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Geologic Map and GIS Data for the Wabuska Geothermal Area

Wabuska-ESRI geodatabase (ArcGeology v1.3): Contains all the geologic map data, including faults, contacts, folds, veins, dikes, unit polygons, and attitudes of strata. List of stratigraphic units and stratigraphic correlation diagram. One cross-section.
Hinz, N. University of Nevada
Sep 30, 2013
1 Resources
0 Stars
Publicly accessible

Geologic Map and GIS Data for the Salt Wells Geothermal Area

Salt Wells-ESRI Geodatabase (ArcGeology v1.3): Contains all the geologic map data, including faults, contacts, folds, dikes, unit polygons, and attitudes of strata and faults. List of stratigraphic units and stratigraphic correlation diagram. Locations of 40Ar/39Ar samples.
Hinz, N. University of Nevada
Oct 31, 2011
1 Resources
0 Stars
Publicly accessible

Geologic Map and GIS Data for the Tuscarora Geothermal Area

Tuscarora-ESRI Geodatabase (ArcGeology v1.3): Contains all the geologic map data, including faults, contacts, folds, unit polygons, and attitudes of strata and faults. List of stratigraphic units and stratigraphic correlation diagram. Detailed unit descriptions of stratigraphic...
E., J. University of Nevada
Dec 31, 2013
1 Resources
0 Stars
Publicly accessible

Geologic Map of the Neal Hot Springs Geothermal Area GIS Data

Neal Hot Springs-ESRI Geodatabase (ArcGeology v1.3): Contains all the geologic map data, including faults, contacts, folds, unit polygons, and attitudes of strata and faults. List of stratigraphic units and stratigraphic correlation diagram. Three cross-sections. Locations of ...
E., J. University of Nevada
Mar 31, 2013
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Faults, Fractures, and Lineaments in the Mineral Mountains

This submission includes a shapefile of the Opal Mound Fault, and multiple datasets of lineaments mapped in the Mineral Mountains which overlook the Utah FORGE site, hyperlinked to rose diagrams in a polygon grid shapefile.
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 09, 2016
2 Resources
0 Stars
Publicly accessible

GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

This dataset contains example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) framework, specifically for the fictional Kahunanui (KHN) geothermal power plant. The dataset includes synthetic time series data, confi...
Taverna, N. et al Upflow
Jan 30, 2023
10 Resources
0 Stars
In curation

EGS Collab Experiment 1: Circulation Testing

These data and test descriptions comprise a chilled circulation test conducted at the 164' fracture in the EGS Collab Experiment 1 testbed on the 4850 ft level of the Sanford Underground Research Facility. Descriptions of the meta data, design drawings for the flow testing system,...
Knox, H. et al Lawrence Berkeley National Laboratory
Apr 01, 2019
11 Resources
0 Stars
Publicly accessible

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Buster, G. et al Upflow
Jun 30, 2021
11 Resources
0 Stars
Publicly accessible

Newberry EGS Demonstration: Well 55-29 Stimulation Data 2014

The Newberry Volcano EGS Demonstration in central Oregon, a 5 year project begun in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ru...
Cladhouhos, T. et al AltaRock Energy Inc
Sep 03, 2015
54 Resources
0 Stars
Publicly accessible
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  • The GDR is the submission point for all data collected from research funded by the U.S. Department of Energy's Geothermal Technologies Office.
  • Content is available under Creative Commons Attribution 4.0 unless otherwise noted.

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