Advanced Data-Driven Analytics for Reservoir and Production Management of Shale Assets

Topics Include:

How to treat data in the context of data-driven analytics
Organize end prepare the data for predictive modeling
How to make sure that the physics of fluid flow in shale in honored during the predictive analytics
How to build predictive models using data as the main building block
How to avoid over-training (memorization) while promote generalization

Learning Level

Intermediate

Why Attend?

Application of data-driven analytics and predictive modeling in the oil and gas industry is fairly new. A handful of researchers and practitioners have concentrated their efforts on providing the next generation of tools that incorporates this technology, for the petroleum industry.

These advance techniques are an integrated part of many new technologies used by everyone on their day-to-day lives such as smart automatic-transmission in many cars, detecting explosives in the airport security systems, providing smooth rides in subway systems and preventing fraud in use of credit cards. They are extensively used in the financial market to predict chaotic stock market behavior, or optimize financial portfolios.

Who Should Attend

This course is intended for completion engineers, production engineers and managers, reservoir engineers, geoscientists, asset managers, and team leaders.

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