Machine learning for creation of generalized lumped parameter tank models of low temperature geothermal reservoir systems
•Automating generation of tank models. The subject material should be of interest to reservoir engineers and operators of geothermal systems who are concerned with use of efficient modelling methods, optimal production planning and introduction of machine learning techniques to the geothermal sector...
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| Vydáno v: | Geothermics Ročník 70; s. 62 - 84 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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01.11.2017
Elsevier Science Ltd |
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| ISSN: | 0375-6505, 1879-3576 |
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| Abstract | •Automating generation of tank models. The subject material should be of interest to reservoir engineers and operators of geothermal systems who are concerned with use of efficient modelling methods, optimal production planning and introduction of machine learning techniques to the geothermal sector.•The automated procedure described in this paper utilizes a complexity reduction algorithm to reduce a fully linked model to a simpler model via a process of merging of tanks and removal of connections between them.•We introduce a switch-back method whereby the parameter values describing the “best” model obtained from the complexity reduction algorithm, is fed back into starting estimates for parameters of a fully linked, T tank model
Lumped parameter tank models have gained renewed interest in recent years as an alternative tool for geothermal reservoir analysis and production planning. The models can be structured in various ways regarding the number of tanks, connections between the tanks and the parameters representing the physical properties of the geothermal system. It usually requires a time consuming and difficult process of trials and errors to manually decide the optimal configuration of a tank model. Inspired by recent development in the use of machine learning methods, we propose a method for automatically generating accurate and computationally feasible generalized tank models for isothermal, single phase, reservoirs. This is an extension of earlier work on complexity reduction of generalized tank models (Li et al., 2016). Here, a recursive “switch-back” method is constructed to maximize prediction accuracy of the model. It is also shown how the K-means clustering algorithm can be used to aggregate production wells in generalized tank models. One synthetic example and one field application from t Reykir geothermal fields in Iceland are used to illustrate the effectiveness of these methods. |
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| AbstractList | •Automating generation of tank models. The subject material should be of interest to reservoir engineers and operators of geothermal systems who are concerned with use of efficient modelling methods, optimal production planning and introduction of machine learning techniques to the geothermal sector.•The automated procedure described in this paper utilizes a complexity reduction algorithm to reduce a fully linked model to a simpler model via a process of merging of tanks and removal of connections between them.•We introduce a switch-back method whereby the parameter values describing the “best” model obtained from the complexity reduction algorithm, is fed back into starting estimates for parameters of a fully linked, T tank model
Lumped parameter tank models have gained renewed interest in recent years as an alternative tool for geothermal reservoir analysis and production planning. The models can be structured in various ways regarding the number of tanks, connections between the tanks and the parameters representing the physical properties of the geothermal system. It usually requires a time consuming and difficult process of trials and errors to manually decide the optimal configuration of a tank model. Inspired by recent development in the use of machine learning methods, we propose a method for automatically generating accurate and computationally feasible generalized tank models for isothermal, single phase, reservoirs. This is an extension of earlier work on complexity reduction of generalized tank models (Li et al., 2016). Here, a recursive “switch-back” method is constructed to maximize prediction accuracy of the model. It is also shown how the K-means clustering algorithm can be used to aggregate production wells in generalized tank models. One synthetic example and one field application from t Reykir geothermal fields in Iceland are used to illustrate the effectiveness of these methods. Lumped parameter tank models have gained renewed interest in recent years as an alternative tool for geothermal reservoir analysis and production planning. The models can be structured in various ways regarding the number of tanks, connections between the tanks and the parameters representing the physical properties of the geothermal system. It usually requires a time consuming and difficult process of trials and errors to manually decide the optimal configuration of a tank model. Inspired by recent development in the use of machine learning methods, we propose a method for automatically generating accurate and computationally feasible generalized tank models for isothermal, single phase, reservoirs. This is an extension of earlier work on complexity reduction of generalized tank models (Li et al., 2016). Here, a recursive “switch-back” method is constructed to maximize prediction accuracy of the model. It is also shown how the K-means clustering algorithm can be used to aggregate production wells in generalized tank models. One synthetic example and one field application from t Reykir geothermal fields in Iceland are used to illustrate the effectiveness of these methods. |
| Author | Stefánsson, H. Li, Y. Júlíusson, E. Valfells, Á. Pálsson, H. |
| Author_xml | – sequence: 1 givenname: Y. surname: Li fullname: Li, Y. email: yuxi15@ru.is organization: Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Ministry of Education, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, China – sequence: 2 givenname: E. surname: Júlíusson fullname: Júlíusson, E. organization: School of Science and Engineering, Reykjavík University, Menntavegi 1, IS-105 Reykjavík, Iceland – sequence: 3 givenname: H. surname: Pálsson fullname: Pálsson, H. organization: Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Hjardarhagi 2-6, IS-107 Reykjavik, Iceland – sequence: 4 givenname: H. surname: Stefánsson fullname: Stefánsson, H. organization: School of Science and Engineering, Reykjavík University, Menntavegi 1, IS-105 Reykjavík, Iceland – sequence: 5 givenname: Á. surname: Valfells fullname: Valfells, Á. organization: School of Science and Engineering, Reykjavík University, Menntavegi 1, IS-105 Reykjavík, Iceland |
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| CitedBy_id | crossref_primary_10_1016_j_petrol_2021_108588 crossref_primary_10_1016_j_geothermics_2023_102824 crossref_primary_10_1016_j_geothermics_2022_102401 crossref_primary_10_1016_j_petlm_2022_10_005 crossref_primary_10_1016_j_geothermics_2022_102348 crossref_primary_10_3390_en11123368 crossref_primary_10_1007_s40808_023_01696_4 crossref_primary_10_1016_j_eswa_2021_115006 crossref_primary_10_1016_j_renene_2024_122102 crossref_primary_10_1016_j_energy_2020_118817 crossref_primary_10_1038_s41598_022_22832_7 crossref_primary_10_1016_j_geothermics_2021_102174 |
| Cites_doi | 10.1016/j.geothermics.2010.08.001 10.1016/j.geothermics.2014.01.015 10.1016/0375-6505(90)90059-K 10.1016/j.geothermics.2015.01.006 10.1214/aos/1176344136 10.1016/j.geothermics.2005.09.001 10.1109/TAC.1974.1100705 10.4208/cicp.2009.v6.p85 10.1016/j.rser.2014.12.020 10.1016/j.geothermics.2010.10.004 10.1109/TIT.1982.1056489 10.1016/j.rser.2009.06.020 |
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| Keywords | Complexity reduction algorithm Lumped-parameter models Complexity analysis Geothermal reservoir modeling Information criterion Model selection Machine learning K-means clustering algorithm Switch-back method |
