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Machine Learning Techniques in Reservoir Characterization - Applications & Pitfalls

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Streamed live on May 13, 2021
3:59:04

Data driven modeling is becoming a key differentiation to unlock higher recoveries from existing fields as well as identify new opportunities. The availability of data and democratization of these advanced algorithms is changing the landscape of subsurface workflows – helping create as well as improve existing ones. We are in an exciting phase in the industry where access as well as ease of using these advanced tools is transforming decision making in organizations. Fatai Anifowoshe PhD, Machine modelling Research Scientist at Saudi Aramco will highlight various ML Techniques used in Reservoir studies. Thereafter, Destiny Otto, a Python Developer/Technical Lead at TechPet Global will take us through a tutorial on Petrophysical Analysis in Python.

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Machine Learning Techniques in Reservoir Characterization - Applications & Pitfalls | NatokHD