Using Machine Learning to Optimize Completion Design

Includes a Live Event on 05/01/2019 at 9:30 AM (EDT)

As the industry moves to more complex multi-pad, multi-well completion designs, intelligent completion optimization will require more sophisticated algorithms to improve the decision-making process. This is where the use of analytics and AI can directly drive efficiencies to unlock the production potential of unconventional reservoirs specifically during hydraulic fracturing. The growing volume and availability of completion and production data creates a revolutionary situation where building reservoir potential maps, planning pads and optimizing completion designs begins to benefit from the use of AI methods.

Andrey Bogdan

Head of Analytics & Data Science and Technical Advisor, BJ Services

Dr. Bogdan brings more than 11 years of leadership in technology development, combined expertise in Data Analytics and strong upstream Domain Knowledge, with specialties in the leading and invention of new technologies startup, machine learning, completion optimization and hydraulic fracturing. Dr. Bogdan holds an M.S. and Ph.D. in High Energy Physics from Novosibirsk State University and Budker Institute of Nuclear Physics. He is the inventor of more than 15 patents and patent applications, two trade secrets and has co-authored 29 publications

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