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Utah FORGE: Data for 3-D Model Development Lithology, Temperature, Pressure, and Stress
This submission comprises two downloadable .zip archives. Each archive contains spreadsheets with 3-D data and a .txt document describing the data. The Mesh Files .zip download contains data regarding the lithologic contacts of the granitoid and overlying sedimentary basin fill. T...
Podgorney, R. Idaho National Laboratory
Mar 17, 2020
2 Resources
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2 Resources
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Archuleta County CO Lineaments
This layer traces apparent topographic and air-photo lineaments in the area around Pagosa springs in Archuleta County, Colorado. It was made in order to identify possible fault and fracture systems that might be conduits for geothermal fluids.
Geothermal fluids commonly utilize fa...
E., R. Flint Geothermal, LLC
Jan 01, 2012
1 Resources
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Coso Geothermal Spectral Library for Rocks and Minerals
An integrated open mineral spectral library designed to enhance the utility and precision of mineral spectral data for geothermal exploration, developed from a reliable and comprehensive digital dataset for seamless sharing by integrating field data, the USGS spectral library, and...
Cavur, M. et al Mining Engineering Department of Colorado School of Mines
Aug 23, 2023
5 Resources
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5 Resources
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Maui LiDAR
Light Detection and Ranging (LiDAR) data for the Maui study area in South Maui, collected by Watershed Sciences, Inc. (WS) on October 29th, 2011 and from November 7th, 2011 to November 10th, 2011.
Akerley, J. Ormat Nevada Inc
Nov 10, 2011
1 Resources
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Gravity Data for West-Central Colorado
Modeled Bouger-Corrected Gravity data was extracted from the Pan American Center for Earth and Environmental Studies Gravity Database of the U.S. at http://irpsrvgis08.utep.edu/viewers/Flex/GravityMagnetic/GravityMagnetic_CyberShare/ on 2/29/2012. The downloaded text file was open...
Zehner, R. Flint Geothermal, LLC
Apr 06, 2012
1 Resources
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US Low-Temperature EGS Resource Potential Estimate
Shapefile of shallow, low-temperature EGS resources for the United States, and accompanying paper (submitted to GRC 2016) describing the methodology and analysis. These data are part of a very rough estimate created for use in the U.S. Department of Energy Geothermal Technology O...
Mullane, M. et al National Renewable Energy Laboratory
Jun 30, 2016
2 Resources
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2 Resources
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Utah FORGE: Composite 3D Seismic Velocity Model
This is a composite 3D seismic velocity that was constructed from compiled information from several local studies regarding seismic velocities and structural information. This seismic velocity model is provided in NonLinLoc format (slow_len), which is readily usable in NonLinLoc ...
Finger, C. et al University of Utah Seismograph Stations
Feb 09, 2024
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Utah FORGE 2020-2021 Geothermal Energy/EGS Survey and Results
The Utah FORGE project collaborated with the University of Utahs Department of Communication on a Capstone course during Fall Semester 2020. The course created a survey to gauge the general populations knowledge of geothermal energy and Enhanced Geothermal Systems (EGS). The surve...
Yeo, S. and McKasy, M. Energy and Geoscience Institute at the University of Utah
Jul 20, 2021
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Fallon FORGE: 3D Geologic Model
The 3D geologic model for the Fallon for site was constructed in EarthVision software using methods similar to (Moeck et al., 2009, 2010; Faulds et al., 2010b; Jolie et al., 2012, 2015; Hinz et al., 2013a; Siler and Faulds, 2013; Siler et al., 2016a, b) References are included in ...
Blankenship, D. and Siler, D. Sandia National Laboratories
Mar 01, 2018
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3D Model of the Tuscarora Geothermal Area
The Tuscarora geothermal system sits within a ~15 km wide left-step in a major west-dipping range-bounding normal fault system. The step over is defined by the Independence Mountains fault zone and the Bull Runs Mountains fault zone which overlap along strike. Strain is transferre...
E., J. University of Nevada
Dec 31, 2013
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Programs and Code for Geothermal Exploration Artificial Intelligence
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Moraga, J. Colorado School of Mines
Apr 27, 2021
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11 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study Shallow Temperature Survey
The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...
