Efficiency enhancement of a commercial natural gas liquid recovery plant: A MINLP optimization analysis

This paper aims at modeling and optimizing a Middle East-based commercial natural gas liquid (NGL) recovery and fractionation plant, using a predictive process simulator. NGL units are known to be highly energy-intensive as steam-based heating and refrigeration-based cryogenic cooling are critical r...

Full description

Saved in:

Bibliographic Details
Published in:	Separation science and technology Vol. 55; no. 5; pp. 955 - 966
Main Authors:	Murali, Ashwin, Berrouk, Abdallah S., Dara, Satyadileep, AlWahedi, Yasser F., Adegunju, Sulaimon, Abdulla, Haitham Salmeen, Das, Anjan Kumar, Yousif, Nafisa, Hosani, Mariam Al
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 23.03.2020 Taylor & Francis Ltd
Subjects:	Algorithms Approximation Computer simulation Cryogenic cooling distillation Economics Feeds Fractionation Gas temperature gPROMS Heating Liquefied natural gas Liquefied petroleum gas Mixed integer Model accuracy Naphtha Natural gas Natural gas liquids Natural gas prices NGL recovery process Nonlinear programming Optimization Profitability Ratios Recovery Refrigeration Revenue simulation Simulators Steady state models Steam consumption
ISSN:	0149-6395, 1520-5754
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	This paper aims at modeling and optimizing a Middle East-based commercial natural gas liquid (NGL) recovery and fractionation plant, using a predictive process simulator. NGL units are known to be highly energy-intensive as steam-based heating and refrigeration-based cryogenic cooling are critical requirements for their operation. Indeed, these units govern the degree of profitability of gas plants especially during low natural gas price scenarios. As a result, this study explores the ways of improving the performance of NGL units through a deterministic optimization analysis. A steady state model of the plant is built using gPROMS process builder followed by validation using plant data to ensure the model accuracy. A mixed integer nonlinear programming optimization problem is formulated with the objective of maximizing the net revenue of the plants by means of manipulating various decision variables such as feed gas temperature, column operating pressure, feed stage location, reflux and boil up ratios subject to specific process constraints. Optimization problem is solved using outer approximation equality relaxation augmented penalty algorithm. It is determined that the process optimization yields an additional revenue of 4.1 MM USD annually due to ~22% increase in Liquefied Petroleum Gas (LPG) production, ~6% increase in Naphtha production, and ~16% reduction in steam consumption in the reboiler of the columns.
AbstractList	This paper aims at modeling and optimizing a Middle East-based commercial natural gas liquid (NGL) recovery and fractionation plant, using a predictive process simulator. NGL units are known to be highly energy-intensive as steam-based heating and refrigeration-based cryogenic cooling are critical requirements for their operation. Indeed, these units govern the degree of profitability of gas plants especially during low natural gas price scenarios. As a result, this study explores the ways of improving the performance of NGL units through a deterministic optimization analysis. A steady state model of the plant is built using gPROMS process builder followed by validation using plant data to ensure the model accuracy. A mixed integer nonlinear programming optimization problem is formulated with the objective of maximizing the net revenue of the plants by means of manipulating various decision variables such as feed gas temperature, column operating pressure, feed stage location, reflux and boil up ratios subject to specific process constraints. Optimization problem is solved using outer approximation equality relaxation augmented penalty algorithm. It is determined that the process optimization yields an additional revenue of 4.1 MM USD annually due to ~22% increase in Liquefied Petroleum Gas (LPG) production, ~6% increase in Naphtha production, and ~16% reduction in steam consumption in the reboiler of the columns. This paper aims at modeling and optimizing a Middle East-based commercial natural gas liquid (NGL) recovery and fractionation plant, using a predictive process simulator. NGL units are known to be highly energy-intensive as steam-based heating and refrigeration-based cryogenic cooling are critical requirements for their operation. Indeed, these units govern the degree of profitability of gas plants especially during low natural gas price scenarios. As a result, this study explores the ways of improving the performance of NGL units through a deterministic optimization analysis. A steady state model of the plant is built using gPROMS process builder followed by validation using plant data to ensure the model accuracy. A mixed integer nonlinear programming optimization problem is formulated with the objective of maximizing the net revenue of the plants by means of manipulating various decision variables such as feed gas temperature, column operating pressure, feed stage location, reflux and boil up ratios subject to specific process constraints. Optimization problem is solved using outer approximation equality relaxation augmented penalty algorithm. It is determined that the process optimization yields an additional revenue of 4.1 MM USD annually due to ~22% increase in Liquefied Petroleum Gas (LPG) production, ~6% increase in Naphtha production, and ~16% reduction in steam consumption in the reboiler of the columns.