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| References | Gunnlaugsson (bib0065) 2008 Li, Egill, Halldór, Hlynur, Ágúst (bib0075) 2016 Axelsson (bib0030) 2010; 39 Gunnlaugsson, Frimannson, Sverrisson (bib0060) 2000 Hjartarson, Axelsson, Hauksdottir (bib0070) 2002 Lloyd (bib0080) 1982; 28 SigurÐardottir, Valfells, Pálsson, Stefansson (bib0110) 2015; 55 Türeyen, Akyapı (bib0120) 2011; 40 Barber (bib0035) 2012 Wu, Guan (bib0135) 2009; 6 Axelsson (bib0020) 1989 Grant, Donaldson, Bixley (bib0055) 2011 Shortall, Davidsdottir, Axelsson (bib0100) 2015; 44 Bishop (bib0040) 2006 Sarak, Onur, Satman (bib0090) 2005; 34 Akaike (bib0005) 1974; 19 Onur, Sarak, Türeyen, Cinar, Satman (bib0085) 2008 Türeyen, Kırmac, Onur (bib0125) 2014; 51 Alkan, Satman (bib0010) 1990; 19 Erdogdu (bib0050) 2009; 13 SigurÐardottir, Pálsson, Valfells, Stefansson (bib0105) 2010 Schwarz (bib0095) 1978; 6 SigurÐardottir (bib0115) 2013 Axelsson (bib0025) 1991 Burnham, Anderson (bib0045) 2013 Thorvaldsson, Pálsson, Stefansson, Valfells (bib0130) 2010 Axelsson, Björnsson, Quijano (bib0015) 2005 Akaike (10.1016/j.geothermics.2017.05.009_bib0005) 1974; 19 SigurÐardottir (10.1016/j.geothermics.2017.05.009_bib0110) 2015; 55 Alkan (10.1016/j.geothermics.2017.05.009_bib0010) 1990; 19 Grant (10.1016/j.geothermics.2017.05.009_bib0055) 2011 Schwarz (10.1016/j.geothermics.2017.05.009_bib0095) 1978; 6 Hjartarson (10.1016/j.geothermics.2017.05.009_bib0070) 2002 Axelsson (10.1016/j.geothermics.2017.05.009_bib0020) 1989 Wu (10.1016/j.geothermics.2017.05.009_bib0135) 2009; 6 Lloyd (10.1016/j.geothermics.2017.05.009_bib0080) 1982; 28 Gunnlaugsson (10.1016/j.geothermics.2017.05.009_bib0060) 2000 Li (10.1016/j.geothermics.2017.05.009_bib0075) 2016 Barber (10.1016/j.geothermics.2017.05.009_bib0035) 2012 Burnham (10.1016/j.geothermics.2017.05.009_bib0045) 2013 Thorvaldsson (10.1016/j.geothermics.2017.05.009_bib0130) 2010 Gunnlaugsson (10.1016/j.geothermics.2017.05.009_bib0065) 2008 Türeyen (10.1016/j.geothermics.2017.05.009_bib0125) 2014; 51 Onur (10.1016/j.geothermics.2017.05.009_bib0085) 2008 Erdogdu (10.1016/j.geothermics.2017.05.009_bib0050) 2009; 13 Axelsson (10.1016/j.geothermics.2017.05.009_bib0025) 1991 Axelsson (10.1016/j.geothermics.2017.05.009_bib0030) 2010; 39 Bishop (10.1016/j.geothermics.2017.05.009_bib0040) 2006 Sarak (10.1016/j.geothermics.2017.05.009_bib0090) 2005; 34 Axelsson (10.1016/j.geothermics.2017.05.009_bib0015) 2005 Shortall (10.1016/j.geothermics.2017.05.009_bib0100) 2015; 44 SigurÐardottir (10.1016/j.geothermics.2017.05.009_bib0105) 2010 SigurÐardottir (10.1016/j.geothermics.2017.05.009_bib0115) 2013 Türeyen (10.1016/j.geothermics.2017.05.009_bib0120) 2011; 40 |
| References_xml | – volume: 6 start-page: 461 year: 1978 end-page: 464 ident: bib0095 article-title: Estimating the dimension of a model publication-title: Ann. Stat. – year: 2008 ident: bib0085 article-title: A new non-isotermal lumped-parameter model for low temperature, liquid dominated geothermal reservoirs and its applications publication-title: Proceedings, Thirty-Third Work-shop on Geothermal Reservoir Engineering – year: 1991 ident: bib0025 article-title: Reservoir engineering studies of small low temperature hydrothermal systems in Iceland publication-title: Proceedings, Sixteenth Workshop on Geothermal Reservoir Engineering – year: 2013 ident: bib0045 article-title: Model Selection and Multi-model Inference: A Practical Information-Theoretic Approach – volume: 51 start-page: 300 year: 2014 end-page: 311 ident: bib0125 article-title: Assessment of uncertainty in future performance predictions by lumped parameter models for single phase liquid geothermal systems publication-title: Geothermics – year: 2006 ident: bib0040 article-title: Pattern Recognition and Machine Learning – year: 2011 ident: bib0055 article-title: Geothermal Reservoir Engineering – volume: 6 start-page: 85 year: 2009 end-page: 108 ident: bib0135 article-title: A generalized numerical approach for modeling multiphase flow and transport in fractured porous media publication-title: Comm. Comput. Phys. – volume: 19 start-page: 716 year: 1974 end-page: 723 ident: bib0005 article-title: A new look at the statistical model identification publication-title: IEEE Trans. Autom. Control – volume: 19 start-page: 469 year: 1990 end-page: 479 ident: bib0010 article-title: A new lumped parameter model for geothermal reservoirs in the presence of carbon dioxide publication-title: Geothermics – year: 1989 ident: bib0020 article-title: Simulation of pressure response data from geothermal reservoirs by lumped parameter models publication-title: Proceedings, Fourteenth Work-shop on Geothermal Reservoir Engineering – year: 2010 ident: bib0130 article-title: Tools to evaluate strategies for utilization of low temperature geothermal resources