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Utah FORGE: Well 16A(78)-32 Core Analysis Results
This dataset features petrographic, X-Ray Diffraction (XRD), and Scanning Electron Microscopy Analyses of core samples from well 16A(78)-32, which serves as the injection well for the Utah FORGE Enhanced Geothermal System (EGS) project. In addition to an overview of the analysis,...
Jones, C. et al Energy and Geoscience Institute at the University of Utah
Sep 22, 2023
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
2016 Passive Seismic Imaging of the Dixie Valley Geothermal Well Field for EGS Favorability and Fault Mapping
This submission provides reports on the results of seismic data analyses, statistical data sets of rock properties under the DVGWF, GIS data for new maps of EGS favorability, and a link to raw seismogram data archived by the IRIS-DMS.
Louie, J. et al University of Nevada, Reno
Nov 01, 2015
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
Fallon, NV FORGE well 21-31 Lithology, Mineral, Image Log, and Injection Test data
Attached is 5 datasets collected from Fallon FORGE well 21-31 located in Churchill County, Nevada collected and interpreted between Feburary 2018-January 2020. This submission includes 1) new lithology interpretation derived from petrographic thin sections of sidewall cores taken ...
Kraal, K. and Ayling, B. Sandia National Laboratories
May 30, 2020
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Tularosa Basin Play Fairway Analysis: Weights of Evidence; Mineralogy, and Temperature Anomaly Maps
This submission has two shapefiles and a tiff image. The weights of evidence analysis was applied to data representing heat of the earth and fracture permeability using training sites around the Southwest; this is shown in the tiff image. A shapefile of surface temperature anomali...
Brandt, A. University of Utah
Nov 15, 2015
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible