Oilfield Data Mining

Management and Information Reservoir Descriptions and Dynamics Production and Operations


There is often valuable information (gems) hidden in the volumes of data that is routinely collected in the oilfield. This course will help petroleum professionals (reservoir engineers, production engineers and G&G specialists) learn how these valuable gems can be harvested from data such as production/injection history, completion, well log, well test, seismic, etc., using state-of-the-art data mining and pattern recognition technologies adapted specifically to the exploration and production industry.

Who Should Attend

This course is designed for reservoir, completion, and production engineers of operating companies as well as service company personnel involved with planning, completion, and operating wells.


Shahab D. Mohaghegh

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 BS, 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.