.fuel.2023.128826_b0965) 2015; 34
Hayder (10.1016/j.fuel.2023.128826_b0290) 2006
Hajizadeh (10.1016/j.fuel.2023.128826_b0185) 2011; 77
Schuetter (10.1016/j.fuel.2023.128826_b0075) 2015
10.1016/j.fuel.2023.128826_b0900
Alpak (10.1016/j.fuel.2023.128826_b0375) 2021; 25
Nasir (10.1016/j.fuel.2023.128826_b1410) 2023; 111945
Rostamian (10.1016/j.fuel.2023.128826_b0215) 2019; 23
Chen (10.1016/j.fuel.2023.128826_b1380) 2020; 85
Zhao (10.1016/j.fuel.2023.128826_b0530) 2022; 8
Wang (10.1016/j.fuel.2023.128826_b0095) 2009; 14
Liu (10.1016/j.fuel.2023.128826_b0935) 2010; 10
Hossain (10.1016/j.fuel.2023.128826_b0070) 2013; 27
Junior (10.1016/j.fuel.2023.128826_b0310) 2022; 208
Ahmed (10.1016/j.fuel.2023.128826_b1160) 2014; 2014
Glandt (10.1016/j.fuel.2023.128826_b0580) 2005; 20
Wang (10.1016/j.fuel.2023.128826_b0430) 2022; 2022
Al Dossary (10.1016/j.fuel.2023.128826_b1100) 2016; 147
Sarma (10.1016/j.fuel.2023.128826_b1285) 2006
Xiao (10.1016/j.fuel.2023.128826_b1595) 2022; 104762
Abdul-Latif (10.1016/j.fuel.2023.128826_b0170) 2017
Babaei (10.1016/j.fuel.2023.128826_b0485) 2015; 19
Hardy (10.1016/j.fuel.2023.128826_b1330) 1971; 76
Gu (10.1016/j.fuel.2023.128826_b0265) 2021; 205
Zhao (10.1016/j.fuel.2023.128826_b0745) 2020; 2020
Zhang (10.1016/j.fuel.2023.128826_b0140) 2020; 190
Fossum (10.1016/j.fuel.2023.128826_b1545) 2017; 21
Jaber (10.1016/j.fuel.2023.128826_b0660) 2019; 12
Salahshoor (10.1016/j.fuel.2023.128826_b1255) 2021; 10
Ng (10.1016/j.fuel.2023.128826_b0410) 2021; 11
Zhang (10.1016/j.fuel.2023.128826_b0020) 2019; 178
Almasov (10.1016/j.fuel.2023.128826_b1320) 2020
Ertekin (10.1016/j.fuel.2023.128826_b0110) 2019; 12
Chen (10.1016/j.fuel.2023.128826_b1210) 2020; 185
Kim (10.1016/j.fuel.2023.128826_b1385) 2023; 27
Tang (10.1016/j.fuel.2023.128826_b0545) 2022; 118
Wang (10.1016/j.fuel.2023.128826_b0385) 2022; 2022
Zhao (10.1016/j.fuel.2023.128826_b0090) 2022
Chang (10.1016/j.fuel.2023.128826_b0685) 2020; 24
Xu (10.1016/j.fuel.2023.128826_b1425) 2021; 167
Yao (10.1016/j.fuel.2023.128826_b0145) 2021; 26
Nasir (10.1016/j.fuel.2023.128826_b1415) 2023
Agada (10.1016/j.fuel.2023.128826_b1300) 2017; 23
Le Van (10.1016/j.fuel.2023.128826_b1500) 2016; 9
Moosavia (10.1016/j.fuel.2023.128826_b0450) 2020; 4
Zerpa (10.1016/j.fuel.2023.128826_b1190) 2005; 47
Le Ravalec (10.1016/j.fuel.2023.128826_b1550) 2012
Nwachukwu (10.1016/j.fuel.2023.128826_b0080) 2018; 163
Bahrami (10.1016/j.fuel.2023.128826_b0345) 2022; 15
Yazdanpanah (10.1016/j.fuel.2023.128826_b0905) 2019; 3
Khan (10.1016/j.fuel.2023.128826_b0755) 2018; 162
Reeves (10.1016/j.fuel.2023.128826_b0980) 2010
Simonov (10.1016/j.fuel.2023.128826_b1250) 2019
Ding (10.1016/j.fuel.2023.128826_b0135) 2020; 95
Yousefzadeh (10.1016/j.fuel.2023.128826_b1490) 2021; 30
Feng (10.1016/j.fuel.2023.128826_b1565) 2020; 4
Harpole (10.1016/j.fuel.2023.128826_b0575) 1996
Leeuwenburgh (10.1016/j.fuel.2023.128826_b0350) 2022; 2022
Vida (10.1016/j.fuel.2023.128826_b1375) 2019; 4
Janiga (10.1016/j.fuel.2023.128826_b0910) 2019; 173
Schulte (10.1016/j.fuel.2023.128826_b1270) 2020; 86
Wang (10.1016/j.fuel.2023.128826_b0420) 2022; 2022
Hassani (10.1016/j.fuel.2023.128826_b0435) 2011
Isebor (10.1016/j.fuel.2023.128826_b0825) 2014; 18
Zhang (10.1016/j.fuel.2023.128826_b1275) 2022
Farias (10.1016/j.fuel.2023.128826_b1340) 2007
Foroud (10.1016/j.fuel.2023.128826_b0305) 2012; 30
Innocente (10.1016/j.fuel.2023.128826_b1265) 2015; 34
Plaksina (10.1016/j.fuel.2023.128826_b1590) 2018; 38
Teixeira (10.1016/j.fuel.2023.128826_b0120) 2019; 52
Ng (10.1016/j.fuel.2023.128826_b1325) 2023; 220
Rao (10.1016/j.fuel.2023.128826_b0400) 2020; 195
Velez-Langs (10.1016/j.fuel.2023.128826_b0160) 2005; 47
Zanbouri (10.1016/j.fuel.2023.128826_b1165) 2018; 165
Lu (10.1016/j.fuel.2023.128826_b1560) 2022; 214
Sayyafzadeh (10.1016/j.fuel.2023.128826_b1440) 2017; 151
10.1016/j.fuel.2023.128826_b0220
Zhong (10.1016/j.fuel.2023.128826_b0355) 2022; 2022
Khoshneshin (10.1016/j.fuel.2023.128826_b1090) 2018; 52
Anifowose (10.1016/j.fuel.2023.128826_b0360) 2015; 26
Al-Ismael (10.1016/j.fuel.2023.128826_b0750) 2018
Arouri (10.1016/j.fuel.2023.128826_b0870) 2022
Ss (10.1016/j.fuel.2023.128826_b0280) 2020
Zhang (10.1016/j.fuel.2023.128826_b0495) 2020
Babaei (10.1016/j.fuel.2023.128826_b0440) 2016; 91
Wang (10.1016/j.fuel.2023.128826_b1400) 2023; 20
Mohammadi (10.1016/j.fuel.2023.128826_b1470) 2019; 253
Ocran (10.1016/j.fuel.2023.128826_b1060) 2022
Harb (10.1016/j.fuel.2023.128826_b0275) 2020; 24
Siavashi (10.1016/j.fuel.2023.128826_b0130) 2016; 138
Naderi (10.1016/j.fuel.2023.128826_b0845) 2021; 143
Nasrabadi (10.1016/j.fuel.2023.128826_b0610) 2012; 5
Pan (10.1016/j.fuel.2023.128826_b1460) 2014; 63
Ding (10.1016/j.fuel.2023.128826_b0715) 2019; 121
Klie (10.1016/j.fuel.2023.128826_b1180) 2015
Ma (10.1016/j.fuel.2023.128826_b0190) 2015; 9
Crane (10.1016/j.fuel.2023.128826_b1535) 2000
Alfarizi (10.1016/j.fuel.2023.128826_b0240) 2022; 9
10.1016/j.fuel.2023.128826_b0035
Rahmanifard (10.1016/j.fuel.2023.128826_b1615) 2018; 52
Ahmed Elfeel (10.1016/j.fuel.2023.128826_b0730) 2018
Morales (10.1016/j.fuel.2023.128826_b1005) 2011
Deb (10.1016/j.fuel.2023.128826_b0735) 2014
Raji (10.1016/j.fuel.2023.128826_b0180) 2022; 110640
Park (10.1016/j.fuel.2023.128826_b1485) 2021; 196
Vapnik (10.1016/j.fuel.2023.128826_b1305) 1999; 10
10.1016/j.fuel.2023.128826_b1335
Jansen (10.1016/j.fuel.2023.128826_b0635) 2011; 46
Wang (10.1016/j.fuel.2023.128826_b1395) 2022; 217
Ding (10.1016/j.fuel.2023.128826_b0895) 2014; 18
Zhao (10.1016/j.fuel.2023.128826_b0230) 2020; 192
Isebor (10.1016/j.fuel.2023.128826_b1140) 2014; 119
Lyons (10.1016/j.fuel.2023.128826_b1510) 2013; 109
Chen (10.1016/j.fuel.2023.128826_b0950) 2022; 326
Wang (10.1016/j.fuel.2023.128826_b1370) 2019; 401
Al-Mudhafar (10.1016/j.fuel.2023.128826_b1495) 2017
Jia (10.1016/j.fuel.2023.128826_b0060) 2019; 236
Jiang (10.1016/j.fuel.2023.128826_b1025) 2014; 25
Afshari (10.1016/j.fuel.2023.128826_b1110) 2011; 78
Algosayir (10.1016/j.fuel.2023.128826_b1195) 2012
Jang (10.1016/j.fuel.2023.128826_b1365) 2018; 36
Morales (10.1016/j.fuel.2023.128826_b1040) 2010
Xiao (10.1016/j.fuel.2023.128826_b1600) 2023; 169
Zangl (10.1016/j.fuel.2023.128826_b0325) 2006
Yu (10.1016/j.fuel.2023.128826_b0515) 2022
Yang (10.1016/j.fuel.2023.128826_b0300) 2021; 35
Kristoffersen (10.1016/j.fuel.2023.128826_b0850) 2022; 26
Emerick (10.1016/j.fuel.2023.128826_b0165) 2009
Akin (10.1016/j.fuel.2023.128826_b1345) 2010; 36
Panja (10.1016/j.fuel.2023.128826_b1580) 2016
Zhang (10.1016/j.fuel.2023.128826_b0260) 2021; 95
Alghareeb (10.1016/j.fuel.2023.128826_b0210) 2014
Ghanem (10.1016/j.fuel.2023.128826_b1280) 1992
Mohaghegh (10.1016/j.fuel.2023.128826_b1515) 2006
Chen (10.1016/j.fuel.2023.128826_b0460) 2022; 116
Zhong (10.1016/j.fuel.2023.128826_b0480) 2022; 2022
Dragoi (10.1016/j.fuel.2023.128826_b0940) 2016; 32
Rwechungura (10.1016/j.fuel.2023.128826_b0600) 2011
Park (10.1016/j.fuel.2023.128826_b1035) 2017; 152
Guo (10.1016/j.fuel.2023.128826_b1350) 2011; 11
Chen (10.1016/j.fuel.2023.128826_b0705) 2018; 8
Sayyafzadeh (10.1016/j.fuel.2023.128826_b1450) 2015
Wang (10.1016/j.fuel.2023.128826_b0040) 2021; 30
Almasov (10.1016/j.fuel.2023.128826_b0470) 2021; 26
Boddula (10.1016/j.fuel.2023.128826_b1105) 2018; 22
Naderi (10.1016/j.fuel.2023.128826_b0810) 2017; 150
Desbordes (10.1016/j.fuel.2023.128826_b0520) 2022; 208
Wang (10.1016/j.fuel.2023.128826_b1030) 2007
Liu (10.1016/j.fuel.2023.128826_b0405) 2021; 148
Sun (10.1016/j.fuel.2023.128826_b0540) 2021; 25
Wang (10.1016/j.fuel.2023.128826_b0960) 2023
Ciaurri (10.1016/j.fuel.2023.128826_b1000) 2010; 1
Mishra (10.1016/j.fuel.2023.128826_b0645) 2017
Chang (10.1016/j.fuel.2023.128826_b0670) 2015; 19
Sefat (10.1016/j.fuel.2023.128826_b1455) 2014; 36
Mirjalili (10.1016/j.fuel.2023.128826_b1045) 2014; 69
Tao (10.1016/j.fuel.2023.128826_b0125) 2015
Zhang (10.1016/j.fuel.2023.128826_b1505) 2017
Aliyev (10.1016/j.fuel.2023.128826_b0795) 2011
Beykal (10.1016/j.fuel.2023.128826_b1245) 2018; 114
Kumar (10.1016/j.fuel.2023.128826_b0860) 2021; 2021
Yousefzadeh (10.1016/j.fuel.2023.128826_b1475) 2022; 110709
Amar (10.1016/j.fuel.2023.128826_b0195) 2021; 206
Jansen (10.1016/j.fuel.2023.128826_b1530) 2017; 18
Pant (10.1016/j.fuel.2023.128826_b0945) 2020; 90
Aanonsen (10.1016/j.fuel.2023.128826_b0590) 2009; 14
Udy (10.1016/j.fuel.2023.128826_b0650) 2017; 5
Yang (10.1016/j.fuel.2023.128826_b1585) 2017; 156
Augustin (10.1016/j.fuel.2023.128826_b1290) 2008; 19
Ng (10.1016/j.fuel.2023.128826_b1065) 2022; 16
Kumar (10.1016/j.fuel.2023.128826_b0875) 2022
Peters (10.1016/j.fuel.2023.128826_b1310) 2010; 13
Wang (10.1016/j.fuel.2023.128826_b0235) 2022; 2022
Holland (10.1016/j.fuel.2023.128826_b0975) 1992; 267
Zhang (10.1016/j.fuel.2023.128826_b0055) 2021; 26
Das (10.1016/j.fuel.2023.128826_b0925) 2010; 15
Yue (10.1016/j.fuel.2023.128826_b0655) 2018; 21
Nwankwor (10.1016/j.fuel.2023.128826_b0800) 2013; 17
Lu (10.1016/j.fuel.2023.128826_b1555) 2019; 237
Pouladi (10.1016/j.fuel.2023.128826_b0320) 2002; 35
Coello (10.1016/j.fuel.2023.128826_b1135) 2004; 8
Dada (10.1016/j.fuel.2023.128826_b0865) 2021; 39
10.1016/j.fuel.2023.128826_b1050
Foss (10.1016/j.fuel.2023.128826_b0065) 2012; 45
Ng (10.1016/j.fuel.2023.128826_b0550) 2021; 30
Sudaryanto (10.1016/j.fuel.2023.128826_b0725) 2001
Wilson (10.1016/j.fuel.2023.128826_b1570) 2012
Poli (10.1016/j.fuel.2023.128826_b0790) 2007; 1
Islam (10.1016/j.fuel.2023.128826_b0030) 2020; 141
AlJuboori (10.1016/j.fuel.2023.128826_b0285) 2020
Bazargan (10.1016/j.fuel.2023.128826_b0490) 2015; 86
Ocran (10.1016/j.fuel.2023.128826_b1055) 2021
Chen (10.1016/j.fuel.2023.128826_b1095) 2017; 157
Fu (10.1016/j.fuel.2023.128826_b1145) 2017; 22
Ahmadi (10.1016/j.fuel.2023.128826_b1445) 2015; 2015
Moolya (10.1016/j.fuel.2023.128826_b1240) 2022; 165
Nasrollahzadeh (10.1016/j.fuel.2023.128826_b0880) 2021
Liao (10.1016/j.fuel.2023.128826_b0930) 2010; 10
Bellout (10.1016/j.fuel.2023.128826_b0970) 2018
Guo (10.1016/j.fuel.2023.128826_b0250) 2022; 8
de Brito (10.1016/j.fuel.2023.128826_b0565) 2020; 187
Javadi (10
References_xml – volume: 20
  start-page: 261
  year: 2023
  end-page: 276
  ident: b1400
  article-title: Evolutionary-assisted reinforcement learning for reservoir real-time production optimization under uncertainty
  publication-title: Pet Sci
– volume: 56
  year: 2020
  ident: b0050
  article-title: Upscaling water flow in composite nanoporous shale matrix using lattice Boltzmann method
  publication-title: Water Resour Res
– volume: 155
  start-page: 126
  year: 2018
  end-page: 138
  ident: b0045
  article-title: Water adsorption and its impact on the pore structure characteristics of shale clay
  publication-title: Appl Clay Sci
– volume: 117
  start-page: 209
  year: 2018
  end-page: 220
  ident: b1070
  article-title: A meta-optimized hybrid global and local algorithm for well placement optimization
  publication-title: Comput Chem Eng
– volume: 11
  start-page: 1144
  year: 2011
  end-page: 1155
  ident: b1350
  article-title: Optimizing reservoir features in oil exploration management based on fusion of soft computing
  publication-title: Appl Soft Comput
– start-page: 109
  year: 2010
  end-page: 139
  ident: b0980
  article-title: Genetic algorithms[M]//Handbook of metaheuristics
– year: 2006
  ident: b1285
  article-title: Efficient closed-loop optimal control of petroleum reservoirs under uncertainty[D]
– volume: 25
  start-page: 1887
  year: 2021
  end-page: 1898
  ident: b0540
  article-title: Optimization of subsurface CO2 injection based on neural network surrogate modeling
  publication-title: Comput Geosci
– volume: 19
  start-page: 933
  year: 2015
  end-page: 950
  ident: b0005
  article-title: Multi-objective optimization for rapid and robust optimal oilfield development under geological uncertainty
  publication-title: Comput Geosci
– year: 2018
  ident: b1225
  article-title: Machine learning-based optimization of well locations and WAG parameters under geologic uncertainty[C]//SPE improved oil recovery conference
  publication-title: OnePetro
– volume: 27
  start-page: 3387
  year: 2013
  end-page: 3407
  ident: b0070
  article-title: Intelligent systems in optimizing reservoir operation policy: a review
  publication-title: Water Resour Manag
– volume: 5
  start-page: 6
  year: 2012
  end-page: 16
  ident: b0610
  article-title: Well placement optimization: a survey with special focus on application for gas/gas-condensate reservoirs
  publication-title: J Nat Gas Sci Eng
– volume: 208
  year: 2022
  ident: b0425
  article-title: Surrogate-assisted inversion for large-scale history matching: comparative study between projection-based reduced-order modeling and deep neural network
  publication-title: J Pet Sci Eng
– year: 2022
  ident: b1215
  article-title: Production optimization under waterflooding with Long Short-Term Memory and metaheuristic algorithm
  publication-title: Petroleum
– volume: 104762
  year: 2022
  ident: b1595
  article-title: Machine-learning-based well production prediction under geological and hydraulic fracture parameters uncertainty for unconventional shale gas reservoirs
  publication-title: J Nat Gas Sci Eng
– year: 2018
  ident: b0750
  article-title: A well placement optimization constrained to regional pressure balance[C]//SPE Europec featured at 80th EAGE conference and exhibition
  publication-title: OnePetro
– volume: 267
  start-page: 66
  year: 1992
  end-page: 73
  ident: b0975
  article-title: Genetic algorithms
  publication-title: Sci Am
– volume: 141
  year: 2020
  ident: b0030
  article-title: A holistic review on artificial intelligence techniques for well placement optimization problem
  publication-title: Adv Eng Softw
– volume: 45
  start-page: 7
  year: 2012
  end-page: 12
  ident: b0065
  article-title: Real-time production optimization and reservoir management at the IO center
  publication-title: IFAC Proceedings Volumes
– volume: 58
  start-page: 1246
  year: 1963
  end-page: 1266
  ident: b1260
  article-title: Principles of geostatistics
  publication-title: Econ Geol
– volume: 86
  year: 2020
  ident: b1270
  article-title: Multi-objective optimization under uncertainty of geothermal reservoirs using experimental design-based proxy models
  publication-title: Geothermics
– volume: 11
  start-page: 1781
  year: 2021
  end-page: 1796
  ident: b0270
  article-title: Application of particle swarm optimization and genetic algorithm for optimization of a southern Iranian oilfield
  publication-title: J Pet Explor Prod
– volume: 151
  start-page: 143
  year: 2017
  end-page: 158
  ident: b1440
  article-title: Reducing the computation time of well placement optimisation problems using self-adaptive metamodelling
  publication-title: J Pet Sci Eng
– volume: 280
  year: 2021
  ident: b0175
  article-title: Numerical simulation and optimization of injection rates and wells placement for carbon dioxide enhanced gas recovery using a genetic algorithm
  publication-title: J Clean Prod
– volume: 26
  start-page: 329
  year: 2022
  end-page: 349
  ident: b0955
  article-title: Derivative-free trust region optimization for robust well control under geological uncertainty
  publication-title: Comput Geosci
– volume: 38
  start-page: 67
  year: 2018
  end-page: 82
  ident: b1590
  article-title: Applied method for production design optimization under geologic and economic uncertainties in shale gas reservoirs
  publication-title: Int J Model Simul
– volume: 12
  start-page: 114
  year: 2015
  end-page: 128
  ident: b0640
  article-title: A review of closed-loop reservoir management
  publication-title: Pet Sci
– volume: 112
  start-page: 206
  year: 2013
  end-page: 219
  ident: b0465
  article-title: Surrogate based optimal waterflooding management
  publication-title: J Pet Sci Eng
– volume: 30
  start-page: 987
  year: 2014
  end-page: 1002
  ident: b0295
  article-title: Numerical simulation of geothermal reservoirs for the sustainable design of energy plants: a review
  publication-title: Renew Sustain Energy Rev
– volume: 35
  start-page: 83
  year: 2002
  end-page: 93
  ident: b0320
  article-title: Surrogate modeling-based optimization of SAGD processes
  publication-title: J Pet Sci Eng
– volume: 196
  year: 2021
  ident: b1485
  article-title: Novel hybrid fast marching method-based simulation workflow for rapid history matching and completion design optimization of hydraulically fractured shale wells
  publication-title: J Pet Sci Eng
– volume: 217
  year: 2022
  ident: b1395
  article-title: Deep reinforcement learning and adaptive policy transfer for generalizable well control optimization
  publication-title: J Pet Sci Eng
– volume: 2
  start-page: 55
  year: 2021
  end-page: 69
  ident: b0840
  article-title: Optimizing well placement via metaheuristic algorithms (case study: Shadegan fields)
  publication-title: Constr sci technol
– volume: 150
  start-page: 348
  year: 2017
  end-page: 354
  ident: b0810
  article-title: Well placement optimization using metaheuristic bat algorithm
  publication-title: J Pet Sci Eng
– volume: 52
  start-page: 3121
  year: 2013
  end-page: 3132
  ident: b1295
  article-title: Uncertainty quantification in CO2 sequestration using surrogate models from polynomial chaos expansion
  publication-title: Ind Eng Chem Res
– volume: 118
  year: 2022
  ident: b0545
  article-title: Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration
  publication-title: Int J Greenhouse Gas Control
– volume: 208
  year: 2022
  ident: b0310
  article-title: A comparison of machine learning surrogate models for net present value prediction from well placement binary data
  publication-title: J Pet Sci Eng
– year: 2017
  ident: b1495
  article-title: Proxy-based metamodeling optimization of the gas-assisted gravity drainage GAGD process in heterogeneous sandstone reservoirs[C]//SPE Western Regional Meeting
  publication-title: OnePetro
– volume: 18
  start-page: 105
  year: 2017
  end-page: 132
  ident: b1530
  article-title: Use of reduced-order models in well control optimization
  publication-title: Optim Eng
– volume: 4
  start-page: 315
  year: 2014
  end-page: 325
  ident: b1175
  article-title: Development of a surrogate simulator for two-phase subsurface flow simulation using trajectory piecewise linearization
  publication-title: J Pet Explor Prod Technol
– year: 2022
  ident: b0875
  article-title: Joint Optimization of Well Placement and Control Using Multi-Stage
  publication-title: Multi-Swarm PSO[C]//International Petroleum Technology Conference
– volume: 52
  start-page: 2295
  year: 2019
  end-page: 2318
  ident: b0115
  article-title: Application of artificial intelligence techniques in the petroleum industry: a review
  publication-title: Artif Intell Rev
– volume: 2022
  year: 2022
  ident: b0430
  article-title: A robust optimization approach of well placement for doublet in heterogeneous geothermal reservoirs using random forest technique and genetic algorithm
  publication-title: Energy
– year: 2017
  ident: b0645
  article-title: Application of data analytics for production optimization in unconventional reservoirs: a critical review [c]//spe/aapg/seg unconventional resources technology conference
  publication-title: OnePetro
– volume: 2022
  start-page: 1
  year: 2022
  end-page: 17
  ident: b0710
  article-title: An intelligent multi-fidelity surrogate-assisted multi-objective reservoir production optimization method based on transfer stacking
  publication-title: Comput Geosci
– volume: 109
  start-page: 1
  year: 2013
  end-page: 11
  ident: b1125
  article-title: Application of multi-criterion robust optimization in water-flooding of oil reservoir
  publication-title: J Pet Sci Eng
– volume: 401
  year: 2019
  ident: b1370
  article-title: Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media
  publication-title: J Comput Phys
– volume: 30
  start-page: 4825
  year: 2021
  end-page: 4841
  ident: b0040
  article-title: A novel surrogate-assisted multi-objective optimization method for well control parameters based on tri-training
  publication-title: Nat Resour Res
– volume: 80
  start-page: 177
  year: 2019
  end-page: 191
  ident: b0335
  article-title: Adaptive surrogate modeling with evolutionary algorithm for well placement optimization in fractured reservoirs
  publication-title: Appl Soft Comput
– volume: 7
  start-page: 24
  year: 2004
  end-page: 32
  ident: b0995
  article-title: Uncertainty assessment of well-placement optimization
  publication-title: SPE Reserv Eval Eng
– volume: 2022
  year: 2022
  ident: b0385
  article-title: Integrated optimization design for horizontal well spacing and fracture stage placement in shale gas reservoir
  publication-title: J Nat Gas Sci Eng
– start-page: 1
  year: 2022
  end-page: 23
  ident: b1060
  article-title: Grey wolf optimizer for solving well placement optimization problem constrained to minimum well distan
  publication-title: Pet Sci Technol
– volume: 25
  start-page: 1939
  year: 2021
  end-page: 1956
  ident: b1075
  article-title: Well placement optimization using shuffled frog leaping algorithm
  publication-title: Comput Geosci
– volume: 28
  start-page: 4641
  year: 2014
  end-page: 4649
  ident: b1520
  article-title: Fatigue optimization with combined ensembles of surrogate modeling for a truck cab
  publication-title: J Mech Sci Technol
– volume: 52
  start-page: 498
  year: 2019
  end-page: 501
  ident: b0120
  article-title: Machine learning models to support reservoir production optimization
  publication-title: IFAC-PapersOnLine
– volume: 413
  year: 2020
  ident: b0570
  article-title: A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
  publication-title: J Comput Phys
– volume: 253
  year: 2022
  ident: b1610
  article-title: Physics-informed surrogate modeling for hydro-fracture geometry prediction based on deep learning
  publication-title: Energy
– volume: 90
  year: 2020
  ident: b0945
  article-title: Differential Evolution: A review of more than two decades of research
  publication-title: Eng Appl Artif Intel
– volume: 85
  start-page: 213
  year: 2020
  end-page: 225
  ident: b1380
  article-title: Deep learning reservoir porosity prediction based on multilayer long short-term memory network
  publication-title: Geophysics
– volume: 5
  start-page: 34
  year: 2017
  ident: b0650
  article-title: Review of field development optimization of waterflooding, EOR, and well placement focusing on history matching and optimization algorithms
  publication-title: Processes
– year: 2014
  ident: b1200
  article-title: On the optimization of CO
– volume: 34
  start-page: 454
  year: 2016
  end-page: 463
  ident: b0445
  article-title: Implementing radial basis function neural networks for prediction of saturation pressure of crude oils
  publication-title: Pet Sci Technol
– volume: 91
  start-page: 19
  year: 2016
  end-page: 32
  ident: b0440
  article-title: Performance comparison of several response surface surrogate models and ensemble methods for water injection optimization under uncertainty
  publication-title: Comput Geosci
– reference: Nasir Y, Durlofsky L J. Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology[J]. arXiv preprint arXiv:2203.13375, 2022.
– volume: 190
  year: 2020
  ident: b0140
  article-title: Optimization of horizontal well fracturing in shale gas reservoir based on stimulated reservoir volume
  publication-title: J Pet Sci Eng
– year: 2018
  ident: b1085
  article-title: An intelligent method for deep-water injection-production well pattern design[C]//The 28th International Ocean and Polar Engineering Conference
  publication-title: OnePetro
– volume: 30
  start-page: 1091
  year: 2012
  end-page: 1101
  ident: b0305
  article-title: Surrogate-based optimization of horizontal well placement in a mature oil reservoir
  publication-title: Pet Sci Technol
– volume: 53
  start-page: 711
  year: 2021
  end-page: 735
  ident: b0835
  article-title: A comparison of extremal optimization, differential evolution and particle swarm optimization methods for well placement design in groundwater management
  publication-title: Math Geosci
– year: 2023
  ident: b0960
  article-title: Deep learning based closed-loop well control optimization of geothermal reservoir with uncertain permeability
  publication-title: Renew Energy
– year: 2018
  ident: b1235
  article-title: Automated optimization of well placement via adaptive space-filling surrogate modelling and evolutionary algorithm[C]//Abu Dhabi
  publication-title: International Petroleum Exhibition & Conference OnePetro
– volume: 2021
  year: 2021
  ident: b0500
  article-title: A double-model differential evolution for constrained waterflooding production optimization
  publication-title: J Pet Sci Eng
– volume: 26
  start-page: 828
  year: 2021
  end-page: 846
  ident: b0055
  article-title: Pore-scale perspective of gas/water two-phase flow in shale
  publication-title: SPE J
– reference: Cheng G, An Y, Wang Z, et al. Oil well placement optimization using niche particle swarm optimization[C]//2012 Eighth International Conference on Computational Intelligence and Security. IEEE, 2012: 61-64.
– volume: 78
  start-page: 664
  year: 2011
  end-page: 678
  ident: b1110
  article-title: Application of an improved harmony search algorithm in well placement optimization using streamline simulation
  publication-title: J Pet Sci Eng
– volume: 11
  start-page: 3103
  year: 2021
  end-page: 3127
  ident: b0410
  article-title: Application of nature-inspired algorithms and artificial neural network in waterflooding well control optimization
  publication-title: J Pet Explor Prod Technol
– volume: 35
  start-page: 7387
  year: 2021
  end-page: 7405
  ident: b0300
  article-title: A critical review of reservoir simulation applications in key thermal recovery processes: lessons, opportunities, and challenges
  publication-title: Energy Fuel
– volume: 210
  year: 2022
  ident: b0525
  article-title: Multi-solution well placement optimization using ensemble learning of surrogate models
  publication-title: J Pet Sci Eng
– volume: 51
  start-page: 905
  year: 2015
  end-page: 913
  ident: b1540
  article-title: Shape optimization of trawl-doors using variable-fidelity models and space mapping
  publication-title: Procedia Comput Sci
– volume: 207
  year: 2021
  ident: b0255
  article-title: Efficient and robust optimization for well patterns using a PSO algorithm with a CNN-based proxy model
  publication-title: J Pet Sci Eng
– year: 2018
  ident: b0730
  article-title: Employing smart flow control valves for fast closed-loop reservoir management[c]//abu dhabi international petroleum exhibition & conference
  publication-title: OnePetro
– volume: 2022
  year: 2022
  ident: b0420
  article-title: Efficient well placement optimization based on theory-guided convolutional neural network
  publication-title: J Pet Sci Eng
– volume: 2015
  year: 2015
  ident: b1445
  article-title: Developing a robust surrogate model of chemical flooding based on the artificial neural network for enhanced oil recovery implications
  publication-title: Math Probl Eng
– volume: 178
  start-page: 82
  year: 2019
  end-page: 96
  ident: b0020
  article-title: Integrated optimization design for horizontal well placement and fracturing in tight oil reservoirs
  publication-title: J Pet Sci Eng
– volume: 253
  start-page: 840
  year: 2019
  end-page: 856
  ident: b1470
  article-title: Toward mechanistic understanding of Fast SAGD process in naturally fractured heavy oil reservoirs: Application of response surface methodology and genetic algorithm
  publication-title: Fuel
– volume: 1
  start-page: 8
  year: 2015
  end-page: 15
  ident: b0620
  article-title: A review on hydraulic fracturing of unconventional reservoir
  publication-title: Petroleum
– volume: 13
  start-page: 1664
  year: 2021
  ident: b1080
  article-title: Intelligent drilling of oil and gas wells using response surface methodology and artificial bee colony[J]
  publication-title: Sustainability
– year: 2020
  ident: b0340
  article-title: An end-to-end deep sequential surrogate model for high performance reservoir modelling: enabling new workflows[c]spe annual technical conference and exhibition
  publication-title: OnePetro
– volume: 2:
  start-page: 692
  year: 2002
  end-page: 696
  ident: b0885
  publication-title: A niching particle swarm optimizer[C]//Proceedings of the 4th Asia-Pacific conference on simulated evolution and learning
– volume: 12
  start-page: 1859
  year: 2019
  ident: b0630
  article-title: Efficient assessment of reservoir uncertainty using distance-based clustering: a review
  publication-title: Energies
– volume: 2020
  year: 2020
  ident: b0745
  article-title: Surrogate-assisted differential evolution for production optimization with nonlinear state constraints
  publication-title: J Pet Sci Eng
– volume: 13
  start-page: 1085
  year: 2013
  end-page: 1098
  ident: b1355
  article-title: Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
  publication-title: Appl Soft Comput
– volume: 26
  start-page: 1914
  year: 2021
  end-page: 1945
  ident: b0470
  article-title: Life-cycle optimization of the carbon dioxide huff-n-puff process in an unconventional oil reservoir using least-squares support vector and gaussian process regression proxies
  publication-title: SPE J
– volume: 34
  start-page: 463
  year: 2015
  end-page: 484
  ident: b1265
  article-title: Particle swarm algorithm with adaptive constraint handling and integrated surrogate model for the management of petroleum fields
  publication-title: Appl Soft Comput
– volume: 76
  start-page: 1905
  year: 1971
  end-page: 1915
  ident: b1330
  article-title: Multiquadric equations of topography and other irregular surfaces
  publication-title: J Geophys Res
– volume: 152
  start-page: 81
  year: 2017
  end-page: 90
  ident: b1035
  article-title: Improved decision making with new efficient workflows for well placement optimization
  publication-title: J Pet Sci Eng
– volume: 201
  year: 2021
  ident: b0665
  article-title: A review on closed-loop field development and management
  publication-title: J Pet Sci Eng
– volume: 9
  start-page: 13
  year: 2009
  ident: b0985
  publication-title: A comparative study on differential evolution and genetic algorithms for some combinatorial problems[C]//Proceedings of 8th Mexican international conference on artificial intelligence
– reference: Meng, J, E, Wu S, Lu J, et al. Face Recognition With Radial Basis Function (RBF) Neural Networks. [J]. IEEE Transactions on Neural Networks, 2002, 13(3):697-697.
– start-page: 403
  year: 2014
  end-page: 449
  ident: b0735
  article-title: Multi-objective optimization[M]//Search methodologies
– year: 2011
  ident: b0435
  article-title: A proxy modeling approach to optimization horizontal well placement[C]//45th US Rock mechanics/geomechanics Symposium
  publication-title: OnePetro
– volume: 195
  year: 2020
  ident: b0400
  article-title: Artificial-neural-network (ANN) based proxy model for performances forecast and inverse project design of water huff-n-puff technology
  publication-title: J Pet Sci Eng
– volume: 186
  year: 2020
  ident: b0560
  article-title: Hybrid derivative-free technique and effective machine learning surrogate for nonlinear constrained well placement and production optimization
  publication-title: J Pet Sci Eng
– volume: 26
  start-page: 1032
  year: 2021
  end-page: 1049
  ident: b0145
  article-title: Optimization of fracturing parameters by modified variable-length particle-swarm optimization in shale-gas reservoir
  publication-title: SPE J
– volume: 2022
  year: 2022
  ident: b0510
  article-title: A hybrid surrogate-assisted integrated optimization of horizontal well spacing and hydraulic fracture stage placement in naturally fractured shale gas reservoir
  publication-title: J Pet Sci Eng
– volume: 6
  start-page: 182
  year: 2002
  end-page: 197
  ident: b1120
  article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II
  publication-title: IEEE Trans Evol Comput
– volume: 208
  year: 2022
  ident: b1220
  article-title: Training effective deep reinforcement learning agents for real-time life-cycle production optimization
  publication-title: J Pet Sci Eng
– start-page: 1
  year: 2022
  end-page: 18
  ident: b0315
  article-title: Use of low-fidelity models with machine-learning error correction for well placement optimization
  publication-title: Comput Geosci
– year: 2022
  ident: b0820
  article-title: Well Control Optimization of Offshore Horizontal Steam Flooding Wells Using Artificial Intelligence Algorithm[C]//Offshore Technology Conference Asia
  publication-title: OnePetro
– year: 2001
  ident: b0725
  article-title: Optimization of displacements in porous media using rate control[C]//SPE Annual Technical Conference and Exhibition
  publication-title: OnePetro
– volume: 162
  start-page: 652
  year: 2018
  end-page: 665
  ident: b0755
  article-title: Determination of vertical/horizontal well type from generalized field development optimization
  publication-title: J Pet Sci Eng
– reference: Ding S, Jiang H, Li J, et al. 2016. Optimization of well location, type and trajectory by a modified particle swarm optimization algorithm for the PUNQ-S3 model[J]. Journal of Industrial and Intelligent Information, 2016, 4(1).
