Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
- Nevada Bureau of Mines and Geology
This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project. A submission linking the full GitHub repository for our machine learning Jupyter Notebooks will appear in the related datasets section of this page once available.
- Research Organization:
- DOE Geothermal Data Repository; Nevada Bureau of Mines and Geology
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Contributing Organization:
- Nevada Bureau of Mines and Geology
- DOE Contract Number:
- EE0008762
- OSTI ID:
- 1832126
- Report Number(s):
- 1352
- Availability:
- GDRHelp@ee.doe.gov
- Country of Publication:
- United States
- Language:
- English
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