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Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements
The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. FORGE project 3-2535 is planning on using a casing source ...
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
Dec 01, 2022
5 Resources
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5 Resources
0 Stars
Curated
Envisat Track 349 and Sentinel-1A Track 64 Interferometric Synthetic Aperture Radar Data of Coso Geothermal Field, California, USA, 2004-2016
This submission contains tarred pair directories for interferometric synthetic aperture radar (InSAR) data covering Coso Geothermal Field in California, USA.
Explanation of pair subdirectories:
Pairs are formed using the InSAR processing software GMT5SAR (Sandwell et al., 2011).
...
Reinisch, E. and Feigl, K. University of Wisconsin
Jun 25, 2019
4 Resources
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Publicly accessible
4 Resources
0 Stars
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Utah FORGE: Report and Associated Data from Measuring and Modeling Deformation 2018 through 2024
The report provided here describes research activities between August 16th, 2018 and July 30th, 2024. The goals of the research activities are to conduct an Interferometric Synthetic Aperture Radar (InSAR) analysis and Ground Surface Deformation Modeling at the Utah FORGE site. In...
Feigl, K. and Batzli, S. University of Wisconsin Madison
Aug 16, 2018
6 Resources
0 Stars
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6 Resources
0 Stars
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DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Pauling, H. et al National Renewable Energy Laboratory
Jun 30, 2023
22 Resources
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Publicly accessible
22 Resources
0 Stars
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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
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible
Utah FORGE: Satellite Imagery and Digital Aerial Photography
This is a link to the USGS Global Visualization Viewer which can be used to locate and download a variety of remotely sensed data including the ASTER multispectral data that was used in the Utah FORGE project.
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 02, 2016
1 Resources
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Publicly accessible
1 Resources
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Publicly accessible
Utah FORGE 3-2535: Joint Imaging of Fracture Growth and Estimation of Fracture Properties During EGS Development 2024 Annual Workshop Presentation
This is a presentation on the Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development by Lawrence Berkeley National Laboratory, presented by David Alumbaugh. This is a video pres...
Alumbaugh, D. Energy and Geoscience Institute at the University of Utah
Aug 25, 2024
1 Resources
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1 Resources
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Exploration Best Practices on OpenEI
This is an electronic database detailing different types of, various phases of, best practices for, and cost and time associated with geothermal exploration techniques. The groups of exploration techniques included in the database are Data and Modeling Techniques, Downhole Techniq...
Young, K. National Renewable Energy Laboratory
Sep 20, 2013
2 Resources
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2 Resources
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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
11 Resources
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Publicly accessible
11 Resources
0 Stars
Publicly accessible
Brady Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-proces...
Moraga, J. et al Colorado School of Mines
Apr 27, 2021
3 Resources
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Publicly accessible
3 Resources
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Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there ar...
Moraga, J. et al Colorado School of Mines
Apr 27, 2021
3 Resources
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Publicly accessible
3 Resources
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Publicly accessible
DEEPEN Data Catalog for Magmatic Geothermal Systems in the United States
This data catalog contains information related to the Training Site Analysis for the Geothermica project "DE-risking Exploration of geothermal Plays in magmatic ENvironments (DEEPEN)." The DEEPEN project aims to reduce exploration risk for geothermal fluids in magmatic systems by ...
Kolker, A. et al National Renewable Energy Laboratory
Sep 30, 2021
1 Resources
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1 Resources
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Utah FORGE: Phase 2C Topical Report
This is the topical report that wraps up the work and results achieved during Utah FORGE Phase 2C. The zip file includes several folders containing (1) an overview; (2) the results; (3) the lessons learned; and (4) the conclusions. It also contains a folder containing appendices i...
Moore, J. et al Energy and Geoscience Institute at the University of Utah
Dec 11, 2019
2 Resources
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Publicly accessible
2 Resources
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Validation of Innovative Exploration Technologies for Newberry Volcano: LiDAR of Newberry Volcano
Validation of Innovative Exploration Technologies for Newberry Volcano: LiDAR of Newberry Volcano 2012
Jaffe, T. Davenport Newberry Holdings, LLC
Jan 01, 2012
3 Resources
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3 Resources
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Newberry EGS Well Logs, Earthquakes, Maps, Cross-Sections, and LiDAR Datasets
Datasets and information used to characterize the subsurface of Newberry and support modeling efforts. Includes sources for well logs, earthquakes, maps & cross-sections, and LiDAR/DEM
Rose, K. National Energy Technology Laboratory
Apr 22, 2016
1 Resources
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1 Resources
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West Flank Coso FORGE Digital Elevation Model and Geology Shapefiles
Geologic ArcGIS data of West Flank Coso, Ca FORGE site from a unpublished map by Rich Whitmarsh. The zip file includes a DEM, hillshade and four shapefiles of the general outlines of FORGE area.
