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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
0 Stars
Publicly accessible

Community Geothermal: Subsurface and Seismic Interpretations Carbondale, CO

This report, developed as part of the Community Geothermal Heating and Cooling Design and Deployment initiative, presents subsurface and seismic interpretations for Carbondale and the surrounding Roaring Fork Valley. The analysis incorporates historical well data, seismic data, ge...
Marlin, D. Clean Energy Economy for the Region (CLEER)
Sep 29, 2024
1 Resources
0 Stars
In curation

Nevada Great Basin Play Fairway Analysis Reports & Appendices

This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. ...
Faulds, J. et al Nevada Bureau of Mines and Geology
Oct 28, 2015
3 Resources
0 Stars
Publicly accessible

Oilwell Conversion (Well API 121913310501) to Geothermal Heat Storage Well for Flexible Electricity Storage

Geothermal growth is limited by a lack of geographically dispersed high-temperature thermal resources and high initial upfront investment in characterization and well construction. This project intended to address the challenges of energy supply intermittency and enhance grid resi...
Malkewicz, N. et al University of Illinois
May 05, 2021
8 Resources
0 Stars
Publicly accessible