Reservoir Simulations: Machine Learning and Modeling
Author:   Shuyu Sun (King Abdullah University of Science and Technology. Thuwal, Saudi Arabia) ,  Tao Zhang (King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia)
Publisher:   Elsevier Science & Technology
ISBN:  

9780128209578


Pages:   340
Publication Date:   15 June 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Reservoir Simulations: Machine Learning and Modeling


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Author:   Shuyu Sun (King Abdullah University of Science and Technology. Thuwal, Saudi Arabia) ,  Tao Zhang (King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia)
Publisher:   Elsevier Science & Technology
Imprint:   Gulf Professional Publishing
Weight:   0.700kg
ISBN:  

9780128209578


ISBN 10:   0128209577
Pages:   340
Publication Date:   15 June 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface 1. Introduction 2. Review of classical reservoir simulation 3. Recent progress in pore scale reservoir simulation 4. Recent progress in Darcy’s scale reservoir simulation 5. Recent progress in multiscale and mesoscopic reservoir simulation 6. Recent progress in machine learning applications in reservoir simulation 7. Recent progress in accelerating flash cal culation using deep learning algorithms

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Author Information

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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