Physics-Informed Machine Learning of Geothermal, Geomechanical, Geochemical Process
V.V. Vesselinov, T. Kliphuis
AGU Fall Meeting2022
Summary
This presentation describes physics-informed machine-learning methods for geothermal, geomechanical, and geochemical problems. It positions physics-informed ML alongside supervised and unsupervised approaches and emphasizes embedding scientific knowledge into ML workflows to improve efficiency, robustness, and interpretability for geoscience applications.