– year: 2012
  ident: b1570
  article-title: Computational optimization of shale resource development using reduced-physics surrogate models[C]//SPE
  publication-title: Western Regional Meeting OnePetro
– volume: 22
  start-page: 657
  year: 2018
  end-page: 675
  ident: b1105
  article-title: Groundwater management using a new coupled model of meshless local Petrov-Galerkin method and modified artificial bee colony algorithm
  publication-title: Comput Geosci
– volume: 206
  start-page: 467
  year: 2017
  end-page: 481
  ident: b1465
  article-title: A robust proxy for production well placement optimization problems
  publication-title: Fuel
– volume: 192
  year: 2020
  ident: b0230
  article-title: A surrogate-assisted multi-objective evolutionary algorithm with dimension-reduction for production optimization
  publication-title: J Pet Sci Eng
– year: 2012
  ident: b1550
  article-title: Optimizing well placement with quality maps derived from multi-fidelity meta-models[C]//SPE
  publication-title: Europec/EAGE Annual Conference OnePetro
– reference: Wang L, Li Z P, Adenutsi C D, et al. 2021.A novel multi-objective optimization method for well control parameters based on PSO-LSSVR proxy model and NSGA-II algorithm[J]. Journal of Petroleum Science and Engineering, 196: 107694.
– year: 2000
  ident: b1535
  article-title: A fully compositional streamline simulator[C]//SPE
  publication-title: Annual Technical Conference and Exhibition OnePetro
– year: 2015
  ident: b1010
  article-title: Production optimization strategy using hybrid genetic algorithm[C]//Abu Dhabi International Petroleum Exhibition and Conference
  publication-title: OnePetro
– year: 2011
  ident: b0600
  article-title: Advanced history matching techniques reviewed[C]//SPE Middle East Oil and Gas Show and Conference
  publication-title: OnePetro
– volume: 138
  start-page: 138
  year: 2016
  end-page: 152
  ident: b0010
  article-title: Determining the levels and parameters of thief zone based on automatic history matching and fuzzy method
  publication-title: J Pet Sci Eng
– volume: 20
  start-page: 1185
  year: 2016
  end-page: 1209
  ident: b0765
  article-title: Well placement optimization subject to realistic field development constraints
  publication-title: Comput Geosci
– year: 2017
  ident: b0170
  article-title: Well placement optimisation in gas-condensate reservoirs using genetic algorithms[C]SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition
  publication-title: OnePetro
– volume: 29
  start-page: 1267
  year: 2015
  end-page: 1282
  ident: b0615
  article-title: State-of-the-art for modelling reservoir inflows and management optimization
  publication-title: Water Resour Manag
– volume: 119
  start-page: 123
  year: 2014
  end-page: 138
  ident: b1140
  article-title: Biobjective optimization for general oil field development
  publication-title: J Pet Sci Eng
– volume: 149
  start-page: 675
  year: 2017
  end-page: 685
  ident: b0720
  article-title: Multi-criterion based well placement and control in the water-flooding of naturally fractured reservoir
  publication-title: J Pet Sci Eng
– year: 2010
  ident: b1040
  article-title: A modified genetic algorithm for horizontal well placement optimization in gas condensate reservoirs[C]//SPE Annual Technical Conference and Exhibition
  publication-title: OnePetro
– volume: 21
  start-page: 204
  year: 2018
  end-page: 217
  ident: b0655
  article-title: A review of approaches to uncertainty assessment in energy system optimization models
  publication-title: Energ Strat Rev
– volume: 21
  start-page: 167
  year: 2017
  end-page: 186
  ident: b1545
  article-title: Coarse-scale data assimilation as a generic alternative to localization
  publication-title: Comput Geosci
– volume: 156
  start-page: 91
  year: 2017
  end-page: 101
  ident: b1585
  article-title: Rapid multistage hydraulic fracture design and optimization in unconventional reservoirs using a novel fast marching method
  publication-title: J Pet Sci Eng
– volume: 77
  start-page: 78
  year: 2011
  end-page: 92
  ident: b0185
  article-title: Ant colony optimization for history matching and uncertainty quantification of reservoir models
  publication-title: J Pet Sci Eng
– volume: 24
  start-page: 1979
  year: 2020
  end-page: 2000
  ident: b0275
  article-title: Black hole particle swarm optimization for well placement optimization
  publication-title: Comput Geosci
– start-page: 1
  year: 2005
  end-page: 36
  ident: b0915
  article-title: The motivation for differential evolution
– volume: 339
  year: 2021
  ident: b1015
  article-title: A combination of artificial neural network and genetic algorithm to optimize gas injection: a case study for EOR Applications
  publication-title: J Mol Liq
– volume: 15
  start-page: 426
  year: 2010
  end-page: 435
  ident: b1525
  article-title: Use of reduced-order modeling procedures for production optimization
  publication-title: SPE J
– volume: 15
  start-page: 185
  year: 2011
  end-page: 221
  ident: b0595
  article-title: Recent progress on reservoir history matching: a review
  publication-title: Comput Geosci
– volume: 157
  start-page: 1067
  year: 2017
  end-page: 1083
  ident: b1095
  article-title: Well placement optimization using an analytical formula-based objective function and cat swarm optimization algorithm
  publication-title: J Pet Sci Eng
– volume: 36
  start-page: 433
  year: 2018
  end-page: 449
  ident: b1365
  article-title: Well-placement optimisation using sequential artificial neural networks
  publication-title: Energy Explor Exploit
– year: 2022
  ident: b1480
  article-title: Optimization and Analysis of CO2 Huff-n-Puff Process in Shale Oil Reservoirs Using Response Surface Methodology (RSM)
  publication-title: Geofluids
– volume: 10
  start-page: 988
  year: 1999
  end-page: 999
  ident: b1305
  article-title: An overview of statistical learning theory
  publication-title: IEEE Trans Neural Netw
– year: 2009
  ident: b0165
  article-title: Well placement optimization using a genetic algorithm with nonlinear constraints[C]SPE reservoir simulation symposium
  publication-title: OnePetro
– volume: 185
  year: 2020
  ident: b1210
  article-title: Surrogate-assisted evolutionary algorithm with dimensionality reduction method for water flooding production optimization
  publication-title: J Pet Sci Eng
– volume: 22
  start-page: 1984
  year: 2017
  end-page: 1998
  ident: b1145
  article-title: Model-based multiobjective optimization methods for efficient management of subsurface flow
  publication-title: SPE J
– volume: 36
  start-page: 1175
  year: 2014
  end-page: 1185
  ident: b1455
  article-title: The development of techniques for the optimization of water-flooding processes in petroleum reservoirs using a genetic algorithm and surrogate modeling approach
  publication-title: Energy Sources Part A
– volume: 8
  start-page: 3589
  year: 2022
  end-page: 3599
  ident: b0530
  article-title: Optimization design of horizontal well fracture stage placement in shale gas reservoirs based on an efficient variable-fidelity surrogate model and intelligent algorithm
  publication-title: Energy Rep
– volume: 26
  start-page: 1590
  year: 2021
  end-page: 1613
  ident: b0380
  article-title: Gradient-enhanced support vector regression for robust life-cycle production optimization with nonlinear-state constraints
  publication-title: SPE J
– volume: 10
  start-page: 1188
  year: 2010
  end-page: 1199
  ident: b0930
  article-title: Two hybrid differential evolution algorithms for engineering design optimization
  publication-title: Appl Soft Comput
– volume: 99
  year: 2022
  ident: b0535
  article-title: Data-driven multi-objective optimization design method for shale gas fracturing parameters
  publication-title: J Nat Gas Sci Eng
– volume: 34
  start-page: 4545
  year: 2020
  end-page: 4560
  ident: b0200
  article-title: Hybrid algorithm of particle swarm optimization and grey wolf optimizer for reservoir operation management
  publication-title: Water Resour Manag
– start-page: 232
  year: 2019
  end-page: 241
  ident: b0390
  article-title: Artificial neural network surrogate modeling of oil reservoir: a case study[C]//International Symposium on Neural Networks
– start-page: 1
  year: 2018
  end-page: 19
  ident: b0970
  article-title: Development of efficient constraint-handling approaches for well placement optimization[C]//ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery
– volume: 2022
  year: 2022
  ident: b0235
  article-title: A novel self-adaptive multi-fidelity surrogate-assisted multi-objective evolutionary algorithm for simulation-based production optimization
  publication-title: J Pet Sci Eng
– volume: 2021
  start-page: 1
  year: 2021
  end-page: 5
  ident: b0860
  article-title: Hybrid of PSO and CMA-ES algorithms for joint optimization of well placement and control[C]//82nd EAGE Annual Conference & Exhibition
  publication-title: European Assoc Geoscientists Eng
– volume: 23
  start-page: 270
  year: 2017
  end-page: 283
  ident: b1300
  article-title: Data-driven surrogates for rapid simulation and optimization of WAG injection in fractured carbonate reservoirs
  publication-title: Pet Geosci
– volume: 8
  start-page: 1225
  year: 2018
  end-page: 1233
  ident: b0705
  article-title: Well placement optimization for offshore oilfield based on Theil index and differential evolution algorithm
  publication-title: J Pet Explor Prod Technol
– volume: 214
  year: 2022
  ident: b1560
  article-title: Hydraulic fracturing design for shale oils based on sweet spot mapping: A case study of the Jimusar formation in China
  publication-title: J Pet Sci Eng
– volume: 19
  start-page: 979
  year: 2015
  end-page: 998
  ident: b0485
  article-title: Robust optimization of subsurface flow using polynomial chaos and response surface surrogates
  publication-title: Comput Geosci
– volume: 192
  year: 2020
  ident: b0395
  article-title: Deep-learning-based surrogate model for reservoir simulation with time-varying well controls
  publication-title: J Pet Sci Eng
– volume: 23
  start-page: 2428
  year: 2018
  end-page: 2443
  ident: b1315
  article-title: Enhancing the performance of the distributed gauss-newton optimization method by reducing the effect of numerical noise and truncation error with support-vector regression
  publication-title: SPE J
– volume: 187
  year: 2020
  ident: b0565
  article-title: Well control optimization using a two-step surrogate treatment
  publication-title: J Pet Sci Eng
– volume: 51
  start-page: 79
  year: 2011
  end-page: 104
  ident: b1230
  article-title: Mixture surrogate models based on Dempster-Shafer theory for global optimization problems
  publication-title: J Glob Optim
– year: 2016
  ident: b1575
  article-title: Robust optimization of unconventional reservoirs under uncertainties[C]//SPE
  publication-title: Europec featured at 78th EAGE Conference and Exhibition
– volume: 18
  start-page: 433
  year: 2014
  end-page: 448
  ident: b0770
  article-title: Simultaneous and sequential approaches to joint optimization of well placement and control
  publication-title: Comput Geosci
– volume: 95
  year: 2020
  ident: b0135
  article-title: Efficient well placement optimization coupling hybrid objective function with particle swarm optimization algorithm
  publication-title: Appl Soft Comput
– volume: 195
  year: 2020
  ident: b0555
  article-title: Robust optimisation of water flooding using an experimental design-based surrogate model: a case study of a Niger-Delta oil reservoir
  publication-title: J Pet Sci Eng
– volume: 34
  start-page: 109
  year: 2015
  end-page: 116
  ident: b0965
  article-title: Well placement optimization using differential evolution algorithm
  publication-title: Iranian J Chem Chem Eng (IJCCE)
– year: 2015
  ident: b1450
  article-title: A self-adaptive surrogate-assisted evolutionary algorithm for well placement optimization problems[C]//SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition
  publication-title: OnePetro
– year: 2016
  ident: b1580
  article-title: Least square support vector machine: an emerging tool for data analysis[C]//SPE
  publication-title: Low Perm Symposium OnePetro
– start-page: 43
  year: 2018
  end-page: 67
  ident: b0105
  article-title: Artificial neural network modeling and forecasting of oil reservoir performance
  publication-title: Appl. data manage. Anal.
– year: 2019
  ident: b1420
  article-title: Waterflooding optimization under geological uncertainties by using deep reinforcement learning algorithms[C]//SPE Annual Technical Conference and Exhibition
  publication-title: OnePetro
– volume: 2022
  start-page: 1
  year: 2022
  end-page: 14
  ident: b0415
  article-title: Closed-loop reservoir management using a convolutional-recurrent neural network proxy for robust production optimization[C]//ECMOR 2022
  publication-title: European Assoc Geoscientists Eng
– volume: 4
  start-page: 5
  year: 2020
  ident: b0450
  article-title: Modeling performance of foam-co2 reservoir flooding with hybrid machine-learning models combining a radial basis function and evolutionary algorithms
  publication-title: Methods
– volume: 138
  year: 2016
  ident: b0130
  article-title: Efficient particle swarm optimization of well placement to enhance oil recovery using a novel streamline-based objective function
  publication-title: J Energy Res Technol
– volume: 2022
  start-page: 1
  year: 2022
  end-page: 18
  ident: b0480
  article-title: Historical window-enhanced transfer gaussian process for production optimization
  publication-title: SPE J
– volume: 110709
  year: 2022
  ident: b1475
  article-title: Toward investigating the application of reservoir opportunity index in facilitating well placement optimization under geological uncertainty
  publication-title: J Pet Sci Eng
– volume: 8
  start-page: 252
  year: 2022
  end-page: 263
  ident: b0250
  article-title: Optimization of fracturing parameters for tight oil production based on genetic algorithm
  publication-title: Petroleum
– volume: 47
  start-page: 197
  year: 2005
  end-page: 208
  ident: b1190
  article-title: An optimization methodology of alkaline–surfactant–polymer flooding processes using field scale numerical simulation and multiple surrogates
  publication-title: J Pet Sci Eng
– volume: 27
  start-page: 1160
  year: 2022
  end-page: 1175
  ident: b1435
  article-title: An Efficient Spatial-Temporal Convolution Recurrent Neural Network Surrogate Model for History Matching
  publication-title: SPE J
– volume: 165
  year: 2022
  ident: b1240
  article-title: Optimal producer well placement and multiperiod production scheduling using surrogate modeling
  publication-title: Comput Chem Eng
– year: 2007
  ident: b1340
  article-title: RNN-based inflow forecasting applied to reservoir operation via implicit stochastic optimization[C]
  publication-title: Symposium Quantification & Reduction of Predictive Uncertainty for Sustainable Water Resources Management
– volume: 148
  year: 2021
  ident: b0405
  article-title: 3D CNN-PCA: A deep-learning-based parameterization for complex geomodels
  publication-title: Comput Geosci
– volume: 1
  start-page: 1301
  year: 2010
  end-page: 1310
  ident: b1000
  article-title: Application of derivative-free methodologies to generally constrained oil production optimization problems
  publication-title: Procedia Comput Sci
– volume: 203
  year: 2021
  ident: b0830
  article-title: Joint optimization of constrained well placement and control parameters using teaching-learning based optimization and an inter-distance algorithm
  publication-title: J Pet Sci Eng
– volume: 63
  start-page: 3483
  year: 2014
  end-page: 3491
  ident: b1460
  article-title: Artificial Neural Network based surrogate modelling for multi-objective optimisation of geological CO2 storage operations
  publication-title: Energy Procedia
– volume: 27
  start-page: 226
  year: 2022
  end-page: 245
  ident: b1390
  article-title: Deep reinforcement learning for generalizable field development optimization
  publication-title: SPE J
– volume: 3
  start-page: 365
  year: 2019
  ident: b0905
  article-title: Development of an efficient hybrid GA-PSO approach applicable for well placement optimization
  publication-title: Adv Geo-Energy Res
– volume: 8
  start-page: 256
  year: 2004
  end-page: 279
  ident: b1135
  article-title: Handling multiple objectives with particle swarm optimization
  publication-title: IEEE Trans Evol Comput
– volume: 542
  start-page: 228
  year: 2021
  end-page: 246
  ident: b0455
  article-title: Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization
  publication-title: Inf Sci
– volume: 163
  start-page: 463
  year: 2018
  end-page: 475
  ident: b0080
  article-title: Fast evaluation of well placements in heterogeneous reservoir models using machine learning
  publication-title: J Pet Sci Eng
– year: 2006
  ident: b0290
  article-title: Production optimization through coupled facility-reservoir simulation[c]intelligent energy conference and exhibition
  publication-title: OnePetro
– volume: 165
  start-page: 496
  year: 2018
  end-page: 504
  ident: b1165
  article-title: Development of robust surrogate model for economic performance prediction of oil reservoir production under waterflooding process
  publication-title: J Pet Sci Eng
– reference: Zhao M, Zhang K, Chen G, et al. 2020. A classification-based surrogate-assisted multiobjective evolutionary algorithm for production optimization under geological uncertainty[J]. SPE Journal, 2020, 25(05): 2450-2469.
– volume: 95
  start-page: 75
  year: 2016
  end-page: 96
  ident: b0760
  article-title: A multilevel coordinate search algorithm for well placement, control and joint optimization
  publication-title: Comput Chem Eng
– year: 2020
  ident: b1185
  article-title: Application of combined streamline based reduced-physics surrogate and response surface method for field development optimization[C]//International petroleum technology conference
  publication-title: OnePetro
– volume: 290
  year: 2021
  ident: b0025
  article-title: Wettability effects on phase behavior and interfacial tension in shale nanopores
  publication-title: Fuel
– volume: 2
  start-page: 79
  year: 2016
  end-page: 89
  ident: b0805
  article-title: On the application of artificial bee colony (ABC) algorithm for optimization of well placements in fractured reservoirs; efficiency comparison with the particle swarm optimization (PSO) methodology
  publication-title: Petroleum
– volume: 132
  start-page: 18
  year: 2015
  end-page: 27
  ident: b1115
  article-title: Pareto-based robust optimization of water-flooding using multiple realizations
  publication-title: J Pet Sci Eng
– volume: 25
  start-page: 2033
  year: 2021
  end-page: 2054
  ident: b0375
  article-title: Support-vector regression accelerated well location optimization: algorithm, validation, and field testing
  publication-title: Comput Geosci
– reference: Al-Tashi Q, Rais H M, Abdulkadir S J, et al. Feature selection based on grey wolf optimizer for oil & gas reservoir classification[C]//2020 International Conference on omputational Intelligence (ICCI). IEEE, 2020: 211-216.