Author	Berrouk, Abdallah S. Das, Anjan Kumar Adegunju, Sulaimon Dara, Satyadileep Abdulla, Haitham Salmeen Hosani, Mariam Al AlWahedi, Yasser F. Murali, Ashwin Yousif, Nafisa
Author_xml	– sequence: 1 givenname: Ashwin surname: Murali fullname: Murali, Ashwin organization: Department of Chemical Engineering, Khalifa University of Science and Technology, The Petroleum Institute – sequence: 2 givenname: Abdallah S. orcidid: 0000-0001-7616-726X surname: Berrouk fullname: Berrouk, Abdallah S. email: abdallah.berrouk@ku.ac.ae organization: Center for Catalysis and Separation, Khalifa University of Science and Technology – sequence: 3 givenname: Satyadileep surname: Dara fullname: Dara, Satyadileep organization: Department of Chemical Engineering, Khalifa University of Science and Technology, The Petroleum Institute – sequence: 4 givenname: Yasser F. surname: AlWahedi fullname: AlWahedi, Yasser F. organization: Center for Catalysis and Separation, Khalifa University of Science and Technology – sequence: 5 givenname: Sulaimon surname: Adegunju fullname: Adegunju, Sulaimon organization: Department of Chemical Engineering, Khalifa University of Science and Technology, The Petroleum Institute – sequence: 6 givenname: Haitham Salmeen surname: Abdulla fullname: Abdulla, Haitham Salmeen organization: Process Engineering & Energy Engineering Division, ADNOC LNG – sequence: 7 givenname: Anjan Kumar surname: Das fullname: Das, Anjan Kumar organization: Process Engineering & Energy Engineering Division, ADNOC LNG – sequence: 8 givenname: Nafisa surname: Yousif fullname: Yousif, Nafisa organization: Process Engineering & Energy Engineering Division, ADNOC LNG – sequence: 9 givenname: Mariam Al surname: Hosani fullname: Hosani, Mariam Al organization: Process Engineering & Energy Engineering Division, ADNOC LNG
BookMark	eNqFkE1v1DAURS3USkxbfgKSJdYZ_BknsKGqClQaWhawtp6c5-Iqsae2BxR-PQlTNixg9TbnXt13zshJTBEJecnZlrOOvWZc9a3s9VYw3m-5NqoT-hnZcC1Yo41WJ2SzMs0KPSdnpTwwxjrd9xtyf-19cAGjmynGbxAdThgrTZ4CdWmaMLsAI41QD3m591DoGB4PYaAZXfqOeab7EWJ9Qy_pp5vb3Wea9jVM4SfUkCKFCONcQrkgpx7Ggi-e7jn5-v76y9XHZnf34ebqctc4KbvaDK0SLZpB94Yx49C0pus7p1AZxT12sneOo0cYvG61Wh-SOMhBgBFeIchz8urYu8_p8YCl2od0yMuIYoXUQnS8VXqh3h4pl1MpGb11of4eXDOE0XJmV7P2j1m7mrVPZpe0_iu9z2GCPP839-6YC9GnPMGPlMfBVpjHlH1e1Idi5b8rfgGNTZJn
CitedBy_id	crossref_primary_10_3390_polym14153133 crossref_primary_10_1016_j_ifacol_2022_10_158 crossref_primary_10_3389_fenrg_2021_798896 crossref_primary_10_1080_00207543_2024_2346185