publication-title: Proceedings World Geothermal Congress – volume: 55 start-page: 171 year: 2015 end-page: 181 ident: bib0110 article-title: Mixed inter optimization model for utilizing a geothermal reservoir publication-title: Geothermics – year: 2010 ident: bib0105 article-title: Optimizing Revenue of a Geothermal System with respect to operation and expansion publication-title: Proceedings World Geothermal Congress – volume: 34 start-page: 728 year: 2005 end-page: 755 ident: bib0090 article-title: Lumped-parameter models for low-temperature geothermal fields and their application publication-title: Geothermics – year: 2013 ident: bib0115 article-title: Optimization for sustainable utilization of low temperature geothermal systems publication-title: Ph.D. Disseration of Reykjavik University, Reykjavik, Iceland, December – volume: 28 start-page: 129 year: 1982 end-page: 137 ident: bib0080 article-title: Least squares quantization in PCM publication-title: IEEE Trans. Inf. Theory – volume: 44 start-page: 391 year: 2015 end-page: 406 ident: bib0100 article-title: Geothermal energy for sustainable development: a review of sustainability impacts and assessment frameworks publication-title: Renew. Sustain. Energy Rev. – year: 2016 ident: bib0075 article-title: Complexity analysis of generalized tank models publication-title: GRC Transactions – year: 2005 ident: bib0015 article-title: Reliability of lumped parameter modeling of pressure changes in geothermal reservoirs publication-title: Proceedings World Geothermal Congress – volume: 40 start-page: 50 year: 2011 end-page: 57 ident: bib0120 article-title: A generalized non-isothermal tank model for liquid dominated geothermal reservoirs publication-title: Geothermics – volume: 13 start-page: 2535 year: 2009 end-page: 2543 ident: bib0050 article-title: A snapshot of geothermal energy potential and utilization in Turkey publication-title: Renew. Sustain. Energy Rev. – year: 2008 ident: bib0065 article-title: District heating in reykjavik past −present −future publication-title: Geothermal Training Programme, Orkustofnun, Grensasvegur 9, Reykjavik, Iceland, August 26–27 – year: 2002 ident: bib0070 article-title: Reassessment of the thelamork low temperature geothermal system in N-Iceland following successful deepening of well lthn-10 publication-title: Proceedings, Twenty-Seventh Work- shop on Geothermal Reservoir Engineering – volume: 39 start-page: 283 year: 2010 end-page: 291 ident: bib0030 article-title: Sustainable geothermal utilization–Case histories; definitions; research issues and modelling publication-title: Geothermics – year: 2000 ident: bib0060 article-title: District heating in Reykjavik–70 years experence publication-title: Proceedings World Geothermal Congress – year: 2012 ident: bib0035 article-title: Bayesian Reasoning and Machine Learning – volume: 39 start-page: 283 year: 2010 ident: 10.1016/j.geothermics.2017.05.009_bib0030 article-title: Sustainable geothermal utilization–Case histories; definitions; research issues and modelling publication-title: Geothermics doi: 10.1016/j.geothermics.2010.08.001 – volume: 51 start-page: 300 year: 2014 ident: 10.1016/j.geothermics.2017.05.009_bib0125 article-title: Assessment of uncertainty in future performance predictions by lumped parameter models for single phase liquid geothermal systems publication-title: Geothermics doi: 10.1016/j.geothermics.2014.01.015 – year: 2013 ident: 10.1016/j.geothermics.2017.05.009_bib0045 – year: 2008 ident: 10.1016/j.geothermics.2017.05.009_bib0085 article-title: A new non-isotermal lumped-parameter model for low temperature, liquid dominated geothermal reservoirs and its applications – volume: 19 start-page: 469 year: 1990 ident: 10.1016/j.geothermics.2017.05.009_bib0010 article-title: A new lumped parameter model for geothermal reservoirs in the presence of carbon dioxide publication-title: Geothermics doi: 10.1016/0375-6505(90)90059-K – year: 1991 ident: 10.1016/j.geothermics.2017.05.009_bib0025 article-title: Reservoir engineering studies of small low temperature hydrothermal systems in Iceland – year: 1989 ident: 10.1016/j.geothermics.2017.05.009_bib0020 article-title: Simulation of pressure response data from geothermal reservoirs by lumped parameter models – year: 2013 ident: 10.1016/j.geothermics.2017.05.009_bib0115 article-title: Optimization