Examples and Case Studies of Petroleum Data Analytics

Includes a Live Event on 12/01/2020 at 10:00 AM (EST)

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.

SPE Bookstore:

Data Driven Reservoir Modeling

OnePetro Papers:

Subsurface Analytics Case Study; Reservoir Simulation and Modeling of Highly Complex Offshore Field in Malaysia, Using Artificial Intelligent and Machine Learning

Frac-Hit Dynamic Modeling using Artificial Intelligence & Machine Learning

Data-Driven vs. Traditional Reservoir Numerical Models: A Case Study Comparison of Applicability, Practicality and Performance

Shale Descriptive Analytics; Which Parameters are Controlling Production in Shale

Contribution of Artificial Intelligence and Machine Learning in the U.S. DOE’s Efforts during the aftermath of Deepwater Horizon

Shale Analytics: Making Production and Operational Decisions Based on Facts: A Case Study in Marcellus Shale

Mapping the Natural Fracture Network in Marcellus Shale using Artificial Intelligence

Smart Proxy: an Innovative Reservoir Management Tool; Case Study of a Giant Mature Oilfield in the UAE

Understanding the Impact of Rock Properties and Completion Parameters on Estimated Ultimate Recovery in Shale

Data-Driven Reservoir Management of a Giant Mature Oilfield in the Middle East

Production Management Decision Analysis Using AI-Based Proxy Modeling of Reservoir Simulations – A Look-Back Case Study

Production Analysis of a Niobrara Field Using Intelligent Top-Down Modeling

Intelligent Production Modeling Using Full Field Pattern Recognition

An Integrated Technique for Production Data Analysis (PDA) with Application to Mature Fields

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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Webinar
12/01/2020 at 10:00 AM (EST)   |  90 minutes
12/01/2020 at 10:00 AM (EST)   |  90 minutes
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Certificate
0.15 CEU/1.5 PDH credits  |  Certificate available
0.15 CEU/1.5 PDH credits  |  Certificate available