GeoThermalCloud: Machine Learning for Discovery, Exploration, and Development of Hidden Geothermal Resources
V.V. Vesselinov, B. Ahmmed, M. Mudunuru, S. Karra, R. Middleton
Stanford Geothermal Workshop, Stanford, CA2022
Summary
This workshop paper presents GeoThermalCloud as an open-source, cloud-based machine-learning framework for geothermal resource discovery, exploration, and development. The platform is designed to fuse diverse geothermal datasets with multi-physics models, discover hidden geothermal signatures, prioritize high-value data acquisition, and reduce the cost and risk of geothermal resource assessment.