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Data-Driven (Fact-Based) Reservoir Modeling of Mature Assets

Recorded On: 03/17/2014

In this webinar a novel approach to reservoir modeling that is based on measured data is presented. This technology that has been named “Top-Down Modeling – TDM" integrates fundamentals of reservoir and production engineering with latest advances in machine learning and predictive analytics. It is a formalized, comprehensive, empirical, and multi-variant, reservoir model, developed solely based on field measurements (logs, cores, well tests, seismic, etc.) and historical production/injection data. Presented by Shahab D. Mohaghegh

Shahab Mohaghegh

WEST VIRGINIA UNIVERSITY & INTELLIGENT SOLUTIONS, INC.

Shahab D. Mohaghegh, a pioneer in the application of Artificial Intelligence and Data Mining in the Exploration and Production industry, is the president and CEO of Intelligent Solutions, Inc. (ISI) and Professor of Petroleum and Natural Gas Engineering at West Virginia University. He holds B.S., MS, and PhD degrees in petroleum and natural gas engineering

He has authored more than 150 technical papers and carried out more than 50 projects for NOCs and IOCs. He is a SPE Distinguished Lecturer and has been featured, four times, in the Distinguished Author Series of SPE's Journal of Petroleum Technology (JPT). He is the founder of SPE's Petroleum Data-Driven Analytics Technical Section that focuses on the application of AI and data mining in the upstream. He has been honored by the U.S. Secretary of Energy for his technical contribution in the aftermath of the Deepwater Horizon (Macondo) incident in the Gulf of Mexico and was a member of U.S. Secretary of Energy's Technical Advisory Committee on Unconventional Resources (2008-2014). He represents the United States in the International Standard Organization (ISO) on Carbon Capture and Storage.

Shahab D. Mohaghegh
Intelligent Solutions, Inc. & West Virginia University

Shahab D. Mohaghegh is the president and CEO of Intelligent Solutions, Inc. (ISI) and Professor of Petroleum and Natural Gas Engineering at West Virginia University. A pioneer in the application of Artificial Intelligence and Data Mining in the Exploration and Production industry, he holds B.S., MS, and PhD degrees in petroleum and natural gas engineering.

He has authored more than 150 technical papers and carried out more than 50 projects many of them with major international companies. He is a SPE Distinguished Lecturer and has been featured in the Distinguished Author Series of SPE’s Journal of Petroleum Technology (JPT) four times. He is the program chair of Petroleum Data-Driven Analytics, SPE’s Technical Section dedicated to data mining. He has been honored by the U.S. Secretary of Energy for his technical contribution in the aftermath of the Deepwater Horizon (Macondo) incident in the Gulf of Mexico and is a member of U.S. Secretary of Energy’s Technical Advisory Committee on Unconventional Resources. Shahab is the designated U.S. liaison (WG4) representing the Unites States in the International Organization for Standardization (ISO) for CO2 capture and storage.

0.15 CEUs offered.

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