Cites_doi	10.1016/j.cherd.2009.11.003 10.1201/b14397 10.1016/B978-088415822-6/50008-8 10.1016/j.fluid.2013.07.029 10.1016/j.applthermaleng.2016.11.142 10.1016/j.jngse.2014.12.023 10.1016/j.enconman.2016.06.069 10.1016/j.cherd.2010.09.021 10.1016/j.jngse.2015.01.028 10.1016/0378-3812(91)85038-V 10.1016/j.fuproc.2014.06.012 10.1007/BF02698286 10.1016/j.cherd.2013.01.015 10.1016/0950-4214(91)80029-5 10.1016/S0098-1354(99)80204-X 10.1016/j.jngse.2012.03.003 10.1002/cjce.20359 10.1016/0098-1354(95)87034-2 10.1016/0098-1354(96)00255-4 10.1016/0098-1354(89)85042-2 10.1016/0098-1354(90)87085-4
ContentType	Journal Article
Copyright	2019 Taylor & Francis 2019 2019 Taylor & Francis
Copyright_xml	– notice: 2019 Taylor & Francis 2019 – notice: 2019 Taylor & Francis
DBID	AAYXX CITATION 7QF 7QH 7QO 7QQ 7SC 7SE 7SP 7SR 7T7 7TA 7TB 7U5 7UA 8BQ 8FD C1K F1W F28 FR3 H8D H8G H97 JG9 JQ2 KR7 L.G L7M L~C L~D P64
DOI	10.1080/01496395.2019.1574825
DatabaseName	CrossRef Aluminium Industry Abstracts Aqualine Biotechnology Research Abstracts Ceramic Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) Materials Business File Mechanical & Transportation Engineering Abstracts Solid State and Superconductivity Abstracts Water Resources Abstracts METADEX Technology Research Database Environmental Sciences and Pollution Management ASFA: Aquatic Sciences and Fisheries Abstracts ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database Copper Technical Reference Library Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality Materials Research Database ProQuest Computer Science Collection Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Biotechnology and BioEngineering Abstracts
DatabaseTitle	CrossRef Materials Research Database Aquatic Science & Fisheries Abstracts (ASFA) Professional Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality Materials Business File Water Resources Abstracts Environmental Sciences and Pollution Management Aerospace Database Copper Technical Reference Library Engineered Materials Abstracts Biotechnology Research Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) Advanced Technologies Database with Aerospace ANTE: Abstracts in New Technology & Engineering Civil Engineering Abstracts Aluminium Industry Abstracts Electronics & Communications Abstracts Ceramic Abstracts Aqualine METADEX Biotechnology and BioEngineering Abstracts Computer and Information Systems Abstracts Professional ASFA: Aquatic Sciences and Fisheries Abstracts Solid State and Superconductivity Abstracts Engineering Research Database Corrosion Abstracts
DatabaseTitleList	Materials Research Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering Chemistry Economics
EISSN	1520-5754
EndPage	966
ExternalDocumentID	10_1080_01496395_2019_1574825 1574825
Genre	Article
