Reservoir Simulations - Machine Learning and Modeling

About the author

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 papersTao 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

Product details

• Authors: Shuyu Sun, Shuyu (King Abdullah University of Science an Sun, Shuyu (King Abdullah University of Science and Technology. Thuwal Sun, Tao Zhang, Tao (King Abdullah University of Science and Technology (KAUST) Zhang, Zhang Tao
• Publisher: ELSEVIER SCIENCE BV
• Languages: English
• Product format: Paperback / Softback
• Released: 30.06.2020
• EAN: 9780128209578
• ISBN: 978-0-12-820957-8
• No. of pages: 340
• Subjects: Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering; TECHNOLOGY & ENGINEERING / Petroleum, Erdöltechnik, Science, SCIENCE / Energy, TECHNOLOGY & ENGINEERING / Power Resources / Fossil Fuels, Fossil fuel technologies, Petroleum technology, Energy industries and utilities, Gas technology