A Progress Report on GeoThermalCloud: Framework An Open-Source Machine Learning Based Tool for Discovery, Exploration, and Development of Hidden Geothermal Resources
B. Ahmmed, M.K. Mudunuru, L.P. Frash, V.V. Vesselinov
Stanford Geothermal Workshop, Stanford, CA2022
Summary
This progress report presents GeoThermalCloud as an open-source machine-learning framework for geothermal resource discovery, exploration, and development. The platform is designed to analyze large and diverse geothermal datasets, assimilate model simulations, identify hidden geothermal signatures, guide data acquisition, and support lower-risk exploration and production decisions through tools developed under its resource-exploration and enhanced-geothermal-system workflows.