Unsupervised and Physics-Informed Machine Learning Analyses for Characterization of Energy Production from Unconventional Reservoirs
V.V. Vesselinov
Machine Learning in Oil & Gas Conference2020
Summary
This presentation covers unsupervised and physics-informed machine learning analyses for characterizing energy production from unconventional reservoirs. It discusses the integration of geological, geochemical, and geophysical data with machine learning techniques to identify hidden patterns and assess resource potential.