Blankenship, D. Sandia National Laboratories
Dec 21, 2015
1 Resources
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1 Resources
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Utah FORGE: Area Terrain Slope Data
This archive contains a terrain slope image, in units of degrees, of the Utah FORGE area near Roosevelt Hot springs. The data was derived from 0.5 m resolution LiDAR DEM data and is in a GeoTiff format. It was processed using ArcGIS.
Nash, G. Energy and Geoscience Institute at the University of Utah
Dec 10, 2018
1 Resources
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Publicly accessible
1 Resources
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Play Fairway Analysis CA-NV-OR: San Emidio Geophysical Data
Various geophysical exploration data for San Emidio KGRA
M, C. University of California
Aug 05, 2015
6 Resources
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6 Resources
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Utah FORGE: AGRC GIS Database for the State of Utah
This is a link to the Automated Geographic Reference Center (AGRC) that houses GIS data for the state of Utah. This includes geoscience, cadastre, elevation and terrain, digital aerial photography, roads, aquifer data, etc. Several GIS datasets used in the Utah FORGE project origi...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 02, 2016
1 Resources
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1 Resources
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Utah FORGE: InSAR Data
This is the InSAR dataset used in Utah FORGE Phase 2C to augment ground deformation monitoring. It is accompanied by a README.txt file which contains an explanation of the data in the .zip archive.
Feigl, K. et al Energy and Geoscience Institute at the University of Utah
Jul 01, 2019
2 Resources
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2 Resources
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Utah FORGE: Area LiDAR Bare Earth DEM Mosaic
This is a mosaic of 154 bare earth DEM panels (0.5 m resolution) acquired during Phase II of the Utah FORGE project. The DEM covers the western Mineral Mountains and adjoining basin including the Roosevelt Hot Springs area. The coordinates are in UTM Zone 12, NAD 83 and elevation ...
Nash, G. Energy and Geoscience Institute at the University of Utah
Aug 07, 2018
1 Resources
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1 Resources
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Utah FORGE: Phase 3 InSAR Study Results
Ground movement is evaluated through analysis of Interferometric Synthetic Aperture Radar (InSAR) interferograms. Results indicate there has been no detectable ground movement at millimeter scale. The zipped file in this submission contains a report, maps, and results from the InS...
Feigl, K. and Batzli, S. Department of Geoscience University of Wisconsin-Madison
Sep 24, 2020
1 Resources
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1 Resources
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Utah FORGE: GPS Data Deformation Monitoring
This data bundle contains raw GPS data files and resulting data using Trimble Business Center and NOAA OPUS to process the GPS data in spreadsheets with station coordinates and elevations. A map of station locations is included along with the final processing report which includes...
Erickson, B. and McKean, A. Energy and Geoscience Institute at the University of Utah
Jun 24, 2019
2 Resources
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2 Resources
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Utah FORGE: Area 0.5 m LiDAR Data
During the Fall of 2016 AGRC and the Utah Geological Survey acquired ~205 square miles of 8 points per meter Quality Level 1 LiDAR of The Frontier Observatory for Research in Geothermal Energy (FORGE) area around Milford, Utah in Beaver and Millard Counties in western Utah. The 0....
Allis, R. Energy and Geoscience Institute at the University of Utah
Oct 01, 2016
1 Resources
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1 Resources
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Multiple Data Sets Converge on a Geologic Structural Model for Glass Buttes, Oregon Geothermal Prospect, Patrick Walsh, et al, 2010 American Geophysical Union Poster Session
Multiple data sets converge on a geologic structural model for Glass Buttes, Oregon geothermal prospect, Patrick Walsh, Brigette Martini, Chet Lide, Darrick Boschmann, John DIlles, Andrew Meigs, 2010
Ormat Nevada, Zonge Geophysical, Oregon State University
American Geophysical Uni...
Walsh, P. et al Ormat Nevada Inc
Jan 01, 2010
1 Resources
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1 Resources
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