– volume: 16
  start-page: 75
  year: 2012
  end-page: 92
  ident: b0775
  article-title: Well placement optimization with the covariance matrix adaptation evolution strategy and meta-models
  publication-title: Comput Geosci
– volume: 110640
  year: 2022
  ident: b0180
  article-title: A new approach in well placement optimization using metaheuristic algorithms
  publication-title: J Pet Sci Eng
– year: 2007
  ident: b1030
  article-title: Optimal well placement for production optimization[C]//Eastern regional meeting
  publication-title: OnePetro
– volume: 12
  start-page: 1
  year: 2019
  end-page: 16
  ident: b0660
  article-title: A review of proxy modeling applications in numerical reservoir simulation
  publication-title: Arab J Geosci
– volume: 26
  start-page: 739
  year: 2022
  end-page: 756
  ident: b0850
  article-title: Efficient well placement optimization under uncertainty using a virtual drilling procedure
  publication-title: Comput Geosci
– volume: 36
  start-page: 776
  year: 2010
  end-page: 785
  ident: b1345
  article-title: Optimization of well placement geothermal reservoirs using artificial intelligence
  publication-title: Comput Geosci
– volume: 39
  start-page: 502
  year: 2021
  end-page: 527
  ident: b0865
  article-title: A field development strategy for the joint optimization of flow allocations, well placements and well trajectories
  publication-title: Energy Explor Exploit
– volume: 14
  start-page: 506
  year: 2009
  end-page: 523
  ident: b0095
  article-title: Production optimization in closed-loop reservoir management
  publication-title: SPE J
– volume: 18
  start-page: 463
  year: 2014
  end-page: 482
  ident: b0825
  article-title: A derivative-free methodology with local and global search for the constrained joint optimization of well locations and controls
  publication-title: Comput Geosci
– volume: 2014
  start-page: 1
  year: 2014
  end-page: 5
  ident: b1160
  article-title: A pareto-based well placement optimization[C]//76th EAGE Conference and Exhibition 2014
  publication-title: European Association of Geoscientists & Engineers
– volume: 20
  start-page: 773
  year: 2016
  end-page: 791
  ident: b1155
  article-title: A reference vector guided evolutionary algorithm for many-objective optimization
  publication-title: IEEE Trans Evol Comput
– volume: 27
  start-page: 307
  year: 2022
  end-page: 328
  ident: b0225
  article-title: Surrogate-assisted multiobjective optimization of a hydraulically fractured well in a naturally fractured shale reservoir with geological uncertainty
  publication-title: SPE J
– volume: 2022
  start-page: 1
  year: 2022
  end-page: 12
  ident: b0350
  article-title: Application of coupled flow network and machine learning models for data-driven forecasting of reservoir souring[C]ECMOR 2022
  publication-title: European Assoc Geoscientists Eng
– start-page: 1
  year: 2022
  end-page: 20
  ident: b0090
  article-title: An integrated approach for history matching of complex fracture distributions for shale oil reservoirs based on improved adaptive particle filter
  publication-title: SPE J
– volume: 206
  year: 2021
  ident: b0195
  article-title: Optimization of WAG in real geological field using rigorous soft computing techniques and nature-inspired algorithms
  publication-title: J Pet Sci Eng
– year: 2022
  ident: b1430
  article-title: Towards a machine learning based dynamic surrogate modeling and optimization of steam injection policy in SAGD[C]//SPE Western Regional Meeting
  publication-title: OnePetro
– start-page: 187
  year: 2013
  end-page: 214
  ident: b0920
  article-title: Differential evolution[M]//Handbook of optimization
– volume: 30
  start-page: 2753
  year: 2021
  end-page: 2775
  ident: b1490
  article-title: Scenario Reduction of Realizations Using Fast Marching Method in Robust Well Placement Optimization of Injectors
  publication-title: Nat Resour Res
– volume: 13
  start-page: 391
  year: 2010
  end-page: 405
  ident: b1310
  article-title: Results of the Brugge benchmark study for flooding optimization and history matching
  publication-title: SPE Reserv Eval Eng
– year: 2020
  ident: b0285
  article-title: Numerical simulation of gas lift optimization using genetic algorithm for a Middle East oil field: feasibility study[C]International Petroleum Technology Conference
  publication-title: OnePetro
– volume: 86
  start-page: 385
  year: 2015
  end-page: 399
  ident: b0490
  article-title: Surrogate accelerated sampling of reservoir models with complex structures using sparse polynomial chaos expansion
  publication-title: Adv Water Resour
– volume: 208
  year: 2022
  ident: b0520
  article-title: Dynamic production optimization based on transfer learning algorithms
  publication-title: J Pet Sci Eng
– volume: 236
  start-page: 404
  year: 2019
  end-page: 427
  ident: b0060
  article-title: A review of the current progress of CO
  publication-title: Fuel
– volume: 217
  year: 2022
  ident: b1620
  article-title: Shale oil production prediction and fracturing optimization based on machine learning
  publication-title: J Pet Sci Eng
– volume: 10
  start-page: 613
  year: 2020
  end-page: 630
  ident: b0370
  article-title: Applying hybrid support vector regression and genetic algorithm to water alternating CO2 gas EOR
  publication-title: Greenhouse Gases Sci Technol
– volume: 109
  start-page: 70
  year: 2013
  end-page: 79
  ident: b1510
  article-title: Well placement optimization under time-dependent uncertainty using an ensemble Kalman filter and a genetic algorithm
  publication-title: J Pet Sci Eng
– volume: 52
  start-page: 367
  year: 2018
  end-page: 378
  ident: b1615
  article-title: Application of fast analytical approach and AI optimization techniques to hydraulic fracture stage placement in shale gas reservoirs
  publication-title: J Nat Gas Sci Eng
– year: 2015
  ident: b0075
  article-title: Data analytics for production optimization in unconventional reservoirs[C]SPE/AAPG/SEG Unconventional Resources Technology Conference
  publication-title: OnePetro
– volume: 2022
  start-page: 1
  year: 2022
  end-page: 19
  ident: b0475
  article-title: Gaussian process models for well placement optimisation[C]//ECMOR 2022
  publication-title: European Assoc Geoscientists Eng
– year: 2011
  ident: b0795
  article-title: Use of hybrid approaches and metaoptimization for well placement problems[D]
– year: 2011
  ident: b1005
  article-title: A new modified genetic algorithm for well placement optimization under geological uncertainties[C]//SPE EUROPEC/ EAGE annual conference and exhibition
  publication-title: OnePetro
– volume: 10
  year: 2021
  ident: b1255
  article-title: Identification of a Surrogate Model for economic performance prediction of oil reservoir production under waterflooding process. Iranian Journal of
  publication-title: Oil Gas Sci Technol
– year: 2010
  ident: b0780
  article-title: Optimization of field development using particle swarm optimization and new well pattern descriptions[M]
– volume: 14
  start-page: 393
  year: 2009
  end-page: 412
  ident: b0590
  article-title: The ensemble Kalman filter in reservoir engineering—a review
  publication-title: SPE J
– volume: 220
  year: 2023
  ident: b1325
  article-title: Optimizing initiation time of waterflooding under geological uncertainties with Value of Information: Application of simulation-regression approach
  publication-title: J Pet Sci Eng
– volume: 133
  start-page: 677
  year: 2015
  end-page: 688
  ident: b0330
  article-title: Development of an adaptive surrogate model for production optimization
  publication-title: J Pet Sci Eng
– volume: 111945
  year: 2023
  ident: b1410
  article-title: Deep reinforcement learning for optimizing well control in subsurface systems with uncertain geology
  publication-title: J Comput Phys
– volume: 20
  start-page: 281
  year: 2005
  end-page: 288
  ident: b0580
  article-title: Reservoir management employing smart wells: a review
  publication-title: SPE Drill Complet
– year: 2006
  ident: b1515
  article-title: Uncertainty analysis of a giant oil field in the middle east using surrogate reservoir model[C]//Abu Dhabi International Petroleum Exhibition and Conference
  publication-title: OnePetro
– year: 2014
  ident: b0210
  article-title: Well placement optimization under constraints using modified cuckoo search[C]SPE Saudi Arabia section technical symposium and exhibition
  publication-title: OnePetro
– volume: 4
  start-page: 406
  year: 2020
  ident: b1565
  article-title: Advances and challenges in shale oil development: A critical review
  publication-title: Advances in Geo-Energy Research
– volume: 237
  start-page: 283
  year: 2019
  end-page: 297
  ident: b1555
  article-title: A new approach to model shale gas production behavior by considering coupled multiple flow mechanisms for multiple fractured horizontal well
  publication-title: Fuel
– volume: 32
  start-page: 2061
  year: 2018
  end-page: 2078
  ident: b0740
  article-title: Multi-objective optimization of the reservoir system operation by using the hedging policy
  publication-title: Water Resour Manag
– volume: 143
  year: 2021
  ident: b0845
  article-title: A novel streamline-based objective function for well placement optimization in waterfloods
  publication-title: J Energy Res Technol
– volume: 4
  start-page: 1942
  year: 1995
  end-page: 1948
  ident: b0785
  article-title: Particle swarm optimization[C]//Proceedings of ICNN'95-international conference on neural networks
  publication-title: IEEE
– volume: 173
  start-page: 37
  year: 2019
  end-page: 52
  ident: b0910
  article-title: Self-adapt reservoir clusterization method to enhance robustness of well placement optimization
  publication-title: J Pet Sci Eng
– volume: 26
  start-page: 483
  year: 2015
  end-page: 496
  ident: b0360
  article-title: Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines
  publication-title: Appl Soft Comput
– volume: 23
  start-page: 1065
  year: 2019
  end-page: 1085
  ident: b0215
  article-title: The development of a novel multi-objective optimization framework for non-vertical well placement based on a modified non-dominated sorting genetic algorithm-II
  publication-title: Comput Geosci
– volume: 15
  start-page: 1
  year: 2022
  end-page: 15
  ident: b0205
  article-title: A rapid intelligent multi-fidelity surrogate-assisted multi-objective optimization method for water-flooding reservoir production optimization
  publication-title: Arab J Geosci
– volume: 30
  start-page: 2431
  year: 2021
  end-page: 2462
  ident: b0550
  article-title: Smart proxy modeling of a fractured reservoir model for production optimization: implementation of metaheuristic algorithm and probabilistic application
  publication-title: Nat Resour Res
– volume: 208
  year: 2022
  ident: b0245
  article-title: Accelerating reservoir production optimization by combining reservoir engineering method with particle swarm optimization algorithm
  publication-title: J Pet Sci Eng
– start-page: 1
  year: 2022
  end-page: 20
  ident: b0870
  article-title: Bilevel Optimization of Well Placement and Control Settings Assisted by Capacitance-Resistance Models
  publication-title: SPE J
– volume: 123
  start-page: 46
  year: 2014
  end-page: 61
  ident: b1360
  article-title: Assisted history matching using artificial neural network based global optimization method–Applications to Brugge field and a fractured Iranian reservoir
  publication-title: J Pet Sci Eng
– volume: 6
  start-page: 40
  year: 2014
  end-page: 54
  ident: b0690
  article-title: Consideration of voidage-replacement ratio in well-placement optimization
  publication-title: SPE Econ. Manage.
– volume: 169
  year: 2023
  ident: b1600
  article-title: Data-driven model predictive control for closed-loop refracturing design and optimization in naturally fractured shale gas reservoir under geological uncertainty
  publication-title: Comput Chem Eng
– volume: 17
  start-page: 249
  year: 2013
  end-page: 268
  ident: b0800
  article-title: Hybrid differential evolution and particle swarm optimization for optimal well placement
  publication-title: Comput Geosci
– volume: 9
  start-page: 1
  year: 2015
  end-page: 17
  ident: b0190
  article-title: Efficient optimization framework for integrated placement of horizontal wells and hydraulic fracture stages in unconventional gas reservoirs
  publication-title: Journal of Unconventional Oil and Gas Resources
– volume: 149
  start-page: 383
  year: 2017
  end-page: 392
  ident: b1020
  article-title: An efficient geometry-based optimization approach for well placement in oil fields
  publication-title: J Pet Sci Eng
– year: 2022
  ident: b1275
  article-title: Parameter Optimization Study of Gas Hydrate Reservoir Development Based on a Surrogate Model Assisted Particle Swarm Algorithm
  publication-title: Geofluids
– start-page: 1
  year: 2022
  end-page: 21
  ident: b0515
  article-title: Active learning for well control optimization with surrogate models
  publication-title: SPE J
– volume: 7
  start-page: 251
  year: 2017
  end-page: 263
  ident: b0100
  article-title: Hybrid intelligent systems in petroleum reservoir characterization and modeling: the journey so far and the challenges ahead
  publication-title: J Pet Explor Prod Technol
– volume: 220
  year: 2021
  ident: b0085
  article-title: Conditioning of deep-learning surrogate models to image data with application to reservoir characterization
  publication-title: Knowl-Based Syst
– volume: 4
  start-page: 85
  year: 2019
  ident: b1375
  article-title: Smart Proxy Modeling of SACROC CO
  publication-title: Fluids
– volume: 24
  start-page: 2027
  year: 2020
  end-page: 2042
  ident: b0685
  article-title: OLYMPUS optimization under geological uncertainty
  publication-title: Comput Geosci
– volume: 1
  start-page: 33
  year: 2007
  end-page: 57
  ident: b0790
  article-title: Particle swarm optimization
  publication-title: Swarm Intell
– year: 2015
  ident: b1180
  article-title: Physics-based and data-driven surrogates for production forecasting[C]//SPE
  publication-title: Reservoir Simulation Symposium OnePetro
– volume: 23
  start-page: 2409
  year: 2018
  end-page: 2427
  ident: b0015
  article-title: Robust life-cycle production optimization with a support-vector-regression proxy
  publication-title: SPE J
– volume: 19
  start-page: 149
  year: 2008
  end-page: 190
  ident: b1290
  article-title: Polynomial chaos for the approximation of uncertainties: chances and limits
  publication-title: Eur J Appl Math
– volume: 52
  start-page: 35
  year: 2018
  end-page: 47
  ident: b1090
  article-title: Integrated well placement and completion optimization using heuristic algorithms: a case study of an Iranian carbonate formation
  publication-title: J Chem Petrol Eng
– year: 1992
  ident: b1280
  article-title: Stochastic Finite Elements: A Spectral Approach[M]
– volume: 15
  start-page: 5247
  year: 2022
  ident: b0345
  article-title: A review of proxy modeling highlighting applications for reservoir engineering
  publication-title: Energies
– year: 2006
  ident: b0325
  article-title: Proxy modeling in production optimization[C]//SPE Europec/EAGE Annual Conference and Exhibition
  publication-title: OnePetro
– volume: 69
  start-page: 46
  year: 2014
  end-page: 61
  ident: b1045
  article-title: Grey wolf optimizer
  publication-title: Adv Eng Softw
– start-page: 445
  year: 2020
  end-page: 454
  ident: b0280
  article-title: Optimal reservoir optimization using multiobjective genetic algorithm[C]International Conference on Swarm Intelligence
– volume: 19
  start-page: 727
  year: 2015
  end-page: 746
  ident: b0670
  article-title: Jointly updating the mean size and spatial distribution of facies in reservoir history matching
  publication-title: Comput Geosci
– volume: 121
  start-page: 327
  year: 2019
  end-page: 337
  ident: b0715
  article-title: Well placement optimization using direct mapping of productivity potential and threshold value of productivity potential management strategy
  publication-title: Comput Chem Eng
– volume: 147
  start-page: 237
  year: 2016
  end-page: 248
  ident: b1100
  article-title: Well placement optimization using imperialist competitive algorithm
  publication-title: J Pet Sci Eng
– year: 2003
  ident: b0990
  article-title: Well placement optimization in field development[C]//SPE Annual Technical Conference and Exhibition
  publication-title: OnePetro
– volume: 114
  start-page: 99
  year: 2018
  end-page: 110
  ident: b1245
  article-title: Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations
  publication-title: Comput Chem Eng
– volume: 205
  year: 2021
  ident: b0265
  article-title: Reservoir production optimization based on surrogate model and differential evolution algorithm
  publication-title: J Pet Sci Eng
– volume: 25
  start-page: 35
  year: 2021
  end-page: 65
  ident: b1205
  article-title: Field development optimization using a sequence of surrogate treatments
  publication-title: Comput Geosci
– volume: 117
  start-page: 291
  year: 2018
  end-page: 308
  ident: b1605
  article-title: Optimization of multistage fractured horizontal well in tight oil based on embedded discrete fracture model
  publication-title: Comput Chem Eng
– volume: 47
  start-page: 15
  year: 2005
  end-page: 22
  ident: b0160
  article-title: Genetic algorithms in oil industry: An overview
  publication-title: J Pet Sci Eng
– year: 2015
  ident: b0700
  article-title: Multi-objective well placement optimization considering energy sustainability along with economical gains[C]//SPE North Africa Technical Conference and Exhibition
  publication-title: OnePetro
– volume: 24
  start-page: 174
  year: 2021
  end-page: 193
  ident: b0855
  article-title: Well placement and control optimization of horizontal steamflooding wells using derivative-free algorithms
  publication-title: SPE Reserv Eval Eng
– year: 2021
  ident: b1055
  article-title: A compositional function hybridization of PSO and GWO for solving well placement optimisation problem
  publication-title: Petrol Res
– year: 2013
  ident: b1170
  article-title: A black-box stencil interpolation method to accelerate reservoir simulations[C]//SPE
  publication-title: Reservoir Simulation Symposium OnePetro
– volume: 9
  start-page: 711
  year: 2016
  ident: b1500
  article-title: Chemical flooding in heavy-oil reservoirs: From technical investigation to optimization using response surface methodology
  publication-title: Energies
– volume: 34
  start-page: 699
  year: 2019
  end-page: 707
  ident: b0365
  article-title: Reservoir rock permeability prediction using SVR based on radial basis function kernel
  publication-title: Carbonates Evaporites
– volume: 15
  start-page: 6372
  year: 2022
  ident: b0680
  article-title: Joint history matching of multiple types of field data in a 3d field-scale case study
  publication-title: Energies
– start-page: 1
  year: 2023
  end-page: 13
  ident: b1415
  article-title: Practical Closed-Loop Reservoir Management Using Deep Reinforcement Learning
  publication-title: SPE J
– year: 2014
  ident: b0695
  article-title: Optimization of well placement to minimize the risk of scale deposition in field development[C]//Abu Dhabi international petroleum exhibition and conference
  publication-title: OnePetro
– volume: 326
  year: 2022
  ident: b0950
  article-title: Data-driven evolutionary algorithm for oil reservoir well-placement and control optimization
  publication-title: Fuel
– volume: 16
  year: 2022
  ident: b1065
  article-title: Adaptive proxy-based robust production optimization with multilayer perceptron
  publication-title: Appl Comput Geosci
– volume: 26
  start-page: 571
  year: 2022
  end-page: 594
  ident: b0675
  article-title: Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother
  publication-title: Comput Geosci
– volume: 2022
  year: 2022
  ident: b0355
  article-title: Surrogate-reformulation-assisted multitasking knowledge transfer for production optimization
  publication-title: J Pet Sci Eng
– volume: 279
  year: 2020
  ident: b1150
  article-title: Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework
  publication-title: Appl Energy
– year: 1996
  ident: b0575
  article-title: East vacuum grayburg san andres unit co2 flood ten year performance review: evolution of a reservoir management strategy and results of wag optimization[c]//spe annual technical conference and exhibition
  publication-title: OnePetro
– year: 2015
  ident: b0125
  article-title: Configurable intelligent optimization algorithm[M]
– volume: 26
  start-page: 1614
  year: 2021
  end-page: 1635
  ident: b0505
  article-title: Multifidelity genetic transfer: an efficient framework for production optimization
  publication-title: SPE J
– volume: 167
  year: 2021
  ident: b1425
  article-title: Optimizing reservoir operations for tradeoffs between economic objectives and legacy phosphorus management
  publication-title: Resour Conserv Recycl
– start-page: 1
  year: 2021
  end-page: 13
  ident: b0880
  article-title: Optimal motion sensor placement in smart homes and intelligent environments using a hybrid WOA-PSO algorithm
  publication-title: J Reliable Intelligent Environ
– volume: 18
  start-page: 747
  year: 2014
  end-page: 762
  ident: b0895
  article-title: Optimization of well placement by combination of a modified particle swarm optimization algorithm and quality map method
  publication-title: Comput Geosci
– volume: 27
  start-page: 179
  year: 2023
  end-page: 202
  ident: b1385
  article-title: Convolutional–recurrent neural network proxy for robust optimization and closed-loop reservoir management
  publication-title: Comput Geosci
– volume: 116
  year: 2022
  ident: b0460
  article-title: A radial basis function surrogate model assisted evolutionary algorithm for high-dimensional expensive optimization problems
  publication-title: Appl Soft Comput
– year: 2017
  ident: b1505
  article-title: Breaking the barrier of flow simulation: well placement design optimization with fast marching method and geometric pressure approximation[C]//SPE/IATMI
  publication-title: Asia Pacific Oil & Gas Conference and Exhibition OnePetro
– volume: 12
  start-page: 2897
  year: 2019
  ident: b0110
  article-title: Artificial intelligence applications in reservoir engineering: a status check
  publication-title: Energies
– volume: 25
  start-page: 105
  year: 2020
  end-page: 118
  ident: b0150
  article-title: Global and local surrogate-model-assisted differential evolution for waterflooding production optimization
  publication-title: SPE J
– volume: 152
  start-page: 586
  year: 2017
  end-page: 601
  ident: b0605
  article-title: A review on conceptual and practical oil and gas reservoir monitoring methods
  publication-title: J Pet Sci Eng
– year: 2020
  ident: b1320
  article-title: Production Optimization of the CO2 Huff-n-Puff Process in an Unconventional Reservoir Using a Machine Learning Based Proxy[C]//SPE Improved Oil Recovery Conference
  publication-title: OnePetro
– volume: 18
  start-page: 907
  year: 2017
  end-page: 941
  ident: b0625
  article-title: Optimization methods for petroleum fields development and production systems: a review
  publication-title: Optim Eng
– volume: 32
  start-page: 149
  year: 2016
  end-page: 180
  ident: b0940
  article-title: The use of differential evolution algorithm for solving chemical engineering problems
  publication-title: Rev Chem Eng
– volume: 10
  start-page: 629
  year: 2010
  end-page: 640
  ident: b0935
  article-title: Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization
  publication-title: Appl Soft Comput
– volume: 166
  start-page: 924
  year: 2018
  end-page: 947
  ident: b0815
  article-title: Application of hybrid adaptive neuro-fuzzy inference system in well placement optimization
  publication-title: J Pet Sci Eng
– year: 2012
  ident: b1195
  article-title: Optimization of steam/solvent injection methods: application of hybrid techniques with improved algorithm configuration[D]
– year: 2020
  ident: b0495
  article-title: Application of polynomial chaos expansion to optimize injection-production parameters under uncertainty
  publication-title: Math Probl Eng
– volume: 9
  year: 2022
  ident: b0240
  article-title: Well control optimization in waterflooding using genetic algorithm coupled with Artificial Neural Networks
  publication-title: Upstream Oil Gas Technol.