GroupedDBID	-~X .7F .QJ 0BK 0R~ 123 30N 4.4 5VS AAENE AAGDL AAHIA AAJMT AALDU AAMIU AAPUL AAQRR ABCCY ABFIM ABHAV ABJNI ABLIJ ABPAQ ABPEM ABTAI ABXUL ABXYU ACGEJ ACGFS ACIWK ACPRK ACTIO ADCVX ADGTB ADXPE AEISY AENEX AEOZL AEPSL AEYOC AFKVX AFRAH AFRVT AGDLA AGMYJ AHDZW AIJEM AIYEW AJWEG AKBVH AKOOK ALMA_UNASSIGNED_HOLDINGS ALQZU AQRUH AQTUD AVBZW AWYRJ BLEHA CCCUG CE4 CS3 DGEBU DKSSO DU5 EBS E~A E~B F5P GCUZY GTTXZ H13 HF~ HZ~ H~P IPNFZ J.P KYCEM LJTGL M4Z NA5 NW0 O9- P2P RIG RNANH ROSJB RTWRZ S-T SNACF TASJS TBQAZ TCY TDBHL TEN TFL TFT TFW TTHFI TUROJ TWF UT5 UU3 WH7 ZGOLN ~02 ~S~ AAYXX CITATION 7QF 7QH 7QO 7QQ 7SC 7SE 7SP 7SR 7T7 7TA 7TB 7U5 7UA 8BQ 8FD C1K F1W F28 FR3 H8D H8G H97 JG9 JQ2 KR7 L.G L7M L~C L~D P64
ID	FETCH-LOGICAL-c338t-d6426e7d597007ce767898c4e4741fe839cc1efeadf565463953ed3d2a72f4ea3
IEDL.DBID	TFW
ISICitedReferencesCount	5
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000526702000014&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0149-6395
IngestDate	Wed Aug 13 11:14:31 EDT 2025 Sat Nov 29 04:54:56 EST 2025 Tue Nov 18 22:21:16 EST 2025 Mon Oct 20 23:48:16 EDT 2025
IsPeerReviewed	true
IsScholarly	true
Issue	5
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c338t-d6426e7d597007ce767898c4e4741fe839cc1efeadf565463953ed3d2a72f4ea3
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0001-7616-726X
PQID	2352281645
PQPubID	2045228
PageCount	12
ParticipantIDs	crossref_citationtrail_10_1080_01496395_2019_1574825 crossref_primary_10_1080_01496395_2019_1574825 proquest_journals_2352281645 informaworld_taylorfrancis_310_1080_01496395_2019_1574825
PublicationCentury	2000
PublicationDate	2020-03-23
PublicationDateYYYYMMDD	2020-03-23
PublicationDate_xml	– month: 03 year: 2020 text: 2020-03-23 day: 23
PublicationDecade	2020
PublicationPlace	Abingdon
PublicationPlace_xml	– name: Abingdon
PublicationTitle	Separation science and technology
PublicationYear	2020
Publisher	Taylor & Francis Taylor & Francis Ltd
Publisher_xml	– name: Taylor & Francis – name: Taylor & Francis Ltd
References	CIT0010 CIT0012 CIT0011 CIT0014 CIT0013 Chandra V. (CIT0001) 2006 CIT0016 CIT0015 CIT0018 CIT0017 CIT0019 CIT0021 CIT0020 CIT0022 Fouad W.A. (CIT0026) 2011; 109 Smil V. (CIT0002) 2015 Lee S.H. (CIT0030) 2011; 90 Russell T.F. (CIT0023) 1972 Russell T. (CIT0004) 1977; 75 CIT0003 CIT0025 CIT0024 CIT0005 CIT0027 CIT0007 CIT0029 CIT0006 CIT0028 CIT0009 CIT0008
References_xml	– ident: CIT0021 – ident: CIT0013 doi: 10.1016/j.cherd.2009.11.003 – ident: CIT0007 doi: 10.1201/b14397 – ident: CIT0005 doi: 10.1016/B978-088415822-6/50008-8 – ident: CIT0025 doi: 10.1016/j.fluid.2013.07.029 – ident: CIT0020 doi: 10.1016/j.applthermaleng.2016.11.142 – ident: CIT0017 doi: 10.1016/j.jngse.2014.12.023 – ident: CIT0019 doi: 10.1016/j.enconman.2016.06.069 – ident: CIT0006 – ident: CIT0015 doi: 