Mapping geothermal resources using AI/ML
T. Kliphuis, H. Jasperson, V.V. Vesselinov
New Mexico Geological Society Annual Spring Meeting2024DOI 10.56577/SM-2024.2983
Summary
This work presents GeoTGo, a cloud-based interactive software platform applying supervised, unsupervised, and physics-informed machine learning methods for geothermal exploration and resource characterization. The platform processes diverse geological, geochemical, and geophysical datasets through joint processing workflows, preloaded with predictive models and regional datasets for the Great Basin and New Mexico to facilitate community-based geothermal resource development.