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Appalachian Basin Play Fairway Analysis Gravity, Magnetics, and Earthquake Data
This archived dataset contains magnetic and gravity imaging data for the Appalachian Basin, compiled using Poisson Wavelet Multiscale Edge Detection, referred to as 'worm' for brevity, and stored in a PostGIS database, along with shapefiles and CSVs of relevant data. The archive ...
Horowitz, F. Cornell University
Jul 20, 2016
1 Resources
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1 Resources
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EGS Collab Experiment 2: 4100 Foot Level Elastic Property Data
Static and dynamic elastic properties (Young's modulus, Shear Modulus, P-wave Modulus, and Poisson's Ratio) of amphibolites and rhyolites from the TV4100 and TH4100 boreholes at the Sanford Underground Research Laboratory (SURF). Elastic properties include Young's modulus, Poisson...
Jahnke, B. et al Lawrence Berkeley National Laboratory
Dec 18, 2020
4 Resources
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4 Resources
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Utah FORGE: Well 16A(78)-32 2022 Stimulation Microseismic Report
This is a Utah FORGE well 16A(78)-32 stimulation microseismic detection and event location report from Silixa LLC. The report covers the digital acoustic sensing (DAS) data acquisition and analysis used to study microseismic events during the April, 2022 stimulations at well 16A(7...
LLC, S. Energy and Geoscience Institute at the University of Utah
Sep 26, 2022
1 Resources
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Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields
Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas. The analysis was performed using ENVI's Target Detection process against USGS library spectra for Chalcedony, Kaolinite, Gypsum, Hematite and Epsomite...
Moraga, J. Colorado School of Mines
Oct 01, 2021
4 Resources
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4 Resources
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Distributed Acoustic Sensing (DAS) for Periodic Hydraulic Tests: Laboratory Data
These data were collected in the laboratory located at California State University Long Beach. They consist of DAS data collected from a fiber optic cable placed in a tank of water, subjected to oscillating head. These tests are described in the article linked below.
Coleman, T. California State University
Feb 27, 2015
5 Resources
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5 Resources
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Deep Direct-Use Feasibility Study Computed Tomography (CT)-scanned data Analysis for the Tuscarora Sandstone at the National Energy Technology Laboratory
The computed tomography (CT) facilities at the National Energy Technology Laboratory (NETL) Morgantown, West Virginia site were used to characterize core of the Tuscarora Sandstone from a vertical well in Preston County WV, the Preston-119 from a depth of 7,165 to 7,438 ft. The pr...
Brown, S. et al West Virginia University
Jan 10, 2020
11 Resources
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11 Resources
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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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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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3 Resources
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Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (po...
Moraga, J. et al Colorado School of Mines
Apr 27, 2021
3 Resources
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3 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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11 Resources
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Colorado Potential Geothermal Pathways
This layer contains the weakened basement rocks. Isostatic gravity was utilized to identify structural basin areas, characterized by gravity low values reflecting weakened basement rocks. Together interpreted regional fault zones and basin outlines define geothermal "exploration f...
E., R. Flint Geothermal, LLC
Feb 01, 2012
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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
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12 Resources
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Geothermal Mineral Alterations in Brady and Desert Peak
Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas.
This is the post-processing results and final analysis results of applying target detection algorithms and then fusing the results.
Moraga, J. Colorado School of Mines
May 15, 2021
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22 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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Programs and Code for Subsurface and MultiSite Geothermal Exploration Artificial Intelligence
This dataset provides Python scripts supporting both subsurface and surface geothermal exploration AI models developed for the project "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning." It includes two main components: (1) scripts fo...
Demir, E. and Duzgun, S. Colorado School of Mines
Sep 01, 2023
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2 Resources
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Shallow (2-meter) Temperature Surveys in Colorado
Shallow temperature surveys are useful in early-stage geothermal exploration to delineate surface outflow zones, with the intent to identify the source of upwelling, usually a fault. Detailed descriptions of the 2-meter survey method and equipment design can be found in Coolbaugh ...
E., R. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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ASTER Thermal Anomalies in Western Colorado
This layer contains the areas identified as areas of anomalous surface temperature from ASTER satellite imagery. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. Areas that had temperature greater than 2o, and ar...
E., R. Flint Geothermal, LLC
Jan 01, 2013
1 Resources
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Three-Component Long Offset Surface Seismic Survey Data Used to Find Large Aperture Fractures in Geothermal Resources San Emidio Geothermal Resource Area
P and S-wave datasets and associated report studying the ability to use three-component long offset surface seismic surveys to find large aperture fractures in geothermal resources at the San Emidio geothermal resource area in Washoe County, Nevada.
Warren, I. U.S. Geothermal Inc.
Sep 15, 2010
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4 Resources
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Spatially Referenced Geodatabase for Coso Geothermal Area
Mineral, Temperature, Gravity, and Fault Density maps in the Coso Geothermal Field in California.
Demir, E. et al Colorado School of Mines
Dec 01, 2022
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14 Resources
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Alamosa and Saguache Counties, Colorado, as Identified from ASTER Thermal Data
This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the greater th...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
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Utah FORGE 2439: A Multi-Component Approach to Characterizing In-Situ Stress
Core-based in-situ stress estimation, Triaxial Ultrasonic Velocity (labTUV) data, and Deformation Rate Analysis (DRA) data for Utah FORGE well 16A(78)-32 using triaxial ultrasonic velocity and deformation rate analysis. Report documenting a multi-component approach to characterizi...
Bunger, A. et al Battelle Memorial Institute
Dec 13, 2022
4 Resources
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4 Resources
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Areas of Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data
This layer contains areas of anomalous surface temperature in Archuleta County identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming ...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
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Areas of Anomalous Surface Temperature in Dolores County, Colorado, as Identified from ASTER Thermal Data
This layer contains areas of anomalous surface temperature in Dolores County identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming so...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
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Areas of Anomalous Surface Temperature in Garfield County, Colorado, as Identified from ASTER Thermal Data
This layer contains areas of anomalous surface temperature in Garfield County identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming s...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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Areas of Anomalous Surface Temperature in Routt County, Colorado, as Identified from ASTER Thermal Data
This layer contains areas of anomalous surface temperature in Routt County identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming sola...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
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