Reservoir Simulations: Machine Learning and Modeling - Tapa blanda

Sun

 
9780128209578: Reservoir Simulations: Machine Learning and Modeling
Tapa blanda
ISBN 10: 0128209577 ISBN 13: 9780128209578
Editorial: Gulf Professional Publishing, 2020

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca de los autores

Shuyu Sun is currently the Director of the Computational Transport Phenomena Laboratory (CTPL) at King Abdullah University of Science and Technology (KAUST) and a Co-Director of the Center for Subsurface Imaging and Fluid Modeling consortium (CSIM) at KAUST. He obtained his Ph.D. degree in computational and applied mathematics from The University of Texas at Austin. His research includes the modelling and simulation of porous media flow at Darcy scales, pore scales and molecular scales. Professor Sun has published about 400 articles, including 220+ refereed journal papers

Tao Zhang is currently a PhD candidate at King Abdullah University of Science and Technology (KAUST), Earth Science and Engineering, researching computational fluid dynamics and thermodynamics in reservoirs, as well as geological data analysis. Tao’s research specialties also include deep learning and AI in reservoir simulation. He earned a master’s and a Bachelor of Engineering in storage and transportation of oil and gas, both from China University of Petroleum in Beijing

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Editorial
Gulf Professional Publishing
Año de publicación
2020
Idioma
Inglés
ISBN 10 
0128209577
ISBN 13 
9780128209578
Encuadernación
Tapa blanda
Número de páginas
340
Contacto del fabricante
no disponible
Persona responsable
no disponible