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Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations
This a report for the project "Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations". Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key too...
Templeton, D. et al Lawrence Livermore National Laboratory
Apr 18, 2014
1 Resources
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1 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
1 Resources
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1 Resources
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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
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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Utah FORGE 3-2417: DAS Microseismic Event Catalog from the 16A/16B Circulation Test, 2023
This preliminary data archive includes the relocated microseismic event catalog, 1D velocity model, and methods report from DAS acquisition conducted during the Well 16A and 16B circulation test (July 19th and 20th, 2023) at Utah FORGE. The methods report describes all processing ...
Vera Rodriguez, I. et al Rice University
Jun 12, 2024
4 Resources
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4 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
22 Resources
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22 Resources
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Sedimentary Geothermal Feasibility in Nevada, Western Utah, Colorado, and the Gulf Coast Region of Texas Final Report
The objectives of this project were to (1) perform a literature review of sedimentary geothermal resources, (2) identify data sources and develop data-collection methodologies that characterize selected resources, (3) screen sedimentary basins and formations for sedimentary geothe...
Johnston, H. et al National Renewable Energy Laboratory
Jul 01, 2020
1 Resources
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1 Resources
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Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32
This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...
Lu, G. et al University of Pittsburgh
Aug 30, 2024
2 Resources
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2 Resources
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Marone, C. et al Pennsylvania State University
May 14, 2021
3 Resources
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3 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
2 Resources
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2 Resources
1 Stars
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New Mexico Play Fairway Analysis: New Mexico Available Wells for Geochemical Sampling
This is a map package that is used to show the wells in New Mexico that may be available for geochemical sampling.
Pepin, J. New Mexico Institute of Mining and Technology
Nov 15, 2015
1 Resources
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1 Resources
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New Mexico Play Fairway Analysis: Conservative Ion Water Chemistry Data and Chalcedony Geothermometry
Compilation of boron, lithium, bromine, and silica data from wells and springs throughout New Mexico from a wide variety of sources. The chalcedony geothermometry calculation is included in this file.
Kelley, S. New Mexico Bureau of Geology and Mineral Resources
Oct 21, 2015
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New Mexico Play Fairway Analysis: Heat Flow
This is an updated and simplified version of the New Mexico heat flow data already on the NGDS that was used for Play Fairway analysis.
Kelley, S. New Mexico Bureau of Geology and Mineral Resources
Oct 21, 2015
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SW New Mexico Play Fairway Analysis: Oil Well Formation Tops
Rock formation top picks from oil wells from southwestern New Mexico from scout cards and other sources. There are differing formation tops interpretations for some wells, so for those wells duplicate formation top data are presented in this file.
Kelley, S. New Mexico Bureau of Geology and Mineral Resources
Oct 21, 2015
1 Resources
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1 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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1 Resources
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SW New Mexico Play Fairway Analysis: BHT Geothermal Gradient Calculations
This file contains a compilation of BHT data from oil wells in southwestern New Mexico. Surface temperature is calculated using the collar elevation. An estimate of geothermal gradient is calculated using the estimated surface temperature and the uncorrected BHT data.
Kelley, S. New Mexico Bureau of Geology and Mineral Resources
Jul 24, 2015
1 Resources
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification.
In this study, a machine-learning-assiste...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
4 Resources
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4 Resources
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Microearthquake Studies at the Salton Sea Geothermal Field
The objective of this project is to detect and locate microearthquakes to aid in the characterization of reservoir fracture networks. Accurate identification and mapping of the large numbers of microearthquakes induced in EGS is one technique that provides diagnostic information w...
Templeton, D. Lawrence Livermore National Laboratory
Oct 01, 2013
1 Resources
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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
4 Resources
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4 Resources
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Brady's Geothermal Field Map of DAS, Nodal, Vibroseis and Reftek Station Deployment
Map of DAS, nodal, vibroseis and Reftek stations during March 2016 deployment. The plot on the left has nodal stations labeled; the plot on the right has vibroseis observations labeled. Stations are shown in map-view using Brady's rotated X-Y coordinates with side plots denoting...
Feigl, K. University of Wisconsin
Oct 15, 2016
1 Resources
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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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1 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
14 Resources
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14 Resources
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Exploration for Blind Geothermal Resources in the State of Hawaii Utilizing Dissolved Noble Gasses in Well Waters
This study is an extension of the Hawaii Play Fairway Analysis (PFA), a statewide geothermal exploration project funded by the United States Department of Energy. Based on results from prior phases of the PFA, this project targeted 66 wells on the islands of Hawaii, Maui, Lanai, O...
Ferguson, C. University of Hawaii
Nov 01, 2020
4 Resources
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4 Resources
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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
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3 Resources
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