Accelerating Completion Optimization in the Unconventional Reservoirs Through Machine Learning Coupled to Reservoir Characterization ///

Piyush Pankaj, Principal Reservoir Engineer - Team Lead, Schlumberger

Using machine learning and data analytics for oil and gas business has been the talk of the town in the recent years. The study presented in the talk is focused on coupling the traditional reservoir characterization and bridging it to data science and machine learning to enable almost real time well completion optimization. 

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