Unsupervised and Physics-Informed Machine Learning of Big Data
V.V. Vesselinov
Workshop: Applications of Big Data and High-Performance Computing in Earth Sciences, AGU Fall Meeting, San Francisco, CA (invited)2019
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.