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dc.contributor.authorSun, Shuyu
dc.contributor.authorZhang, Tao
dc.date.accessioned2021-03-04T10:06:39Z
dc.date.available2021-03-04T10:06:39Z
dc.date.issued2020
dc.identifier.citationReservoir Simulations. (2020). doi:10.1016/c2019-0-02019-5
dc.identifier.isbn9780128209578
dc.identifier.doi10.1016/c2019-0-02019-5
dc.identifier.urihttp://hdl.handle.net/10754/667881
dc.description.abstractReservoir Simulation: Machine Learning and Modeling helps the engineer step into the current and most popular advances in reservoir simulation, learning from current experiments and speeding up potential collaboration opportunities in research and technology. This reference explains common terminology, concepts, and equations through multiple figures and rigorous derivations, better preparing the engineer for the next step forward in a modeling project and avoid repeating existing progress. Well-designed exercises, case studies and numerical examples give the engineer a faster start on advancing their own cases. Both computational methods and engineering cases are explained, bridging the opportunities between computational science and petroleum engineering. This book delivers a critical reference for today’s petroleum and reservoir engineer to optimize more complex developments.
dc.publisherElsevier BV
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00001-0
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00002-2
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00003-4
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00004-6
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00005-8
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00006-x
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00007-1
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00008-3
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00009-5
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00010-1
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00011-3
dc.relation.haspartDOI:10.1016/b978-0-12-820957-8.00012-5
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/C20190020195
dc.titleReservoir Simulations: Machine Learning and Modeling
dc.typeBook
dc.contributor.departmentComputational Transport Phenomena Lab
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
kaust.personSun, Shuyu
kaust.personZhang, Tao
display.relations<b>Has Part:</b><br/> <ul><li><i>[Book Chapter]</i> <br/> Sun, S., & Zhang, T. (2020). Recent progress in accelerating flash calculation using deep learning algorithms. Reservoir Simulations, 289–322. doi:10.1016/b978-0-12-820957-8.00007-1. DOI: <a href="https://doi.org/10.1016/b978-0-12-820957-8.00007-1" >10.1016/b978-0-12-820957-8.00007-1</a> Handle: <a href="http://hdl.handle.net/10754/667774" >10754/667774</a></a></li></ul>


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