– volume: 25
  start-page: 1603
  year: 2014
  end-page: 1609
  ident: b1025
  article-title: Application of genetic algorithm for well placement optimization in Sulige gasfield
  publication-title: Nat Gas Geosci
– volume: 47
  start-page: 11069
  year: 2022
  end-page: 11087
  ident: b1130
  article-title: Multi-objective optimization of Brugge field for short-term and long-term waterflood management
  publication-title: Arab J Sci Eng
– volume: 46
  start-page: 40
  year: 2011
  end-page: 51
  ident: b0635
  article-title: Adjoint-based optimization of multi-phase flow through porous media–a review
  publication-title: Comput Fluids
– volume: 15
  start-page: 4
  year: 2010
  end-page: 31
  ident: b0925
  article-title: Differential evolution: A survey of the state-of-the-art
  publication-title: IEEE Trans Evol Comput
– year: 2019
  ident: b1250
  article-title: Optimization of oil field development using a surrogate model: case of miscible gas injection[C]//SPE
  publication-title: Reservoir Characterisation and Simulation Conference and Exhibition OnePetro
– volume: 95
  year: 2021
  ident: b0260
  article-title: Complex fracture network simulation and optimization in naturally fractured shale reservoir based on modified neural network algorithm
  publication-title: J Nat Gas Sci Eng
– year: 2001
  ident: b0155
  article-title: The use of genetic algorithms in well placement optimization[C]SPE Latin American and Caribbean petroleum engineering conference
  publication-title: OnePetro
– volume: 22
  start-page: 382
  year: 2007
  end-page: 391
  ident: b0585
  article-title: Real-time production optimization of oil and gas production systems: a technology survey
  publication-title: SPE Prod Oper
– year: 2007
  ident: 10.1016/j.fuel.2023.128826_b1340
  article-title: RNN-based inflow forecasting applied to reservoir operation via implicit stochastic optimization[C]
– volume: 30
  start-page: 1091
  issue: 11
  year: 2012
  ident: 10.1016/j.fuel.2023.128826_b0305
  article-title: Surrogate-based optimization of horizontal well placement in a mature oil reservoir
  publication-title: Pet Sci Technol
  doi: 10.1080/10916466.2010.519751
– volume: 133
  start-page: 677
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0330
  article-title: Development of an adaptive surrogate model for production optimization
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2015.07.012
– year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0700
  article-title: Multi-objective well placement optimization considering energy sustainability along with economical gains[C]//SPE North Africa Technical Conference and Exhibition
  publication-title: OnePetro
– volume: 9
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0240
  article-title: Well control optimization in waterflooding using genetic algorithm coupled with Artificial Neural Networks
  publication-title: Upstream Oil Gas Technol.
  doi: 10.1016/j.upstre.2022.100071
– volume: 90
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0945
  article-title: Differential Evolution: A review of more than two decades of research
  publication-title: Eng Appl Artif Intel
– volume: 2015
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b1445
  article-title: Developing a robust surrogate model of chemical flooding based on the artificial neural network for enhanced oil recovery implications
  publication-title: Math Probl Eng
  doi: 10.1155/2015/706897
– volume: 1
  start-page: 1301
  issue: 1
  year: 2010
  ident: 10.1016/j.fuel.2023.128826_b1000
  article-title: Application of derivative-free methodologies to generally constrained oil production optimization problems
  publication-title: Procedia Comput Sci
  doi: 10.1016/j.procs.2010.04.145
– volume: 24
  start-page: 174
  issue: 01
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0855
  article-title: Well placement and control optimization of horizontal steamflooding wells using derivative-free algorithms
  publication-title: SPE Reserv Eval Eng
  doi: 10.2118/203821-PA
– volume: 45
  start-page: 7
  issue: 8
  year: 2012
  ident: 10.1016/j.fuel.2023.128826_b0065
  article-title: Real-time production optimization and reservoir management at the IO center
  publication-title: IFAC Proceedings Volumes
  doi: 10.3182/20120531-2-NO-4020.00048
– volume: 237
  start-page: 283
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b1555
  article-title: A new approach to model shale gas production behavior by considering coupled multiple flow mechanisms for multiple fractured horizontal well
  publication-title: Fuel
  doi: 10.1016/j.fuel.2018.09.101
– volume: 32
  start-page: 149
  issue: 2
  year: 2016
  ident: 10.1016/j.fuel.2023.128826_b0940
  article-title: The use of differential evolution algorithm for solving chemical engineering problems
  publication-title: Rev Chem Eng
  doi: 10.1515/revce-2015-0042
– start-page: 445
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0280
– volume: 196
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b1485
  article-title: Novel hybrid fast marching method-based simulation workflow for rapid history matching and completion design optimization of hydraulically fractured shale wells
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2020.107718
– volume: 169
  year: 2023
  ident: 10.1016/j.fuel.2023.128826_b1600
  article-title: Data-driven model predictive control for closed-loop refracturing design and optimization in naturally fractured shale gas reservoir under geological uncertainty
  publication-title: Comput Chem Eng
  doi: 10.1016/j.compchemeng.2022.108096
– volume: 542
  start-page: 228
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0455
  article-title: Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization
  publication-title: Inf Sci
  doi: 10.1016/j.ins.2020.06.045
– volume: 26
  start-page: 571
  issue: 3
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0675
  article-title: Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother
  publication-title: Comput Geosci
  doi: 10.1007/s10596-022-10137-7
– volume: 18
  start-page: 463
  issue: 3
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b0825
  article-title: A derivative-free methodology with local and global search for the constrained joint optimization of well locations and controls
  publication-title: Comput Geosci
  doi: 10.1007/s10596-013-9383-x
– volume: 27
  start-page: 226
  issue: 01
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1390
  article-title: Deep reinforcement learning for generalizable field development optimization
  publication-title: SPE J
  doi: 10.2118/203951-PA
– volume: 36
  start-page: 1175
  issue: 11
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b1455
  article-title: The development of techniques for the optimization of water-flooding processes in petroleum reservoirs using a genetic algorithm and surrogate modeling approach
  publication-title: Energy Sources Part A
  doi: 10.1080/15567036.2010.538803
– volume: 16
  start-page: 75
  issue: 1
  year: 2012
  ident: 10.1016/j.fuel.2023.128826_b0775
  article-title: Well placement optimization with the covariance matrix adaptation evolution strategy and meta-models
  publication-title: Comput Geosci
  doi: 10.1007/s10596-011-9254-2
– volume: 15
  start-page: 426
  issue: 02
  year: 2010
  ident: 10.1016/j.fuel.2023.128826_b1525
  article-title: Use of reduced-order modeling procedures for production optimization
  publication-title: SPE J
  doi: 10.2118/119057-PA
– volume: 46
  start-page: 40
  issue: 1
  year: 2011
  ident: 10.1016/j.fuel.2023.128826_b0635
  article-title: Adjoint-based optimization of multi-phase flow through porous media–a review
  publication-title: Comput Fluids
  doi: 10.1016/j.compfluid.2010.09.039
– start-page: 232
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0390
– volume: 24
  start-page: 2027
  issue: 6
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0685
  article-title: OLYMPUS optimization under geological uncertainty
  publication-title: Comput Geosci
  doi: 10.1007/s10596-019-09892-x
– volume: 16
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1065
  article-title: Adaptive proxy-based robust production optimization with multilayer perceptron
  publication-title: Appl Comput Geosci
  doi: 10.1016/j.acags.2022.100103
– volume: 138
  start-page: 138
  year: 2016
  ident: 10.1016/j.fuel.2023.128826_b0010
  article-title: Determining the levels and parameters of thief zone based on automatic history matching and fuzzy method
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2015.09.010
– year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1505
  article-title: Breaking the barrier of flow simulation: well placement design optimization with fast marching method and geometric pressure approximation[C]//SPE/IATMI
  publication-title: Asia Pacific Oil & Gas Conference and Exhibition OnePetro
– volume: 52
  start-page: 3121
  issue: 9
  year: 2013
  ident: 10.1016/j.fuel.2023.128826_b1295
  article-title: Uncertainty quantification in CO2 sequestration using surrogate models from polynomial chaos expansion
  publication-title: Ind Eng Chem Res
  doi: 10.1021/ie300856p
– year: 2012
  ident: 10.1016/j.fuel.2023.128826_b1550
  article-title: Optimizing well placement with quality maps derived from multi-fidelity meta-models[C]//SPE
  publication-title: Europec/EAGE Annual Conference OnePetro
– volume: 214
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1560
  article-title: Hydraulic fracturing design for shale oils based on sweet spot mapping: A case study of the Jimusar formation in China
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2022.110568
– volume: 220
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0085
  article-title: Conditioning of deep-learning surrogate models to image data with application to reservoir characterization
  publication-title: Knowl-Based Syst
  doi: 10.1016/j.knosys.2021.106956
– volume: 155
  start-page: 126
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0045
  article-title: Water adsorption and its impact on the pore structure characteristics of shale clay
  publication-title: Appl Clay Sci
  doi: 10.1016/j.clay.2018.01.017
– volume: 10
  start-page: 613
  issue: 3
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0370
  article-title: Applying hybrid support vector regression and genetic algorithm to water alternating CO2 gas EOR
  publication-title: Greenhouse Gases Sci Technol
  doi: 10.1002/ghg.1982
– volume: 20
  start-page: 281
  issue: 04
  year: 2005
  ident: 10.1016/j.fuel.2023.128826_b0580
  article-title: Reservoir management employing smart wells: a review
  publication-title: SPE Drill Complet
  doi: 10.2118/81107-PA
– volume: 30
  start-page: 4825
  issue: 6
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0040
  article-title: A novel surrogate-assisted multi-objective optimization method for well control parameters based on tri-training
  publication-title: Nat Resour Res
  doi: 10.1007/s11053-021-09948-9
– volume: 23
  start-page: 1065
  issue: 5
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0215
  article-title: The development of a novel multi-objective optimization framework for non-vertical well placement based on a modified non-dominated sorting genetic algorithm-II
  publication-title: Comput Geosci
  doi: 10.1007/s10596-019-09863-2
– volume: 290
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0025
  article-title: Wettability effects on phase behavior and interfacial tension in shale nanopores
  publication-title: Fuel
  doi: 10.1016/j.fuel.2020.119983
– volume: 12
  start-page: 1859
  issue: 10
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0630
  article-title: Efficient assessment of reservoir uncertainty using distance-based clustering: a review
  publication-title: Energies
  doi: 10.3390/en12101859
– volume: 208
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0425
  article-title: Surrogate-assisted inversion for large-scale history matching: comparative study between projection-based reduced-order modeling and deep neural network
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2021.109287
– volume: 51
  start-page: 79
  issue: 1
  year: 2011
  ident: 10.1016/j.fuel.2023.128826_b1230
  article-title: Mixture surrogate models based on Dempster-Shafer theory for global optimization problems
  publication-title: J Glob Optim
  doi: 10.1007/s10898-010-9620-y
– volume: 2022
  issue: 216
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0510
  article-title: A hybrid surrogate-assisted integrated optimization of horizontal well spacing and hydraulic fracture stage placement in naturally fractured shale gas reservoir
  publication-title: J Pet Sci Eng
– volume: 35
  start-page: 83
  issue: 1–2
  year: 2002
  ident: 10.1016/j.fuel.2023.128826_b0320
  article-title: Surrogate modeling-based optimization of SAGD processes
  publication-title: J Pet Sci Eng
– volume: 10
  start-page: 988
  issue: 5
  year: 1999
  ident: 10.1016/j.fuel.2023.128826_b1305
  article-title: An overview of statistical learning theory
  publication-title: IEEE Trans Neural Netw
  doi: 10.1109/72.788640
– year: 2014
  ident: 10.1016/j.fuel.2023.128826_b1200
– start-page: 187
  year: 2013
  ident: 10.1016/j.fuel.2023.128826_b0920
– volume: 52
  start-page: 367
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1615
  article-title: Application of fast analytical approach and AI optimization techniques to hydraulic fracture stage placement in shale gas reservoirs
  publication-title: J Nat Gas Sci Eng
  doi: 10.1016/j.jngse.2018.01.047
– volume: 2020
  issue: 194
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0745
  article-title: Surrogate-assisted differential evolution for production optimization with nonlinear state constraints
  publication-title: J Pet Sci Eng
– volume: 9
  start-page: 711
  issue: 9
  year: 2016
  ident: 10.1016/j.fuel.2023.128826_b1500
  article-title: Chemical flooding in heavy-oil reservoirs: From technical investigation to optimization using response surface methodology
  publication-title: Energies
  doi: 10.3390/en9090711
– year: 2017
  ident: 10.1016/j.fuel.2023.128826_b0170
  article-title: Well placement optimisation in gas-condensate reservoirs using genetic algorithms[C]SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition
  publication-title: OnePetro
– volume: 279
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b1150
  article-title: Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework
  publication-title: Appl Energy
  doi: 10.1016/j.apenergy.2020.115695
– volume: 208
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1220
  article-title: Training effective deep reinforcement learning agents for real-time life-cycle production optimization
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2021.109766
– start-page: 1
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0870
  article-title: Bilevel Optimization of Well Placement and Control Settings Assisted by Capacitance-Resistance Models
  publication-title: SPE J
  doi: 10.2118/210562-PA
– volume: 167
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b1425
  article-title: Optimizing reservoir operations for tradeoffs between economic objectives and legacy phosphorus management
  publication-title: Resour Conserv Recycl
  doi: 10.1016/j.resconrec.2021.105413
– year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0285
  article-title: Numerical simulation of gas lift optimization using genetic algorithm for a Middle East oil field: feasibility study[C]International Petroleum Technology Conference
  publication-title: OnePetro
– start-page: 1
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0880
  article-title: Optimal motion sensor placement in smart homes and intelligent environments using a hybrid WOA-PSO algorithm
  publication-title: J Reliable Intelligent Environ
– volume: 95
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0135
  article-title: Efficient well placement optimization coupling hybrid objective function with particle swarm optimization algorithm
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2020.106511
– volume: 30
  start-page: 2431
  issue: 3
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0550
  article-title: Smart proxy modeling of a fractured reservoir model for production optimization: implementation of metaheuristic algorithm and probabilistic application
  publication-title: Nat Resour Res
  doi: 10.1007/s11053-021-09844-2
– volume: 26
  start-page: 739
  issue: 4
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0850
  article-title: Efficient well placement optimization under uncertainty using a virtual drilling procedure
  publication-title: Comput Geosci
  doi: 10.1007/s10596-021-10097-4
– volume: 13
  start-page: 1664
  issue: 4
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b1080
  article-title: Intelligent drilling of oil and gas wells using response surface methodology and artificial bee colony[J]
  publication-title: Sustainability
  doi: 10.3390/su13041664
– year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0820
  article-title: Well Control Optimization of Offshore Horizontal Steam Flooding Wells Using Artificial Intelligence Algorithm[C]//Offshore Technology Conference Asia
  publication-title: OnePetro
– volume: 18
  start-page: 747
  issue: 5
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b0895
  article-title: Optimization of well placement by combination of a modified particle swarm optimization algorithm and quality map method
  publication-title: Comput Geosci
  doi: 10.1007/s10596-014-9422-2
– volume: 1
  start-page: 33
  issue: 1
  year: 2007
  ident: 10.1016/j.fuel.2023.128826_b0790
  article-title: Particle swarm optimization
  publication-title: Swarm Intell
  doi: 10.1007/s11721-007-0002-0
– volume: 20
  start-page: 261
  issue: 1
  year: 2023
  ident: 10.1016/j.fuel.2023.128826_b1400
  article-title: Evolutionary-assisted reinforcement learning for reservoir real-time production optimization under uncertainty
  publication-title: Pet Sci
  doi: 10.1016/j.petsci.2022.08.016
– volume: 34
  start-page: 454
  issue: 5
  year: 2016
  ident: 10.1016/j.fuel.2023.128826_b0445
  article-title: Implementing radial basis function neural networks for prediction of saturation pressure of crude oils
  publication-title: Pet Sci Technol
  doi: 10.1080/10916466.2016.1141217
– volume: 4
  start-page: 5
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0450
  article-title: Modeling performance of foam-co2 reservoir flooding with hybrid machine-learning models combining a radial basis function and evolutionary algorithms
  publication-title: Methods
– year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1430
  article-title: Towards a machine learning based dynamic surrogate modeling and optimization of steam injection policy in SAGD[C]//SPE Western Regional Meeting
  publication-title: OnePetro
– volume: 34
  start-page: 463
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b1265
  article-title: Particle swarm algorithm with adaptive constraint handling and integrated surrogate model for the management of petroleum fields
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2015.05.032
– volume: 15
  start-page: 185
  issue: 1
  year: 2011
  ident: 10.1016/j.fuel.2023.128826_b0595
  article-title: Recent progress on reservoir history matching: a review
  publication-title: Comput Geosci
  doi: 10.1007/s10596-010-9194-2
– year: 2020
  ident: 10.1016/j.fuel.2023.128826_b1185
  article-title: Application of combined streamline based reduced-physics surrogate and response surface method for field development optimization[C]//International petroleum technology conference
  publication-title: OnePetro
– volume: 14
  start-page: 506
  issue: 03
  year: 2009
  ident: 10.1016/j.fuel.2023.128826_b0095
  article-title: Production optimization in closed-loop reservoir management
  publication-title: SPE J
  doi: 10.2118/109805-PA
– year: 2019
  ident: 10.1016/j.fuel.2023.128826_b1250
  article-title: Optimization of oil field development using a surrogate model: case of miscible gas injection[C]//SPE
  publication-title: Reservoir Characterisation and Simulation Conference and Exhibition OnePetro
– volume: 12
  start-page: 114
  issue: 1
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0640
  article-title: A review of closed-loop reservoir management
  publication-title: Pet Sci
  doi: 10.1007/s12182-014-0005-6
– ident: 10.1016/j.fuel.2023.128826_b0035
  doi: 10.1016/j.petrol.2020.107694
– volume: 112
  start-page: 206
  year: 2013
  ident: 10.1016/j.fuel.2023.128826_b0465
  article-title: Surrogate based optimal waterflooding management
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2013.11.006
– volume: 21
  start-page: 204
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0655
  article-title: A review of approaches to uncertainty assessment in energy system optimization models
  publication-title: Energ Strat Rev
  doi: 10.1016/j.esr.2018.06.003
– volume: 91
  start-page: 19
  year: 2016
  ident: 10.1016/j.fuel.2023.128826_b0440
  article-title: Performance comparison of several response surface surrogate models and ensemble methods for water injection optimization under uncertainty
  publication-title: Comput Geosci
  doi: 10.1016/j.cageo.2016.02.022
– volume: 32
  start-page: 2061
  issue: 6
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0740
  article-title: Multi-objective optimization of the reservoir system operation by using the hedging policy
  publication-title: Water Resour Manag
  doi: 10.1007/s11269-018-1917-5
– volume: 26
  start-page: 1032
  issue: 02
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0145
  article-title: Optimization of fracturing parameters by modified variable-length particle-swarm optimization in shale-gas reservoir
  publication-title: SPE J
  doi: 10.2118/205023-PA
– volume: 20
  start-page: 773
  issue: 5
  year: 2016
  ident: 10.1016/j.fuel.2023.128826_b1155
  article-title: A reference vector guided evolutionary algorithm for many-objective optimization
  publication-title: IEEE Trans Evol Comput
  doi: 10.1109/TEVC.2016.2519378
– year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0495
  article-title: Application of polynomial chaos expansion to optimize injection-production parameters under uncertainty
  publication-title: Math Probl Eng
– volume: 236
  start-page: 404
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0060
  article-title: A review of the current progress of CO2 injection EOR and carbon storage in shale oil reservoirs
  publication-title: Fuel
  doi: 10.1016/j.fuel.2018.08.103
– volume: 7
  start-page: 251
  issue: 1
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b0100
  article-title: Hybrid intelligent systems in petroleum reservoir characterization and modeling: the journey so far and the challenges ahead
  publication-title: J Pet Explor Prod Technol
  doi: 10.1007/s13202-016-0257-3
– year: 2006
  ident: 10.1016/j.fuel.2023.128826_b0325
  article-title: Proxy modeling in production optimization[C]//SPE Europec/EAGE Annual Conference and Exhibition
  publication-title: OnePetro