Lowry, T. Nevada Bureau of Mines and Geology
Mar 29, 2018
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Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the...
Smith, J. Cornell University
Oct 29, 2019
6 Resources
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6 Resources
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Washington Play Fairway Analysis Analysis of High Precision GPS Time Series and Strain Rates for the Cascade Range
Global Positioning System (GPS) time series from the National Science Foundation (NSF) Earthscope's Plate Boundary Observatory (PBO) and Central Washington University's Pacific Northwest Geodetic Array (PANGA). GPS station velocities were used to infer strain rates using the "spli...
Swyer, M. AltaRock Energy Inc
Feb 22, 2015
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GEOPHIRES files for DDU techno-economic simulations
During 2017-2019, the U.S. Department of Energy funded six geothermal deep direct-use (DDU) projects to investigate feasibility of DDU for heating, cooling and thermal storage in the United States. In a follow-on study conducted at the National Renewable Energy Laboratory (NREL), ...
Beckers, K. and Kolker, A. National Renewable Energy Laboratory
Mar 31, 2021
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GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...
Vesselinov, V. Los Alamos National Laboratory
Mar 29, 2021
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Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques
This layer contains the areas identified as targets of potential geothermal activity. The Criteria used to identify the target areas include: hot/warm surface exposures modeled from ASTER/Landsat satellite imagery and geological characteristics, alteration mineral commonly associa...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
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Utah FORGE: Geology Map and GIS Data
This archive contains a geology map of the general Roosevelt Hot Springs region, both in PDF and ArcGIS geodatabase formats, that was created as part of the Utah FORGE project.
Kirby, S. et al Energy and Geoscience Institute at the University of Utah
Mar 15, 2018
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Structural Data for the Columbus Salt Marsh Geothermal Area GIS Data
Shapefiles and spreadsheets of structural data, including attitudes of faults and strata and slip orientations of faults.
Detailed geologic mapping of ~30 km2 was completed in the vicinity of the Columbus Marsh geothermal field to obtain critical structural data that would elucid...
E., J. University of Nevada
Dec 31, 2011
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Three Dimensional Thermal Model of Newberry Volcano, Oregon
Final results of a 3D finite difference thermal model of Newberry Volcano, Oregon. Model data are formatted as a text file with four data columns (X, Y, Z, T). X and Y coordinates are in UTM (NAD83 Zone 10N), Z is elevation from mean sea level (meters), T is temperature in deg C. ...
Frone, Z. and Cladouhos, T. AltaRock Energy Inc
Jan 30, 2015
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Hawthorne Nevada Deep Direct-Use Feasibility Study Geophysics GIS Data
The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...
Lowry, T. Nevada Bureau of Mines and Geology
Mar 29, 2018
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Gravity Data from Cove Fort and Dog Valley, Utah Play Fairway Analysis
This is a zipped archive containing an ArcGIS shapefile and a text file containing gravity data covering the Cove Fort and Dog Valley areas in central Utah. Part of the data was acquired by the Utah Geological Survey and part came from PACES (University of Texas El Paso). The attr...
Nash, G. and Hardwick, C. Energy and Geoscience Institute at the University of Utah
Aug 27, 2018
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Utah FORGE: Phase 3 Microgravity Data
A 4D microgravity survey began in early 2019 in order to benchmark surface and subsurface elevations prior to Phase 3 drilling and stimulation campaigns. Microgravity stations are collocated with GPS deformation benchmarks and use the same location survey data. Surveys are underta...
Hardwick, C. Utah Geological Survey
Oct 07, 2020
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Utah FORGE: TEM and Gravity Data
This submission includes a gravity data in text format and as a GIS point shapefile and transient electromagnetic (TEM) raw data. Each text file additionally contains location data (UTM Zone 12, NAD83) and elevation (meters) data for that station.
The gravity data shapefile was i...
Hardwick, C. and Nash, G. Energy and Geoscience Institute at the University of Utah
Feb 05, 2018
3 Resources
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Geochemistry and paleo-geothermal features Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
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...
Faulds, J. and Ayling, B. Nevada Bureau of Mines and Geology
Nov 01, 2020
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