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Appendices for Geothermal Exploration Artificial Intelligence Report
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
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Publicly accessible
12 Resources
0 Stars
Publicly accessible
Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields
Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas. The analysis was performed using ENVI's Target Detection process against USGS library spectra for Chalcedony, Kaolinite, Gypsum, Hematite and Epsomite...
Moraga, J. Colorado School of Mines
Oct 01, 2021
4 Resources
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4 Resources
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Geothermal Mineral Alterations in Brady and Desert Peak
Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas.
This is the post-processing results and final analysis results of applying target detection algorithms and then fusing the results.
Moraga, J. Colorado School of Mines
May 15, 2021
22 Resources
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22 Resources
0 Stars
Publicly accessible
Fallon FORGE: Geophysics and Geochemistry
The data is associated to the Fallon FORGE project and includes mudlogs for all wells used to characterize the subsurface, as wells as gravity, magnetotelluric, earthquake seismicity, and temperature data from the Navy GPO and Ormat. Also included are geologic maps from the USGS a...
Blankenship, D. Sandia National Laboratories
May 23, 2016
5 Resources
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Publicly accessible
5 Resources
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Publicly accessible