PNNL-Led GeoThermalCloud Project Uses Machine Learning to Hunt Hidden Geothermal Resources
December 09, 2025
December 09, 2025
WASHINGTON, Dec. 9 (TNSLrpt) -- Pacific Northwest National Laboratory, working with Los Alamos National Laboratory and other partners, has contributed to report PNNL-34975, titled 'GeoThermalCloud Cloud Fusion of Big Data and MultiPhysics Models using Machine Learning for Discovery, Exploration, and Development of Hidden Geothermal Resources,' authored by Luke Frash, Bulbul Ahmmed, Maruti K. Mudunuru, Velimir V. Vesselinov, Satish Karra, Hao Wu, Chadwick Holmes, Yan Pan, Spencer Manley . . .
