Reservoir Simulations: Machine Learning and Modeling

Shuyu Sun, Tao Zhang ... 330 pages - Publisher: Gulf Professional; (June, 2020) ... AmazonSIN: B08BFG7ZNF - Language: English.

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 simulation + World leading modeling and algorithms to study flow and transport behaviors in reservoirs, as well as the application of machine learning + Gain practical knowledge with hand-on trainings on modeling and simulation through well designed case studies and numerical examples.

Shuyu Sun, Tao Zhang, Reservoir Simulations: Machine Learning and Modeling

... Engineering is an interesting and vast field. New technologies are discovered or invented every day, and the older ones must get updated In the past, engineers used to search libraries or go through various books to keep up with the recent technological advancements or find the solution to various problems. Nowadays, it is possible to do so with the help of just one click.

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