10.1016/j.cherd.2010.09.021 – ident: CIT0003 doi: 10.1016/j.jngse.2015.01.028 – ident: CIT0022 doi: 10.1016/0378-3812(91)85038-V – ident: CIT0027 doi: 10.1016/j.fuproc.2014.06.012 – ident: CIT0029 doi: 10.1007/BF02698286 – ident: CIT0016 doi: 10.1016/j.cherd.2013.01.015 – ident: CIT0010 doi: 10.1016/0950-4214(91)80029-5 – ident: CIT0008 – ident: CIT0028 doi: 10.1016/S0098-1354(99)80204-X – ident: CIT0018 doi: 10.1016/j.jngse.2012.03.003 – ident: CIT0014 doi: 10.1002/cjce.20359 – volume-title: Natural Gas: Fuel for the 21st Century year: 2015 ident: CIT0002 – ident: CIT0011 doi: 10.1016/0098-1354(95)87034-2 – volume: 75 start-page: 66 issue: 4 year: 1977 ident: CIT0004 publication-title: Oil & Gas Journal – ident: CIT0012 doi: 10.1016/0098-1354(96)00255-4 – volume-title: Fundamentals of Natural Gas: An International Perspective year: 2006 ident: CIT0001 – volume-title: Introduction to Chemical Engineering Analysis year: 1972 ident: CIT0023 – volume: 109 start-page: 112 issue: 18 year: 2011 ident: CIT0026 publication-title: Oil & Gas Journal – volume: 90 start-page: 101 issue: 6 year: 2011 ident: CIT0030 publication-title: Hydrocarbon Processing – ident: CIT0009 doi: 10.1016/0098-1354(89)85042-2 – ident: CIT0024 doi: 10.1016/0098-1354(90)87085-4
SSID	ssj0008599
Score	2.2703807
Snippet	This paper aims at modeling and optimizing a Middle East-based commercial natural gas liquid (NGL) recovery and fractionation plant, using a predictive process...
SourceID	proquest crossref informaworld
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	955
SubjectTerms	Algorithms Approximation Computer simulation Cryogenic cooling distillation Economics Feeds Fractionation Gas temperature gPROMS Heating Liquefied natural gas Liquefied petroleum gas Mixed integer Model accuracy Naphtha Natural gas Natural gas liquids Natural gas prices NGL recovery process Nonlinear programming Optimization Profitability Ratios Recovery Refrigeration Revenue simulation Simulators Steady state models Steam consumption
Title	Efficiency enhancement of a commercial natural gas liquid recovery plant: A MINLP optimization analysis
URI	https://www.tandfonline.com/doi/abs/10.1080/01496395.2019.1574825 https://www.proquest.com/docview/2352281645
Volume	55
WOSCitedRecordID	wos000526702000014&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: PRVAWR databaseName: Taylor & Francis Online Journals customDbUrl: eissn: 1520-5754 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0008599 issn: 0149-6395 databaseCode: TFW dateStart: 19780101 isFulltext: true titleUrlDefault: https://www.tandfonline.com providerName: Taylor & Francis
