Smart Proxy Modeling, 9781032151151
Paperback
Replicate complex simulations quickly using AI and Machine Learning.

Smart Proxy Modeling

artificial intelligence and machine learning in numerical simulation

  • Paperback

    190 pages

  • Release Date

    4 October 2024

Summary

Smart Proxy Modeling: Unleash the Power of AI in Numerical Simulation

Numerical simulation models are vital in all engineering disciplines, allowing us to model physical phenomena, understand their workings, identify problems, and optimize behavior. Smart Proxy Models offer the ability to replicate these numerical simulations with remarkable accuracy, executable on a laptop in minutes, simplifying the use of complex simulations that might otherwise take many hours.

This book…

Book Details

ISBN-13:9781032151151
ISBN-10:1032151153
Author:Shahab D. Mohaghegh
Publisher:Taylor & Francis Ltd
Imprint:CRC Press
Format:Paperback
Number of Pages:190
Release Date:4 October 2024
Weight:344g
Dimensions:234mm x 156mm
About The Author

Shahab D. Mohaghegh

Shahab D. Mohaghegh, a pioneer in the application of Artificial Intelligence and Machine Learning in the Exploration and Production industry, is Professor of Petroleum and Natural Gas Engineering at West Virginia University (WVU) and the president and CEO of Intelligent Solutions, Inc. (ISI). He is the director of WVU-LEADS (Laboratory for Engineering Application of Data Science).

Including more than 30 years of research and development in the petroleum engineering application of Artificial Intelligence and Machine Learning, he has authored three books (Shale Analytics – Data Driven Reservoir Modeling – Application of Data-Driven Analytics for the Geological Storage of CO2), more than 230 technical papers and carried out more than 60 projects for independents, NOCs and IOCs. He is a SPE Distinguished Lecturer (2007 and 2020) and has been featured four times as the Distinguished Author in SPE’s Journal of Petroleum Technology (JPT 2000 and 2005). He is the founder of SPE’s Technical Section dedicated to AI and machine learning (Petroleum Data-Driven Analytics, 2011). He has been honored by the U.S. Secretary of Energy for his AI-based technical contribution in the aftermath of the Deepwater Horizon (Macondo) incident in the Gulf of Mexico (2011) and was a member of U.S. Secretary of Energy’s Technical Advisory Committee on Unconventional Resources in two administrations (2008-2014). He represented the United States in the International Standard Organization (ISO) on Carbon Capture and Storage technical committee (2014-2016).

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