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portada Reservoir Simulations: Machine Learning and Modeling
Type
Physical Book
Year
2020
Language
English
Pages
340
Format
Paperback
ISBN13
9780128209578
Edition No.
1
Categories

Reservoir Simulations: Machine Learning and Modeling

Shuyu Sun; Tao Zhang (Author) · Gulf Professional Publishing · Paperback

Reservoir Simulations: Machine Learning and Modeling - Shuyu Sun; Tao Zhang

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Synopsis "Reservoir Simulations: Machine Learning and Modeling "

Reservoir 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.Understand commonly used and recent progress on definitions, models, and solution methods used in reservoir simulationWorld leading modeling and algorithms to study flow and transport behaviors in reservoirs, as well as the application of machine learningGain practical knowledge with hand-on trainings on modeling and simulation through well designed case studies and numerical examples.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

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