– year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1225
  article-title: Machine learning-based optimization of well locations and WAG parameters under geologic uncertainty[C]//SPE improved oil recovery conference
  publication-title: OnePetro
– volume: 99
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0535
  article-title: Data-driven multi-objective optimization design method for shale gas fracturing parameters
  publication-title: J Nat Gas Sci Eng
  doi: 10.1016/j.jngse.2022.104420
– volume: 76
  start-page: 1905
  issue: 8
  year: 1971
  ident: 10.1016/j.fuel.2023.128826_b1330
  article-title: Multiquadric equations of topography and other irregular surfaces
  publication-title: J Geophys Res
  doi: 10.1029/JB076i008p01905
– volume: 30
  start-page: 987
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b0295
  article-title: Numerical simulation of geothermal reservoirs for the sustainable design of energy plants: a review
  publication-title: Renew Sustain Energy Rev
  doi: 10.1016/j.rser.2013.11.041
– volume: 2022
  issue: 211
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0235
  article-title: A novel self-adaptive multi-fidelity surrogate-assisted multi-objective evolutionary algorithm for simulation-based production optimization
  publication-title: J Pet Sci Eng
– year: 2011
  ident: 10.1016/j.fuel.2023.128826_b1005
  article-title: A new modified genetic algorithm for well placement optimization under geological uncertainties[C]//SPE EUROPEC/ EAGE annual conference and exhibition
  publication-title: OnePetro
– year: 2015
  ident: 10.1016/j.fuel.2023.128826_b1450
  article-title: A self-adaptive surrogate-assisted evolutionary algorithm for well placement optimization problems[C]//SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition
  publication-title: OnePetro
– volume: 47
  start-page: 197
  issue: 3–4
  year: 2005
  ident: 10.1016/j.fuel.2023.128826_b1190
  article-title: An optimization methodology of alkaline–surfactant–polymer flooding processes using field scale numerical simulation and multiple surrogates
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2005.03.002
– ident: 10.1016/j.fuel.2023.128826_b1405
  doi: 10.1016/j.jcp.2023.111945
– volume: 208
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0245
  article-title: Accelerating reservoir production optimization by combining reservoir engineering method with particle swarm optimization algorithm
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2021.109692
– volume: 165
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1240
  article-title: Optimal producer well placement and multiperiod production scheduling using surrogate modeling
  publication-title: Comput Chem Eng
  doi: 10.1016/j.compchemeng.2022.107941
– volume: 114
  start-page: 99
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1245
  article-title: Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations
  publication-title: Comput Chem Eng
  doi: 10.1016/j.compchemeng.2018.01.005
– volume: 34
  start-page: 4545
  issue: 15
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0200
  article-title: Hybrid algorithm of particle swarm optimization and grey wolf optimizer for reservoir operation management
  publication-title: Water Resour Manag
  doi: 10.1007/s11269-020-02656-8
– volume: 11
  start-page: 1144
  issue: 1
  year: 2011
  ident: 10.1016/j.fuel.2023.128826_b1350
  article-title: Optimizing reservoir features in oil exploration management based on fusion of soft computing
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2010.02.014
– volume: 157
  start-page: 1067
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1095
  article-title: Well placement optimization using an analytical formula-based objective function and cat swarm optimization algorithm
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2017.08.024
– volume: 26
  start-page: 828
  issue: 02
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0055
  article-title: Pore-scale perspective of gas/water two-phase flow in shale
  publication-title: SPE J
  doi: 10.2118/205019-PA
– volume: 95
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0260
  article-title: Complex fracture network simulation and optimization in naturally fractured shale reservoir based on modified neural network algorithm
  publication-title: J Nat Gas Sci Eng
  doi: 10.1016/j.jngse.2021.104232
– volume: 195
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0400
  article-title: Artificial-neural-network (ANN) based proxy model for performances forecast and inverse project design of water huff-n-puff technology
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2020.107851
– volume: 26
  start-page: 329
  issue: 2
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0955
  article-title: Derivative-free trust region optimization for robust well control under geological uncertainty
  publication-title: Comput Geosci
  doi: 10.1007/s10596-022-10132-y
– volume: 4
  start-page: 85
  issue: 2
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b1375
  article-title: Smart Proxy Modeling of SACROC CO2-EOR
  publication-title: Fluids
  doi: 10.3390/fluids4020085
– volume: 178
  start-page: 82
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0020
  article-title: Integrated optimization design for horizontal well placement and fracturing in tight oil reservoirs
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2019.03.006
– volume: 19
  start-page: 979
  issue: 5
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0485
  article-title: Robust optimization of subsurface flow using polynomial chaos and response surface surrogates
  publication-title: Comput Geosci
  doi: 10.1007/s10596-015-9516-5
– volume: 8
  start-page: 1225
  issue: 4
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0705
  article-title: Well placement optimization for offshore oilfield based on Theil index and differential evolution algorithm
  publication-title: J Pet Explor Prod Technol
  doi: 10.1007/s13202-017-0403-6
– volume: 118
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0545
  article-title: Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration
  publication-title: Int J Greenhouse Gas Control
  doi: 10.1016/j.ijggc.2022.103692
– volume: 163
  start-page: 463
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0080
  article-title: Fast evaluation of well placements in heterogeneous reservoir models using machine learning
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2018.01.019
– volume: 53
  start-page: 711
  issue: 4
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0835
  article-title: A comparison of extremal optimization, differential evolution and particle swarm optimization methods for well placement design in groundwater management
  publication-title: Math Geosci
  doi: 10.1007/s11004-020-09864-3
– year: 2012
  ident: 10.1016/j.fuel.2023.128826_b1570
  article-title: Computational optimization of shale resource development using reduced-physics surrogate models[C]//SPE
  publication-title: Western Regional Meeting OnePetro
– start-page: 1
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0315
  article-title: Use of low-fidelity models with machine-learning error correction for well placement optimization
  publication-title: Comput Geosci
– volume: 1
  start-page: 8
  issue: 1
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0620
  article-title: A review on hydraulic fracturing of unconventional reservoir
  publication-title: Petroleum
  doi: 10.1016/j.petlm.2015.03.008
– year: 2011
  ident: 10.1016/j.fuel.2023.128826_b0795
– volume: 104762
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1595
  article-title: Machine-learning-based well production prediction under geological and hydraulic fracture parameters uncertainty for unconventional shale gas reservoirs
  publication-title: J Nat Gas Sci Eng
– volume: 12
  start-page: 2897
  issue: 15
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0110
  article-title: Artificial intelligence applications in reservoir engineering: a status check
  publication-title: Energies
  doi: 10.3390/en12152897
– ident: 10.1016/j.fuel.2023.128826_b0890
  doi: 10.1109/CIS.2012.22
– volume: 17
  start-page: 249
  issue: 2
  year: 2013
  ident: 10.1016/j.fuel.2023.128826_b0800
  article-title: Hybrid differential evolution and particle swarm optimization for optimal well placement
  publication-title: Comput Geosci
  doi: 10.1007/s10596-012-9328-9
– volume: 150
  start-page: 348
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b0810
  article-title: Well placement optimization using metaheuristic bat algorithm
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2016.12.028
– volume: 24
  start-page: 1979
  issue: 6
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0275
  article-title: Black hole particle swarm optimization for well placement optimization
  publication-title: Comput Geosci
  doi: 10.1007/s10596-019-09887-8
– volume: 190
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0140
  article-title: Optimization of horizontal well fracturing in shale gas reservoir based on stimulated reservoir volume
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2020.107059
– ident: 10.1016/j.fuel.2023.128826_b1050
  doi: 10.1109/ICCI51257.2020.9247827
– volume: 8
  start-page: 252
  issue: 2
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0250
  article-title: Optimization of fracturing parameters for tight oil production based on genetic algorithm
  publication-title: Petroleum
  doi: 10.1016/j.petlm.2021.11.006
– volume: 9
  start-page: 13
  year: 2009
  ident: 10.1016/j.fuel.2023.128826_b0985
  publication-title: A comparative study on differential evolution and genetic algorithms for some combinatorial problems[C]//Proceedings of 8th Mexican international conference on artificial intelligence
– year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1085
  article-title: An intelligent method for deep-water injection-production well pattern design[C]//The 28th International Ocean and Polar Engineering Conference
  publication-title: OnePetro
– year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1495
  article-title: Proxy-based metamodeling optimization of the gas-assisted gravity drainage GAGD process in heterogeneous sandstone reservoirs[C]//SPE Western Regional Meeting
  publication-title: OnePetro
– volume: 192
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0230
  article-title: A surrogate-assisted multi-objective evolutionary algorithm with dimension-reduction for production optimization
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2020.107192
– volume: 217
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1620
  article-title: Shale oil production prediction and fracturing optimization based on machine learning
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2022.110900
– volume: 7
  start-page: 24
  issue: 01
  year: 2004
  ident: 10.1016/j.fuel.2023.128826_b0995
  article-title: Uncertainty assessment of well-placement optimization
  publication-title: SPE Reserv Eval Eng
  doi: 10.2118/87663-PA
– volume: 14
  start-page: 393
  issue: 03
  year: 2009
  ident: 10.1016/j.fuel.2023.128826_b0590
  article-title: The ensemble Kalman filter in reservoir engineering—a review
  publication-title: SPE J
  doi: 10.2118/117274-PA
– volume: 38
  start-page: 67
  issue: 2
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1590
  article-title: Applied method for production design optimization under geologic and economic uncertainties in shale gas reservoirs
  publication-title: Int J Model Simul
  doi: 10.1080/02286203.2017.1393712
– volume: 267
  start-page: 66
  issue: 1
  year: 1992
  ident: 10.1016/j.fuel.2023.128826_b0975
  article-title: Genetic algorithms
  publication-title: Sci Am
  doi: 10.1038/scientificamerican0792-66
– volume: 280
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0175
  article-title: Numerical simulation and optimization of injection rates and wells placement for carbon dioxide enhanced gas recovery using a genetic algorithm
  publication-title: J Clean Prod
  doi: 10.1016/j.jclepro.2020.124512
– volume: 2022
  issue: 208
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0355
  article-title: Surrogate-reformulation-assisted multitasking knowledge transfer for production optimization
  publication-title: J Pet Sci Eng
– volume: 11
  start-page: 3103
  issue: 7
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0410
  article-title: Application of nature-inspired algorithms and artificial neural network in waterflooding well control optimization
  publication-title: J Pet Explor Prod Technol
  doi: 10.1007/s13202-021-01199-x
– volume: 15
  start-page: 6372
  issue: 17
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0680
  article-title: Joint history matching of multiple types of field data in a 3d field-scale case study
  publication-title: Energies
  doi: 10.3390/en15176372
– volume: 173
  start-page: 37
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0910
  article-title: Self-adapt reservoir clusterization method to enhance robustness of well placement optimization
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2018.10.005
– year: 2019
  ident: 10.1016/j.fuel.2023.128826_b1420
  article-title: Waterflooding optimization under geological uncertainties by using deep reinforcement learning algorithms[C]//SPE Annual Technical Conference and Exhibition
  publication-title: OnePetro
– volume: 22
  start-page: 382
  issue: 04
  year: 2007
  ident: 10.1016/j.fuel.2023.128826_b0585
  article-title: Real-time production optimization of oil and gas production systems: a technology survey
  publication-title: SPE Prod Oper
– volume: 4
  start-page: 1942
  year: 1995
  ident: 10.1016/j.fuel.2023.128826_b0785
  article-title: Particle swarm optimization[C]//Proceedings of ICNN'95-international conference on neural networks
  publication-title: IEEE
– volume: 9
  start-page: 1
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0190
  article-title: Efficient optimization framework for integrated placement of horizontal wells and hydraulic fracture stages in unconventional gas reservoirs
  publication-title: Journal of Unconventional Oil and Gas Resources
  doi: 10.1016/j.juogr.2014.09.001
– volume: 20
  start-page: 1185
  issue: 6
  year: 2016
  ident: 10.1016/j.fuel.2023.128826_b0765
  article-title: Well placement optimization subject to realistic field development constraints
  publication-title: Comput Geosci
  doi: 10.1007/s10596-016-9584-1
– year: 2010
  ident: 10.1016/j.fuel.2023.128826_b1040
  article-title: A modified genetic algorithm for horizontal well placement optimization in gas condensate reservoirs[C]//SPE Annual Technical Conference and Exhibition
  publication-title: OnePetro
– volume: 116
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0460
  article-title: A radial basis function surrogate model assisted evolutionary algorithm for high-dimensional expensive optimization problems
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2021.108353
– volume: 23
  start-page: 2409
  issue: 06
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0015
  article-title: Robust life-cycle production optimization with a support-vector-regression proxy
  publication-title: SPE J
  doi: 10.2118/191378-PA
– volume: 152
  start-page: 586
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b0605
  article-title: A review on conceptual and practical oil and gas reservoir monitoring methods
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2017.01.038
– volume: 151
  start-page: 143
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1440
  article-title: Reducing the computation time of well placement optimisation problems using self-adaptive metamodelling
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2016.12.015
– volume: 39
  start-page: 502
  issue: 1
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0865
  article-title: A field development strategy for the joint optimization of flow allocations, well placements and well trajectories
  publication-title: Energy Explor Exploit
  doi: 10.1177/0144598720974425
– volume: 152
  start-page: 81
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1035
  article-title: Improved decision making with new efficient workflows for well placement optimization
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2017.02.011
– volume: 203
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0830
  article-title: Joint optimization of constrained well placement and control parameters using teaching-learning based optimization and an inter-distance algorithm
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2021.108652
– year: 2016
  ident: 10.1016/j.fuel.2023.128826_b1575
  article-title: Robust optimization of unconventional reservoirs under uncertainties[C]//SPE
– volume: 52
  start-page: 2295
  issue: 4
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0115
  article-title: Application of artificial intelligence techniques in the petroleum industry: a review
  publication-title: Artif Intell Rev
  doi: 10.1007/s10462-018-9612-8
– volume: 110640
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0180
  article-title: A new approach in well placement optimization using metaheuristic algorithms
  publication-title: J Pet Sci Eng
– volume: 25
  start-page: 105
  issue: 01
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0150
  article-title: Global and local surrogate-model-assisted differential evolution for waterflooding production optimization
  publication-title: SPE J
  doi: 10.2118/199357-PA
– year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1215
  article-title: Production optimization under waterflooding with Long Short-Term Memory and metaheuristic algorithm
  publication-title: Petroleum
– volume: 166
  start-page: 924
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0815
  article-title: Application of hybrid adaptive neuro-fuzzy inference system in well placement optimization
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2018.03.050
– volume: 10
  issue: 3
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b1255
  article-title: Identification of a Surrogate Model for economic performance prediction of oil reservoir production under waterflooding process. Iranian Journal of
  publication-title: Oil Gas Sci Technol
– volume: 185
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b1210
  article-title: Surrogate-assisted evolutionary algorithm with dimensionality reduction method for water flooding production optimization
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2019.106633
– ident: 10.1016/j.fuel.2023.128826_b0220
  doi: 10.2118/201229-PA
– start-page: 1
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0515
  article-title: Active learning for well control optimization with surrogate models
  publication-title: SPE J
– volume: 15
  start-page: 1
  issue: 3
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0205
  article-title: A rapid intelligent multi-fidelity surrogate-assisted multi-objective optimization method for water-flooding reservoir production optimization
  publication-title: Arab J Geosci
  doi: 10.1007/s12517-022-09575-5
– volume: 18
  start-page: 105
  issue: 1
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1530
  article-title: Use of reduced-order models in well control optimization
  publication-title: Optim Eng
  doi: 10.1007/s11081-016-9313-6
– year: 2000
  ident: 10.1016/j.fuel.2023.128826_b1535
  article-title: A fully compositional streamline simulator[C]//SPE
  publication-title: Annual Technical Conference and Exhibition OnePetro
– volume: 217
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1395
  article-title: Deep reinforcement learning and adaptive policy transfer for generalizable well control optimization
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2022.110868
– volume: 207
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0255
  article-title: Efficient and robust optimization for well patterns using a PSO algorithm with a CNN-based proxy model
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2021.109088
– volume: 29
  start-page: 1267
  issue: 4
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0615
  article-title: State-of-the-art for modelling reservoir inflows and management optimization
  publication-title: Water Resour Manag
  doi: 10.1007/s11269-014-0872-z
– volume: 10
  start-page: 1188
  issue: 4
  year: 2010
  ident: 10.1016/j.fuel.2023.128826_b0930
  article-title: Two hybrid differential evolution algorithms for engineering design optimization
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2010.05.007
– volume: 21
  start-page: 167
  issue: 1
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1545
  article-title: Coarse-scale data assimilation as a generic alternative to localization
  publication-title: Comput Geosci
  doi: 10.1007/s10596-016-9602-3
– volume: 206
  start-page: 467
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1465
  article-title: A robust proxy for production well placement optimization problems
  publication-title: Fuel
  doi: 10.1016/j.fuel.2017.06.030
– year: 2014
  ident: 10.1016/j.fuel.2023.128826_b0210
  article-title: Well placement optimization under constraints using modified cuckoo search[C]SPE Saudi Arabia section technical symposium and exhibition
  publication-title: OnePetro
– year: 2006
  ident: 10.1016/j.fuel.2023.128826_b0290
  article-title: Production optimization through coupled facility-reservoir simulation[c]intelligent energy conference and exhibition
  publication-title: OnePetro
– volume: 23
  start-page: 270
  issue: 2
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1300
  article-title: Data-driven surrogates for rapid simulation and optimization of WAG injection in fractured carbonate reservoirs
  publication-title: Pet Geosci
  doi: 10.1144/petgeo2016-068
– year: 2003
  ident: 10.1016/j.fuel.2023.128826_b0990
  article-title: Well placement optimization in field development[C]//SPE Annual Technical Conference and Exhibition
  publication-title: OnePetro
– volume: 26
  start-page: 1590
  issue: 04
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0380
  article-title: Gradient-enhanced support vector regression for robust life-cycle production optimization with nonlinear-state constraints
  publication-title: SPE J
  doi: 10.2118/204236-PA
– volume: 111945
  year: 2023
  ident: 10.1016/j.fuel.2023.128826_b1410
  article-title: Deep reinforcement learning for optimizing well control in subsurface systems with uncertain geology
  publication-title: J Comput Phys
– volume: 2022
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0430
  article-title: A robust optimization approach of well placement for doublet in heterogeneous geothermal reservoirs using random forest technique and genetic algorithm
  publication-title: Energy
– volume: 77
  start-page: 78
  issue: 1
  year: 2011
  ident: 10.1016/j.fuel.2023.128826_b0185
  article-title: Ant colony optimization for history matching and uncertainty quantification of reservoir models
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2011.02.005
– year: 2006