for sustainable utilization of low temperature geothermal systems publication-title: Ph.D. Disseration of Reykjavik University, Reykjavik, Iceland, December – volume: 55 start-page: 171 year: 2015 ident: 10.1016/j.geothermics.2017.05.009_bib0110 article-title: Mixed inter optimization model for utilizing a geothermal reservoir publication-title: Geothermics doi: 10.1016/j.geothermics.2015.01.006 – volume: 6 start-page: 461 year: 1978 ident: 10.1016/j.geothermics.2017.05.009_bib0095 article-title: Estimating the dimension of a model publication-title: Ann. Stat. doi: 10.1214/aos/1176344136 – year: 2008 ident: 10.1016/j.geothermics.2017.05.009_bib0065 article-title: District heating in reykjavik past −present −future – volume: 34 start-page: 728 year: 2005 ident: 10.1016/j.geothermics.2017.05.009_bib0090 article-title: Lumped-parameter models for low-temperature geothermal fields and their application publication-title: Geothermics doi: 10.1016/j.geothermics.2005.09.001 – year: 2000 ident: 10.1016/j.geothermics.2017.05.009_bib0060 article-title: District heating in Reykjavik–70 years experence – year: 2010 ident: 10.1016/j.geothermics.2017.05.009_bib0105 article-title: Optimizing Revenue of a Geothermal System with respect to operation and expansion – volume: 19 start-page: 716 year: 1974 ident: 10.1016/j.geothermics.2017.05.009_bib0005 article-title: A new look at the statistical model identification publication-title: IEEE Trans. Autom. Control doi: 10.1109/TAC.1974.1100705 – volume: 6 start-page: 85 year: 2009 ident: 10.1016/j.geothermics.2017.05.009_bib0135 article-title: A generalized numerical approach for modeling multiphase flow and transport in fractured porous media publication-title: Comm. Comput. Phys. doi: 10.4208/cicp.2009.v6.p85 – year: 2005 ident: 10.1016/j.geothermics.2017.05.009_bib0015 article-title: Reliability of lumped parameter modeling of pressure changes in geothermal reservoirs – year: 2011 ident: 10.1016/j.geothermics.2017.05.009_bib0055 – volume: 44 start-page: 391 year: 2015 ident: 10.1016/j.geothermics.2017.05.009_bib0100 article-title: Geothermal energy for sustainable development: a review of sustainability impacts and assessment frameworks publication-title: Renew. Sustain. Energy Rev. doi: 10.1016/j.rser.2014.12.020 – volume: 40 start-page: 50 year: 2011 ident: 10.1016/j.geothermics.2017.05.009_bib0120 article-title: A generalized non-isothermal tank model for liquid dominated geothermal reservoirs publication-title: Geothermics doi: 10.1016/j.geothermics.2010.10.004 – volume: 28 start-page: 129 year: 1982 ident: 10.1016/j.geothermics.2017.05.009_bib0080 article-title: Least squares quantization in PCM publication-title: IEEE Trans. Inf. Theory doi: 10.1109/TIT.1982.1056489 – year: 2006 ident: 10.1016/j.geothermics.2017.05.009_bib0040 – year: 2012 ident: 10.1016/j.geothermics.2017.05.009_bib0035 – year: 2002 ident: 10.1016/j.geothermics.2017.05.009_bib0070 article-title: Reassessment of the thelamork low temperature geothermal system in N-Iceland following successful deepening of well lthn-10 – year: 2016 ident: 10.1016/j.geothermics.2017.05.009_bib0075 article-title: Complexity analysis of generalized tank models – volume: 13 start-page: 2535 year: 2009 ident: 10.1016/j.geothermics.2017.05.009_bib0050 article-title: A snapshot of geothermal energy potential and utilization in Turkey publication-title: Renew. Sustain. Energy Rev. doi: 10.1016/j.rser.2009.06.020 – year: 2010 ident: 10.1016/j.geothermics.2017.05.009_bib0130 article-title: Tools to evaluate strategies for utilization of low temperature geothermal resources |
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| SubjectTerms | Algorithms Artificial intelligence Cluster analysis Clustering Complexity analysis Complexity reduction algorithm Geothermal power Geothermal reservoir modeling Information criterion K-means clustering algorithm Learning algorithms Low temperature Lumped-parameter models Machine learning Mathematical models Model accuracy Model selection Parameters Physical properties Production planning Recursive methods Reservoirs Switch-back method Tanks Thermal energy Vector quantization |
| Title | Machine learning for creation of generalized lumped parameter tank models of low temperature geothermal reservoir systems |
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