SPE Online Education
Examples and Case Studies of Petroleum Data Analytics
Recorded On: 12/01/2020
During the previous webinar (August 19, 2020) some major characteristics and the foundation of Petroleum Data Analytics (PDA) was covered. In this following webinar examples and case studies of Petroleum Data Analytics will be presented. All cases studies are actual projects that were performed for operating and service companies around the world and all include “Blind Validations” performed and confirmed by the operating and service companies to test the capabilities of this technology. The case studies will include examples in drilling, reservoir characteristics, reservoir modeling and reservoir management, completion design and implementation, operational conditions, and ESP.
This webinar is categorized under the Drilling, Reservoir, Completions, Production and Operations and Management technical disciplines.
All content contained within this webinar is copyrighted by Dr. Shahab Mohaghegh and its use and/or reproduction outside the portal requires express permission from Dr. Shahab Mohaghegh.
For more information on this topic, please check out the SPE suggested reading links below. Here you will find topic-related books, publications, and papers for purchase in the SPE Bookstore and OnePetro.
Dr. Shahab Mohaghegh
WEST VIRGINIA UNIVERSITY & INTELLIGENT SOLUTIONS, INC.
Shahab D. Mohaghegh, a pioneer in the application of Artificial Intelligence and Machine Learning in the petroleum industry, is Professor of Petroleum and Natural Gas Engineering at West Virginia University and the president and CEO of Intelligent Solutions, Inc. (ISI). He holds B.S., M.S., and Ph.D. degrees in petroleum and natural gas engineering. He is currently the director of WVU-LEADS (WVU 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 200 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 Petroleum Data-Driven Analytics, SPE’s Technical Section dedicated to AI and machine learning (2011). He has been honored by the U.S. Secretary of Energy for his technical AI-based 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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