Name: Reservoir Simulations: Machine Learning and Modeling (en Inglés)
Price: 149380.00 CLP
Availability: InStock
Author: Shuyu Sun; Tao Zhang
ISBN: 9780128209578

portada Reservoir Simulations: Machine Learning and Modeling (en Inglés)

Formato

Libro Físico

Editorial

Gulf Professional Publishing

Autor

Shuyu Sun; Tao Zhang

Año

2020

Idioma

Inglés

N° páginas

340

Encuadernación

Tapa Blanda

ISBN13

9780128209578

N° edición

Categorías

Energía

Reservoir Simulations: Machine Learning and Modeling (en Inglés)

Shuyu Sun; Tao Zhang (Autor) · Gulf Professional Publishing · Tapa Blanda

Libro Físico

$ 149.380

$ 248.970

Ahorras: $ 99.590

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Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Reservoir Simulations: Machine Learning and Modeling (en Inglés)"

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.