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LT8MwDI4QQgIOPAaI8VIOXANtkq4tt2naBBJMHMbjVqV5wKTRwboh8e-xuxSBEOIAp56ctrFj-4vsz4QcpxHPA8sFi7RRTEqdMsAqKct5Kwl0Hsq8YmK6vYz7_eT-Pr321YSlL6tEDO3mRBGVr8bDrfKyrog7xaweAmuEhVnpSRjFEmAOeGHI7LGob9C7-_DFSVRNkEQJhiJ1D89Pq3yJTl-4S7_56ioA9db_4dM3yJrPPml7bi6bZMEWDbLcqYe-NcjqJ37CLfLQrQgmsDuT2uIRDQQvE-nYUUXhxU84rgnWq9hB4fmgSjoavsyGhiLQhlPyRp9HoLsz2qZXF_3LazoGF_Xkez-p8owo2-Sm1x10zpmfzMA0QNopM4BaWjY2gEYgx9A2hpCXJlpaCQmKs5B0aR1aB1bqIuyWgj8W1gjDVcydtErskMViXNhdQnMnE6lEKw91KDU3KVfghXRgQhM4EfImkbVGMu1py3F6xigLa3ZTv6cZ7mnm97RJTj7Enue8Hb8JpJ_VnU2rCxM3n26SiV9kD2rbyLwLKDOOqW0CaDTa-8PS-2SFI8IPBOPigCxOJzN7SJb063RYTo4qY38H3qr5bQ
linkProvider	Taylor & Francis
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3JTsMwEB2xScCBHbHjA1dDYjtNwg0hKhCl4lCWm5V4KZVKC7Qg8ffMpAkqQogDnHIaJ7HHM_Msz3sAB2kk8sAJySNjM66USTlilZTnopYEJg9VXjAx3TbiZjO5v0_He2HoWiVhaD8iiihiNW1uOoyursQdUVmPmTWim1npYRjFCnHOJEyTOh0BsFb97jMaJ1GhIUkmnGyqLp6fhvmSn76wl36L1kUKqi_-x8cvwUJZgLKTkccsw4TrrcDsaaX7tgLzYxSFq9A-KzgmqEGTud4D-QidJ7K-ZxnDNz-SYhOOVxCE4rOdDVi38_zasYywNm6Ud_bUxeU7Zifs6qLZuGZ9jFKPZfsny0pSlDW4qZ-1Ts95Kc7ADaLaIbcIXGoutghIsMwwLsaslyZGOYU1indYdxkTOo-O6iNqmMI_ls5KK7JYeOUyuQ5TvX7PbQDLvUpUJmt5aEJlhE1FhoHIBDa0gZeh2ARVLYk2JXM5CWh0dVgRnJZzqmlOdTmnm3D4afY0ou74zSAdX289LM5M_EjgRMtfbHcq59BlFBhoQdVtgoA02vrD0Pswe966aujGRfNyG-YEAf5AciF3YGr48up2Yca8DTuDl73C8z8An4H9kA
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LT9tAEB7RgEp74I1Kee2h16X27jq2uSEgAhGiHGjhtrL3ESKFJJCkUv89M84agaqKQ3vyadb2zuzMfKuZbwC-5YkoIyckT4wtuFIm54hVcl6KZhaZMlZlxcT0s512OtndXd4N1YSTUFZJGNrPiSIqX02He2x9XRH3nbJ6DKwJFWblR3GSKoQ5H2ARU-eEDPumdfvijLOkGiFJIpxk6iaevy3zJjy9IS_9w1lXEai1-h--fQ1WQvrJTub2sg4LbrgBy6f11LcN-PyKoHATeucVwwS1ZzI3vCcLodtENvKsYPjiB5rXhOtV9KD47BUTNug_zvqWEdLGY_KbjQeovGN2wq4vO-0uG6GPegjNn6wIlChb8KN1fnN6wcNoBm4Q0065RdjSdKlFOIJJhnEpxrw8M8opzFC8w6zLmNh5NFOfULsU_rF0VlpRpMIrV8htaAxHQ_cFWOlVpgrZLGMTKyNsLgp0QyaysY28jMUOqFoj2gTechqfMdBxTW8a9lTTnuqwpztw9CI2nhN3vCeQv1a3nlY3Jn4-3kTLd2T3atvQwQdMtKDcNkM4mnz9h6UP4WP3rKXbl52rXfgkCO1Hkgu5B43p08ztw5L5Ne1Png4qu38Gm5b8Qg
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=Efficiency+enhancement+of+a+commercial+natural+gas+liquid+recovery+plant%3A+A+MINLP+optimization+analysis&rft.jtitle=Separation+science+and+technology&rft.au=Murali%2C+Ashwin&rft.au=Berrouk%2C+Abdallah+S.&rft.au=Dara%2C+Satyadileep&rft.au=AlWahedi%2C+Yasser+F.&rft.date=2020-03-23&rft.pub=Taylor+%26+Francis&rft.issn=0149-6395&rft.eissn=1520-5754&rft.volume=55&rft.issue=5&rft.spage=955&rft.epage=966&rft_id=info:doi/10.1080%2F01496395.2019.1574825&rft.externalDocID=1574825
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0149-6395&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0149-6395&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0149-6395&client=summon