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Artus, Vincent, Durlofsky, Louis J., Onwunalu, Jérôme, Aziz, Khalid (2006) Optimization of nonconventional wells under uncertainty using statistical proxies. Computational Geosciences, 10. 389-404 doi:10.1007/s10596-006-9031-9

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Reference TypeJournal (article/letter/editorial)
TitleOptimization of nonconventional wells under uncertainty using statistical proxies
JournalComputational Geosciences
AuthorsArtus, VincentAuthor
Durlofsky, Louis J.Author
Onwunalu, JérômeAuthor
Aziz, KhalidAuthor
Year2006 (November 30)Volume10
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s10596-006-9031-9Search in ResearchGate
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Mindat Ref. ID8416213Long-form Identifiermindat:1:5:8416213:7
GUID0
Full ReferenceArtus, Vincent, Durlofsky, Louis J., Onwunalu, Jérôme, Aziz, Khalid (2006) Optimization of nonconventional wells under uncertainty using statistical proxies. Computational Geosciences, 10. 389-404 doi:10.1007/s10596-006-9031-9
Plain TextArtus, Vincent, Durlofsky, Louis J., Onwunalu, Jérôme, Aziz, Khalid (2006) Optimization of nonconventional wells under uncertainty using statistical proxies. Computational Geosciences, 10. 389-404 doi:10.1007/s10596-006-9031-9
In(n.d.) Computational Geosciences Vol. 10. Springer Science and Business Media LLC

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Onwunalu, Jérôme E., Durlofsky, Louis J. (2010) Application of a particle swarm optimization algorithm for determining optimum well location and type. Computational Geosciences, 14. 183-198 doi:10.1007/s10596-009-9142-1
Sarma, Pallav, Durlofsky, Louis J., Aziz, Khalid, Chen, Wen H. (2006) Efficient real-time reservoir management using adjoint-based optimal control and model updating. Computational Geosciences, 10. 3-36 doi:10.1007/s10596-005-9009-z
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de Brito, Daniel U., Durlofsky, Louis J. (2021) Field development optimization using a sequence of surrogate treatments. Computational Geosciences, 25 (1) 35-65 doi:10.1007/s10596-020-09985-y
Vo, Hai X., Durlofsky, Louis J. (2015) Data assimilation and uncertainty assessment for complex geological models using a new PCA-based parameterization. Computational Geosciences, 19. 747-767 doi:10.1007/s10596-015-9483-x
Wolfsteiner, Christian, Durlofsky, Louis J., Aziz, Khalid (2003) Computational Geosciences, 7. Springer Science and Business Media LLC. 61-82 doi:10.1023/a:1022431729275
Kim, Yong Do, Durlofsky, Louis J. (2023) Convolutional – recurrent neural network proxy for robust optimization and closed-loop reservoir management. Computational Geosciences, 27 (2) 179-202 doi:10.1007/s10596-022-10189-9
Trehan, Sumeet, Durlofsky, Louis J. (2018) Machine-learning-based modeling of coarse-scale error, with application to uncertainty quantification. Computational Geosciences, 22. 1093-1113 doi:10.1007/s10596-018-9740-x
Aliyev, Elnur, Durlofsky, Louis J. (2017) Multilevel Field Development Optimization Under Uncertainty Using a Sequence of Upscaled Models. Mathematical Geosciences, 49 (3). 307-339 doi:10.1007/s11004-016-9643-0
 
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