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Memos Relating to High-Priority Geothermal Targets in Colorado Selected for Further Study Flint Geothermal 2012

This dataset contains several memos describing geothermal targets outlined by Flint personnel in Colorado. Phase 1 involved an ASTER and LANDSAT thermal infrared imagery assessment conducted by CIRES of the University of Colorado, which identified areas of warm ground that might i...
Zehner, R. Flint Geothermal, LLC
Feb 27, 2014
3 Resources
0 Stars
Publicly accessible

Graph Theory for Analyzing Pair-wise Data: Application to Interferometric Synthetic Aperture Radar Data

Graph theory is useful for estimating time-dependent model parameters via weighted least-squares using interferometric synthetic aperture radar (InSAR) data. Plotting acquisition dates (epochs) as vertices and pair-wise interferometric combinations as edges defines an incidence gr...
Reinisch, E. University of Wisconsin
Jul 28, 2016
1 Resources
0 Stars
Publicly accessible

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
0 Stars
Publicly accessible

PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files October 30, 2017

This dataset provides links to daily RINEX files for three GPS stations at Brady's Hot Springs as of October 30, 2017. The data is formatted as compressed GNSS RINEX observation files, accessible through .txt files, as well as in links to the complete daily time series data. Addit...
Kreemer, C. University of Wisconsin
Oct 30, 2017
9 Resources
0 Stars
Curated

PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files October 18, 2016

This dataset provides links to daily RINEX files for three GPS stations at Brady's Hot Springs as of October 18, 2016. The data is formatted as compressed GNSS RINEX observation files, accessible through formatted CSV files, as well as in links to the complete daily time series da...
Kreemer, C. University of Wisconsin
Oct 11, 2016
9 Resources
0 Stars
Curated

PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files January 18, 2017

This dataset provides links to daily RINEX files for three GPS stations at Brady's Hot Springs as of January 18, 2017. The data is formatted as compressed GNSS RINEX observation files, accessible through formatted CSV files, as well as in links to the complete daily time series da...
Kreemer, C. University of Wisconsin
Jan 18, 2017
9 Resources
0 Stars
Curated

Exploration Gap Assessment (FY13 Update)

This submission contains an update to the previous Exploration Gap Assessment funded in 2012, which identify high potential hydrothermal areas where critical data are needed (gap analysis on exploration data). The uploaded data are contained in two data files for each data catego...
Esposito, A. et al National Renewable Energy Laboratory
Sep 30, 2013
36 Resources
0 Stars
Publicly accessible

PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files April 14, 2017

This dataset provides links to daily RINEX files for three GPS stations at Brady's Hot Springs as of April 14, 2017. The data is formatted as compressed GNSS RINEX observation files, accessible through formatted CSV files, as well as in links to the complete daily time series data...
Kreemer, C. University of Wisconsin
Apr 14, 2017
9 Resources
0 Stars
Curated

Wister, CA Downhole and Seismic Data

This submission contains Downhole geophysical logs associated with Wister, CA Wells 12-27 and 85-20. The logs include Spontaneous Potential (SP), HILT Caliper (HCAL), Gamma Ray (GR), Array Induction (AIT), and Neutron Porosity (NPOR) data. Also included are a well log, Injection T...
Akerley, J. Ormat Nevada Inc
Dec 18, 2010
16 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
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