  ident: 10.1016/j.fuel.2023.128826_b1285
– volume: 47
  start-page: 11069
  issue: 9
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1130
  article-title: Multi-objective optimization of Brugge field for short-term and long-term waterflood management
  publication-title: Arab J Sci Eng
  doi: 10.1007/s13369-021-05614-7
– year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1235
  article-title: Automated optimization of well placement via adaptive space-filling surrogate modelling and evolutionary algorithm[C]//Abu Dhabi
  publication-title: International Petroleum Exhibition & Conference OnePetro
– ident: 10.1016/j.fuel.2023.128826_b0900
  doi: 10.12720/jiii.4.1.27-33
– volume: 26
  start-page: 1614
  issue: 04
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0505
  article-title: Multifidelity genetic transfer: an efficient framework for production optimization
  publication-title: SPE J
  doi: 10.2118/205013-PA
– volume: 2022
  start-page: 1
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0480
  article-title: Historical window-enhanced transfer gaussian process for production optimization
  publication-title: SPE J
– volume: 28
  start-page: 4641
  issue: 11
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b1520
  article-title: Fatigue optimization with combined ensembles of surrogate modeling for a truck cab
  publication-title: J Mech Sci Technol
  doi: 10.1007/s12206-014-1032-3
– volume: 121
  start-page: 327
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0715
  article-title: Well placement optimization using direct mapping of productivity potential and threshold value of productivity potential management strategy
  publication-title: Comput Chem Eng
  doi: 10.1016/j.compchemeng.2018.11.013
– year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0340
  article-title: An end-to-end deep sequential surrogate model for high performance reservoir modelling: enabling new workflows[c]spe annual technical conference and exhibition
  publication-title: OnePetro
– volume: 141
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0030
  article-title: A holistic review on artificial intelligence techniques for well placement optimization problem
  publication-title: Adv Eng Softw
  doi: 10.1016/j.advengsoft.2019.102767
– volume: 2022
  start-page: 1
  issue: 1
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0475
  article-title: Gaussian process models for well placement optimisation[C]//ECMOR 2022
  publication-title: European Assoc Geoscientists Eng
– volume: 22
  start-page: 1984
  issue: 06
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1145
  article-title: Model-based multiobjective optimization methods for efficient management of subsurface flow
  publication-title: SPE J
  doi: 10.2118/182598-PA
– year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1275
  article-title: Parameter Optimization Study of Gas Hydrate Reservoir Development Based on a Surrogate Model Assisted Particle Swarm Algorithm
  publication-title: Geofluids
– volume: 25
  start-page: 2033
  issue: 6
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0375
  article-title: Support-vector regression accelerated well location optimization: algorithm, validation, and field testing
  publication-title: Comput Geosci
  doi: 10.1007/s10596-021-10102-w
– year: 2015
  ident: 10.1016/j.fuel.2023.128826_b1180
  article-title: Physics-based and data-driven surrogates for production forecasting[C]//SPE
  publication-title: Reservoir Simulation Symposium OnePetro
  doi: 10.2118/173206-MS
– volume: 18
  start-page: 907
  issue: 4
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b0625
  article-title: Optimization methods for petroleum fields development and production systems: a review
  publication-title: Optim Eng
  doi: 10.1007/s11081-017-9365-2
– volume: 109
  start-page: 70
  year: 2013
  ident: 10.1016/j.fuel.2023.128826_b1510
  article-title: Well placement optimization under time-dependent uncertainty using an ensemble Kalman filter and a genetic algorithm
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2013.07.012
– volume: 156
  start-page: 91
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1585
  article-title: Rapid multistage hydraulic fracture design and optimization in unconventional reservoirs using a novel fast marching method
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2017.05.004
– volume: 12
  start-page: 1
  issue: 22
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0660
  article-title: A review of proxy modeling applications in numerical reservoir simulation
  publication-title: Arab J Geosci
  doi: 10.1007/s12517-019-4891-1
– volume: 27
  start-page: 307
  issue: 01
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0225
  article-title: Surrogate-assisted multiobjective optimization of a hydraulically fractured well in a naturally fractured shale reservoir with geological uncertainty
  publication-title: SPE J
  doi: 10.2118/206755-PA
– volume: 13
  start-page: 1085
  issue: 2
  year: 2013
  ident: 10.1016/j.fuel.2023.128826_b1355
  article-title: Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2012.10.009
– volume: 26
  start-page: 483
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0360
  article-title: Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2014.10.017
– volume: 339
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b1015
  article-title: A combination of artificial neural network and genetic algorithm to optimize gas injection: a case study for EOR Applications
  publication-title: J Mol Liq
  doi: 10.1016/j.molliq.2021.116654
– volume: 413
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0570
  article-title: A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
  publication-title: J Comput Phys
  doi: 10.1016/j.jcp.2020.109456
– volume: 2022
  start-page: 1
  issue: 1
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0350
  article-title: Application of coupled flow network and machine learning models for data-driven forecasting of reservoir souring[C]ECMOR 2022
  publication-title: European Assoc Geoscientists Eng
– volume: 25
  start-page: 35
  issue: 1
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b1205
  article-title: Field development optimization using a sequence of surrogate treatments
  publication-title: Comput Geosci
  doi: 10.1007/s10596-020-09985-y
– start-page: 1
  year: 2005
  ident: 10.1016/j.fuel.2023.128826_b0915
– volume: 25
  start-page: 1887
  issue: 6
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0540
  article-title: Optimization of subsurface CO2 injection based on neural network surrogate modeling
  publication-title: Comput Geosci
  doi: 10.1007/s10596-021-10092-9
– year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0075
  article-title: Data analytics for production optimization in unconventional reservoirs[C]SPE/AAPG/SEG Unconventional Resources Technology Conference
  publication-title: OnePetro
– volume: 27
  start-page: 3387
  issue: 9
  year: 2013
  ident: 10.1016/j.fuel.2023.128826_b0070
  article-title: Intelligent systems in optimizing reservoir operation policy: a review
  publication-title: Water Resour Manag
  doi: 10.1007/s11269-013-0353-9
– year: 2023
  ident: 10.1016/j.fuel.2023.128826_b0960
  article-title: Deep learning based closed-loop well control optimization of geothermal reservoir with uncertain permeability
  publication-title: Renew Energy
– volume: 187
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0565
  article-title: Well control optimization using a two-step surrogate treatment
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2019.106565
– volume: 143
  issue: 10
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0845
  article-title: A novel streamline-based objective function for well placement optimization in waterfloods
  publication-title: J Energy Res Technol
  doi: 10.1115/1.4049457
– volume: 2022
  issue: 105
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0385
  article-title: Integrated optimization design for horizontal well spacing and fracture stage placement in shale gas reservoir
  publication-title: J Nat Gas Sci Eng
– volume: 2022
  start-page: 1
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0710
  article-title: An intelligent multi-fidelity surrogate-assisted multi-objective reservoir production optimization method based on transfer stacking
  publication-title: Comput Geosci
– year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0750
  article-title: A well placement optimization constrained to regional pressure balance[C]//SPE Europec featured at 80th EAGE conference and exhibition
  publication-title: OnePetro
– volume: 4
  start-page: 315
  issue: 3
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b1175
  article-title: Development of a surrogate simulator for two-phase subsurface flow simulation using trajectory piecewise linearization
  publication-title: J Pet Explor Prod Technol
  doi: 10.1007/s13202-013-0084-8
– start-page: 1
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1060
  article-title: Grey wolf optimizer for solving well placement optimization problem constrained to minimum well distan
  publication-title: Pet Sci Technol
– volume: 26
  start-page: 1914
  issue: 04
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0470
  article-title: Life-cycle optimization of the carbon dioxide huff-n-puff process in an unconventional oil reservoir using least-squares support vector and gaussian process regression proxies
  publication-title: SPE J
  doi: 10.2118/201721-PA
– volume: 253
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1610
  article-title: Physics-informed surrogate modeling for hydro-fracture geometry prediction based on deep learning
  publication-title: Energy
  doi: 10.1016/j.energy.2022.124139
– volume: 201
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0665
  article-title: A review on closed-loop field development and management
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2021.108457
– year: 2007
  ident: 10.1016/j.fuel.2023.128826_b1030
  article-title: Optimal well placement for production optimization[C]//Eastern regional meeting
  publication-title: OnePetro
– volume: 78
  start-page: 664
  issue: 3–4
  year: 2011
  ident: 10.1016/j.fuel.2023.128826_b1110
  article-title: Application of an improved harmony search algorithm in well placement optimization using streamline simulation
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2011.08.009
– volume: 95
  start-page: 75
  year: 2016
  ident: 10.1016/j.fuel.2023.128826_b0760
  article-title: A multilevel coordinate search algorithm for well placement, control and joint optimization
  publication-title: Comput Chem Eng
  doi: 10.1016/j.compchemeng.2016.09.006
– year: 2011
  ident: 10.1016/j.fuel.2023.128826_b0435
  article-title: A proxy modeling approach to optimization horizontal well placement[C]//45th US Rock mechanics/geomechanics Symposium
  publication-title: OnePetro
– volume: 34
  start-page: 109
  issue: 2
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0965
  article-title: Well placement optimization using differential evolution algorithm
  publication-title: Iranian J Chem Chem Eng (IJCCE)
– volume: 138
  issue: 5
  year: 2016
  ident: 10.1016/j.fuel.2023.128826_b0130
  article-title: Efficient particle swarm optimization of well placement to enhance oil recovery using a novel streamline-based objective function
  publication-title: J Energy Res Technol
  doi: 10.1115/1.4032547
– volume: 52
  start-page: 35
  issue: 1
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1090
  article-title: Integrated well placement and completion optimization using heuristic algorithms: a case study of an Iranian carbonate formation
  publication-title: J Chem Petrol Eng
– volume: 22
  start-page: 657
  issue: 3
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1105
  article-title: Groundwater management using a new coupled model of meshless local Petrov-Galerkin method and modified artificial bee colony algorithm
  publication-title: Comput Geosci
  doi: 10.1007/s10596-018-9718-8
– volume: 69
  start-page: 46
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b1045
  article-title: Grey wolf optimizer
  publication-title: Adv Eng Softw
  doi: 10.1016/j.advengsoft.2013.12.007
– volume: 117
  start-page: 209
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1070
  article-title: A meta-optimized hybrid global and local algorithm for well placement optimization
  publication-title: Comput Chem Eng
  doi: 10.1016/j.compchemeng.2018.06.013
– volume: 8
  start-page: 256
  issue: 3
  year: 2004
  ident: 10.1016/j.fuel.2023.128826_b1135
  article-title: Handling multiple objectives with particle swarm optimization
  publication-title: IEEE Trans Evol Comput
  doi: 10.1109/TEVC.2004.826067
– volume: 149
  start-page: 675
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b0720
  article-title: Multi-criterion based well placement and control in the water-flooding of naturally fractured reservoir
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2016.11.013
– volume: 58
  start-page: 1246
  issue: 8
  year: 1963
  ident: 10.1016/j.fuel.2023.128826_b1260
  article-title: Principles of geostatistics
  publication-title: Econ Geol
  doi: 10.2113/gsecongeo.58.8.1246
– year: 1992
  ident: 10.1016/j.fuel.2023.128826_b1280
– volume: 110709
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1475
  article-title: Toward investigating the application of reservoir opportunity index in facilitating well placement optimization under geological uncertainty
  publication-title: J Pet Sci Eng
– volume: 25
  start-page: 1603
  issue: 10
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b1025
  article-title: Application of genetic algorithm for well placement optimization in Sulige gasfield
  publication-title: Nat Gas Geosci
– volume: 208
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0310
  article-title: A comparison of machine learning surrogate models for net present value prediction from well placement binary data
  publication-title: J Pet Sci Eng
– year: 2013
  ident: 10.1016/j.fuel.2023.128826_b1170
  article-title: A black-box stencil interpolation method to accelerate reservoir simulations[C]//SPE
  publication-title: Reservoir Simulation Symposium OnePetro
– volume: 148
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0405
  article-title: 3D CNN-PCA: A deep-learning-based parameterization for complex geomodels
  publication-title: Comput Geosci
  doi: 10.1016/j.cageo.2020.104676
– year: 2017
  ident: 10.1016/j.fuel.2023.128826_b0645
  article-title: Application of data analytics for production optimization in unconventional reservoirs: a critical review [c]//spe/aapg/seg unconventional resources technology conference
  publication-title: OnePetro
– volume: 253
  start-page: 840
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b1470
  article-title: Toward mechanistic understanding of Fast SAGD process in naturally fractured heavy oil reservoirs: Application of response surface methodology and genetic algorithm
  publication-title: Fuel
  doi: 10.1016/j.fuel.2019.05.070
– volume: 27
  start-page: 179
  issue: 2
  year: 2023
  ident: 10.1016/j.fuel.2023.128826_b1385
  article-title: Convolutional–recurrent neural network proxy for robust optimization and closed-loop reservoir management
  publication-title: Comput Geosci
  doi: 10.1007/s10596-022-10189-9
– year: 2016
  ident: 10.1016/j.fuel.2023.128826_b1580
  article-title: Least square support vector machine: an emerging tool for data analysis[C]//SPE
  publication-title: Low Perm Symposium OnePetro
– volume: 5
  start-page: 6
  year: 2012
  ident: 10.1016/j.fuel.2023.128826_b0610
  article-title: Well placement optimization: a survey with special focus on application for gas/gas-condensate reservoirs
  publication-title: J Nat Gas Sci Eng
  doi: 10.1016/j.jngse.2011.10.002
– volume: 36
  start-page: 776
  issue: 6
  year: 2010
  ident: 10.1016/j.fuel.2023.128826_b1345
  article-title: Optimization of well placement geothermal reservoirs using artificial intelligence
  publication-title: Comput Geosci
  doi: 10.1016/j.cageo.2009.11.006
– volume: 2014
  start-page: 1
  issue: 1
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b1160
  article-title: A pareto-based well placement optimization[C]//76th EAGE Conference and Exhibition 2014
  publication-title: European Association of Geoscientists & Engineers
– start-page: 1
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0090
  article-title: An integrated approach for history matching of complex fracture distributions for shale oil reservoirs based on improved adaptive particle filter
  publication-title: SPE J
– volume: 205
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0265
  article-title: Reservoir production optimization based on surrogate model and differential evolution algorithm
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2021.108879
– year: 2012
  ident: 10.1016/j.fuel.2023.128826_b1195
– volume: 2021
  issue: 207
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0500
  article-title: A double-model differential evolution for constrained waterflooding production optimization
  publication-title: J Pet Sci Eng
– volume: 117
  start-page: 291
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1605
  article-title: Optimization of multistage fractured horizontal well in tight oil based on embedded discrete fracture model
  publication-title: Comput Chem Eng
  doi: 10.1016/j.compchemeng.2018.06.015
– start-page: 403
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b0735
– volume: 119
  start-page: 123
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b1140
  article-title: Biobjective optimization for general oil field development
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2014.04.021
– volume: 13
  start-page: 391
  issue: 03
  year: 2010
  ident: 10.1016/j.fuel.2023.128826_b1310
  article-title: Results of the Brugge benchmark study for flooding optimization and history matching
  publication-title: SPE Reserv Eval Eng
  doi: 10.2118/119094-PA
– volume: 47
  start-page: 15
  issue: 1–2
  year: 2005
  ident: 10.1016/j.fuel.2023.128826_b0160
  article-title: Genetic algorithms in oil industry: An overview
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2004.11.006
– volume: 35
  start-page: 7387
  issue: 9
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0300
  article-title: A critical review of reservoir simulation applications in key thermal recovery processes: lessons, opportunities, and challenges
  publication-title: Energy Fuel
  doi: 10.1021/acs.energyfuels.1c00249
– volume: 401
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b1370
  article-title: Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media
  publication-title: J Comput Phys
– volume: 18
  start-page: 433
  issue: 3
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b0770
  article-title: Simultaneous and sequential approaches to joint optimization of well placement and control
  publication-title: Comput Geosci
  doi: 10.1007/s10596-013-9375-x
– volume: 2
  start-page: 55
  issue: 1
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0840
  article-title: Optimizing well placement via metaheuristic algorithms (case study: Shadegan fields)
  publication-title: Constr sci technol
– volume: 11
  start-page: 1781
  issue: 4
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0270
  article-title: Application of particle swarm optimization and genetic algorithm for optimization of a southern Iranian oilfield
  publication-title: J Pet Explor Prod
– year: 2001
  ident: 10.1016/j.fuel.2023.128826_b0725
  article-title: Optimization of displacements in porous media using rate control[C]//SPE Annual Technical Conference and Exhibition
  publication-title: OnePetro
– volume: 86
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b1270
  article-title: Multi-objective optimization under uncertainty of geothermal reservoirs using experimental design-based proxy models
  publication-title: Geothermics
  doi: 10.1016/j.geothermics.2019.101792
– year: 1996
  ident: 10.1016/j.fuel.2023.128826_b0575
  article-title: East vacuum grayburg san andres unit co2 flood ten year performance review: evolution of a reservoir management strategy and results of wag optimization[c]//spe annual technical conference and exhibition
  publication-title: OnePetro
– volume: 147
  start-page: 237
  year: 2016
  ident: 10.1016/j.fuel.2023.128826_b1100
  article-title: Well placement optimization using imperialist competitive algorithm
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2016.06.017
– volume: 23
  start-page: 2428
  issue: 06
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1315
  article-title: Enhancing the performance of the distributed gauss-newton optimization method by reducing the effect of numerical noise and truncation error with support-vector regression
  publication-title: SPE J
  doi: 10.2118/187430-PA
– volume: 2:
  start-page: 692
  year: 2002
  ident: 10.1016/j.fuel.2023.128826_b0885
  publication-title: A niching particle swarm optimizer[C]//Proceedings of the 4th Asia-Pacific conference on simulated evolution and learning
– volume: 85
  start-page: 213
  issue: 4
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b1380
  article-title: Deep learning reservoir porosity prediction based on multilayer long short-term memory network
  publication-title: Geophysics
  doi: 10.1190/geo2019-0261.1
– volume: 5
  start-page: 34
  issue: 3
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b0650
  article-title: Review of field development optimization of waterflooding, EOR, and well placement focusing on history matching and optimization algorithms
  publication-title: Processes
  doi: 10.3390/pr5030034
– volume: 36
  start-page: 433
  issue: 3
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1365
  article-title: Well-placement optimisation using sequential artificial neural networks
  publication-title: Energy Explor Exploit
  doi: 10.1177/0144598717729490
– start-page: 1
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0970
– volume: 86
  start-page: 385
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0490
  article-title: Surrogate accelerated sampling of reservoir models with complex structures using sparse polynomial chaos expansion
  publication-title: Adv Water Resour
  doi: 10.1016/j.advwatres.2015.09.009
– volume: 27
  start-page: 1160
  issue: 02
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1435
  article-title: An Efficient Spatial-Temporal Convolution Recurrent Neural Network Surrogate Model for History Matching
  publication-title: SPE J
  doi: 10.2118/208604-PA
– volume: 56
  issue: 4
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0050
  article-title: Upscaling water flow in composite nanoporous shale matrix using lattice Boltzmann method
  publication-title: Water Resour Res
  doi: 10.1029/2019WR026007
– start-page: 43
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0105
  article-title: Artificial neural network modeling and forecasting of oil reservoir performance
  publication-title: Appl. data manage. Anal.
– volume: 19
  start-page: 149
  issue: 1
  year: 2008
  ident: 10.1016/j.fuel.2023.128826_b1290
  article-title: Polynomial chaos for the approximation of uncertainties: chances and limits
  publication-title: Eur J Appl Math
  doi: 10.1017/S0956792508007328
– ident: 10.1016/j.fuel.2023.128826_b1335
  doi: 10.1109/TNN.2002.1000134
– year: 2009
  ident: 10.1016/j.fuel.2023.128826_b0165
  article-title: Well placement optimization using a genetic algorithm with nonlinear constraints[C]SPE reservoir simulation symposium
  publication-title: OnePetro
– volume: 206
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0195
  article-title: Optimization of WAG in real geological field using rigorous soft computing techniques and nature-inspired algorithms
  publication-title: J Pet Sci Eng
– volume: 6
  start-page: 182
  issue: 2
  year: 2002
  ident: 10.1016/j.fuel.2023.128826_b1120
  article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II
  publication-title: IEEE Trans Evol Comput
  doi: 10.1109/4235.996017
– volume: 15
  start-page: 5247
  issue: 14
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0345
  article-title: A review of proxy modeling highlighting applications for reservoir engineering
  publication-title: Energies
  doi: 10.3390/en15145247
– year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0875
  article-title: Joint Optimization of Well Placement and Control Using Multi-Stage
– year: 2014
  ident: 10.1016/j.fuel.2023.128826_b0695
  article-title: Optimization of well placement to minimize the risk of scale deposition in field development[C]//Abu Dhabi international petroleum exhibition and conference
  publication-title: OnePetro
– volume: 186
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0560
  article-title: Hybrid derivative-free technique and effective machine learning surrogate for nonlinear constrained well placement and production optimization
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2019.106726
– year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0125
– volume: 15
  start-page: 4
  issue: 1
  year: 2010
  ident: 10.1016/j.fuel.2023.128826_b0925
  article-title: Differential evolution: A survey of the state-of-the-art
  publication-title: IEEE Trans Evol Comput
  doi: 10.1109/TEVC.2010.2059031
– volume: 63
  start-page: 3483
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b1460
  article-title: Artificial Neural Network based surrogate modelling for multi-objective optimisation of geological CO2 storage operations
  publication-title: Energy Procedia
  doi: 10.1016/j.egypro.2014.11.377
– year: 2001
  ident: 10.1016/j.fuel.2023.128826_b0155
  article-title: The use of genetic algorithms in well placement optimization[C]SPE Latin American and Caribbean petroleum engineering conference
  publication-title: OnePetro
– year: 2006
  ident: 10.1016/j.fuel.2023.128826_b1515
  article-title: Uncertainty analysis of a giant oil field in the middle east using surrogate reservoir model[C]//Abu Dhabi International Petroleum Exhibition and Conference
  publication-title: OnePetro
– year: 2021
  ident: 10.1016/j.fuel.2023.128826_b1055
  article-title: A compositional function hybridization of PSO and GWO for solving well placement optimisation problem
  publication-title: Petrol Res
– volume: 4
  start-page: 406
  issue: 4
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b1565
  article-title: Advances and challenges in shale oil development: A critical review
  publication-title: Advances in Geo-Energy Research
  doi: 10.46690/ager.2020.04.06
– volume: 80
  start-page: 177
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0335
  article-title: Adaptive surrogate modeling with evolutionary algorithm for well placement optimization in fractured reservoirs
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2019.03.022
– volume: 195
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0555
  article-title: Robust optimisation of water flooding using an experimental design-based surrogate model: a case study of a Niger-Delta oil reservoir
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2020.107824
– volume: 132
  start-page: 18
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b1115
  article-title: Pareto-based robust optimization of water-flooding using multiple realizations
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2015.04.038
– volume: 2021
  start-page: 1
  issue: 1
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b0860
  article-title: Hybrid of PSO and CMA-ES algorithms for joint optimization of well placement and control[C]//82nd EAGE Annual Conference & Exhibition
  publication-title: European Assoc Geoscientists Eng
– volume: 326
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0950
  article-title: Data-driven evolutionary algorithm for oil reservoir well-placement and control optimization
  publication-title: Fuel
  doi: 10.1016/j.fuel.2022.125125
– volume: 208
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0520
  article-title: Dynamic production optimization based on transfer learning algorithms
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2021.109278
– volume: 25
  start-page: 1939
  issue: 6
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b1075
  article-title: Well placement optimization using shuffled frog leaping algorithm
  publication-title: Comput Geosci
  doi: 10.1007/s10596-021-10094-7
– volume: 192
  year: 2020
  ident: 10.1016/j.fuel.2023.128826_b0395
  article-title: Deep-learning-based surrogate model for reservoir simulation with time-varying well controls
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2020.107273
– year: 2010
  ident: 10.1016/j.fuel.2023.128826_b0780
– volume: 149
  start-page: 383
  year: 2017
  ident: 10.1016/j.fuel.2023.128826_b1020
  article-title: An efficient geometry-based optimization approach for well placement in oil fields
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2016.10.055
– volume: 220
  year: 2023
  ident: 10.1016/j.fuel.2023.128826_b1325
  article-title: Optimizing initiation time of waterflooding under geological uncertainties with Value of Information: Application of simulation-regression approach
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2022.111166
– volume: 3
  start-page: 365
  issue: 4
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0905
  article-title: Development of an efficient hybrid GA-PSO approach applicable for well placement optimization
  publication-title: Adv Geo-Energy Res
  doi: 10.26804/ager.2019.04.03
– volume: 2022
  start-page: 1
  issue: 1
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0415
  article-title: Closed-loop reservoir management using a convolutional-recurrent neural network proxy for robust production optimization[C]//ECMOR 2022
  publication-title: European Assoc Geoscientists Eng
– volume: 165
  start-page: 496
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b1165
  article-title: Development of robust surrogate model for economic performance prediction of oil reservoir production under waterflooding process
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2018.01.065
– year: 2020
  ident: 10.1016/j.fuel.2023.128826_b1320
  article-title: Production Optimization of the CO2 Huff-n-Puff Process in an Unconventional Reservoir Using a Machine Learning Based Proxy[C]//SPE Improved Oil Recovery Conference
  publication-title: OnePetro
– volume: 34
  start-page: 699
  issue: 3
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0365
  article-title: Reservoir rock permeability prediction using SVR based on radial basis function kernel
  publication-title: Carbonates Evaporites
  doi: 10.1007/s13146-019-00493-4
– year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0730
  article-title: Employing smart flow control valves for fast closed-loop reservoir management[c]//abu dhabi international petroleum exhibition & conference
  publication-title: OnePetro
– volume: 162
  start-page: 652
  year: 2018
  ident: 10.1016/j.fuel.2023.128826_b0755
  article-title: Determination of vertical/horizontal well type from generalized field development optimization
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2017.10.083
– year: 2015
  ident: 10.1016/j.fuel.2023.128826_b1010
  article-title: Production optimization strategy using hybrid genetic algorithm[C]//Abu Dhabi International Petroleum Exhibition and Conference
  publication-title: OnePetro
– volume: 123
  start-page: 46
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b1360
  article-title: Assisted history matching using artificial neural network based global optimization method–Applications to Brugge field and a fractured Iranian reservoir
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2014.07.034
– start-page: 1
  year: 2023
  ident: 10.1016/j.fuel.2023.128826_b1415
  article-title: Practical Closed-Loop Reservoir Management Using Deep Reinforcement Learning
  publication-title: SPE J
– volume: 30
  start-page: 2753
  issue: 3
  year: 2021
  ident: 10.1016/j.fuel.2023.128826_b1490
  article-title: Scenario Reduction of Realizations Using Fast Marching Method in Robust Well Placement Optimization of Injectors
  publication-title: Nat Resour Res
  doi: 10.1007/s11053-021-09833-5
– volume: 19
  start-page: 933
  issue: 4
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0005
  article-title: Multi-objective optimization for rapid and robust optimal oilfield development under geological uncertainty
  publication-title: Comput Geosci
  doi: 10.1007/s10596-015-9507-6
– volume: 210
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0525
  article-title: Multi-solution well placement optimization using ensemble learning of surrogate models
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2021.110076
– volume: 52
  start-page: 498
  issue: 1
  year: 2019
  ident: 10.1016/j.fuel.2023.128826_b0120
  article-title: Machine learning models to support reservoir production optimization
  publication-title: IFAC-PapersOnLine
  doi: 10.1016/j.ifacol.2019.06.111
– volume: 2022
  issue: 208
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0420
  article-title: Efficient well placement optimization based on theory-guided convolutional neural network
  publication-title: J Pet Sci Eng
– start-page: 109
  year: 2010
  ident: 10.1016/j.fuel.2023.128826_b0980
– volume: 19
  start-page: 727
  issue: 4
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b0670
  article-title: Jointly updating the mean size and spatial distribution of facies in reservoir history matching
  publication-title: Comput Geosci
  doi: 10.1007/s10596-015-9478-7
– volume: 8
  start-page: 3589
  year: 2022
  ident: 10.1016/j.fuel.2023.128826_b0530
  article-title: Optimization design of horizontal well fracture stage placement in shale gas reservoirs based on an efficient variable-fidelity surrogate model and intelligent algorithm
  publication-title: Energy Rep
  doi: 10.1016/j.egyr.2022.02.228
– year: 2022
  ident: 10.1016/j.fuel.2023.128826_b1480
  article-title: Optimization and Analysis of CO2 Huff-n-Puff Process in Shale Oil Reservoirs Using Response Surface Methodology (RSM)
  publication-title: Geofluids
– year: 2011
  ident: 10.1016/j.fuel.2023.128826_b0600
  article-title: Advanced history matching techniques reviewed[C]//SPE Middle East Oil and Gas Show and Conference
  publication-title: OnePetro
– volume: 109
  start-page: 1
  year: 2013
  ident: 10.1016/j.fuel.2023.128826_b1125
  article-title: Application of multi-criterion robust optimization in water-flooding of oil reservoir
  publication-title: J Pet Sci Eng
  doi: 10.1016/j.petrol.2013.07.008
– volume: 51
  start-page: 905
  year: 2015
  ident: 10.1016/j.fuel.2023.128826_b1540
  article-title: Shape optimization of trawl-doors using variable-fidelity models and space mapping
  publication-title: Procedia Comput Sci
  doi: 10.1016/j.procs.2015.05.223
– volume: 10
  start-page: 629
  issue: 2
  year: 2010
  ident: 10.1016/j.fuel.2023.128826_b0935
  article-title: Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2009.08.031
– volume: 6
  start-page: 40
  issue: 01
  year: 2014
  ident: 10.1016/j.fuel.2023.128826_b0690
  article-title: Consideration of voidage-replacement ratio in well-placement optimization
  publication-title: SPE Econ. Manage.
  doi: 10.2118/163354-PA
– volume: 2
  start-page: 79
  issue: 1
  year: 2016
  ident: 10.1016/j.fuel.2023.128826_b0805
  article-title: On the application of artificial bee colony (ABC) algorithm for optimization of well placements in fractured reservoirs; efficiency comparison with the particle swarm optimization (PSO) methodology
  publication-title: Petroleum
  doi: 10.1016/j.petlm.2015.11.004
SSID ssj0007854
Score 2.5874674
SecondaryResourceType review_article
Snippet •This review study aims to help promote research activities within the field of reservoir production optimization.•A variety of intelligent optimization...
SourceID crossref
elsevier
SourceType Enrichment Source
Index Database
Publisher
StartPage 128826
SubjectTerms Conventional reservoirs
Intelligent optimization algorithm
Reservoir production optimization
Surrogate model
Unconventional reservoirs
Title A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization
URI https://dx.doi.org/10.1016/j.fuel.2023.128826
Volume 350
WOSCitedRecordID wos001013511100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVESC
  databaseName: Elsevier SD Freedom Collection Journals 2021
  issn: 0016-2361
  databaseCode: AIEXJ
  dateStart: 19950101
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://www.sciencedirect.com
  omitProxy: false
  ssIdentifier: ssj0007854
  providerName: Elsevier
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1ba9RAFB7W1gd9EK9Yb8yDbyFLLpNk5jFIi4oUwYrbpzCTTHTLNinZZOn_kP7fnrkkO1ulqOBLWIa57OZ8O-fCOd9B6C0HlaSYrXySVolPCIl8nqbczxglAvzmLOaBbjaRHR_TxYJ9ns2uxlqYzSprGnp5yS7-q6hhDIStSmf_QtzTpjAAn0Ho8ASxw_OPBJ975di-YKxLaTQrhGHe7L0WbolzW37p8dX3Fqb_ODdczeuh61oVWTMtcjRZw25mupoFutAdUhVM3aZddirbqzJ0tDunuBbw0SBXOjah-nGbzPopFvHNBq8_OZg95TqYezrIqrVaVuUPDXp0seStO2wK5r0cLtOhXy9NRgvcmZ0b3Ih0mpwp7zQRt7HqZpvipG_xMPUVaYx7i8eGv_YXjWCCE2fzGn7dXB0xB41Moxv021qhf1Ebq30j5WfGjNxB-1GWMLgs9_MPh4uPk4rPaGLove0XsdVYJnHw5km_t3gcK-bkIXpg3Q-cG9g8QjPZPEb3HVLKJ-hnjkcAYQMg3DbYARB2RYu3AMIADTwBCBsAYRAxdtGiZ-0CCE8AwlsA7ZzyFH09Ojx59963rTv8Mg6C3pdJRXjICLwBxsFmT0XIBBXg_gY8SWkZpJSQmghWVrGQSRDyiAqZSXBIykQSHj9De03byOcI8yADl5yXRMqQ1JQKJutKhJrStqpTdoDC8fUWpeW1V-1VVsWYwHhWKJEUSiSFEckB8qY1F4bV5dbZySi1wtqlxt4sAGS3rHvxj-teonvb_8IrtNd3g3yN7pabfrnu3lgsXgN-jLt2
linkProvider Elsevier
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+critical+review+on+intelligent+optimization+algorithms+and+surrogate+models+for+conventional+and+unconventional+reservoir+production+optimization&rft.jtitle=Fuel+%28Guildford%29&rft.au=Wang%2C+Lian&rft.au=Yao%2C+Yuedong&rft.au=Luo%2C+Xiaodong&rft.au=Daniel+Adenutsi%2C+Caspar&rft.date=2023-10-15&rft.pub=Elsevier+Ltd&rft.issn=0016-2361&rft.volume=350&rft_id=info:doi/10.1016%2Fj.fuel.2023.128826&rft.externalDocID=S0016236123014394
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0016-2361&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0016-2361&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0016-2361&client=summon