Machine learning analyses for characterization of oil, gas and water production from unconventional tight-rock reservoirs
V.V. Vesselinov
AGU Fall Meeting2019
Summary
This presentation covers machine learning analyses for characterizing oil, gas, and water production from unconventional tight-rock reservoirs. It discusses the integration of geological, geochemical, and geophysical data with machine learning techniques to identify hidden patterns and assess resource potential.