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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 Analyses and Results
*This submission updates a 2015 submission for the utilization analysis (https://gdr.openei.org/submissions/623)*
The files document the analysis of utilization potential in support of Phase 1 Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. This 2016 su...
E., T. Cornell University
Jul 30, 2016
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Colorado Heat Flow Data from IHFC
This layer contains the heat flow sites and data of the State of Colorado compiled from the International Heat Flow Commission (IHFC) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI) global heat flow database. The data include different i...
E., R. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Tularosa Basin Play Fairway Analysis: Weights of Evidence; Mineralogy, and Temperature Anomaly Maps
This submission has two shapefiles and a tiff image. The weights of evidence analysis was applied to data representing heat of the earth and fracture permeability using training sites around the Southwest; this is shown in the tiff image. A shapefile of surface temperature anomali...
Brandt, A. University of Utah
Nov 15, 2015
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Machine Learning Model Geotiffs Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany the final report. Layers include: Artificial Neural Network (ANN), Extreme Learning Ma...
Faulds, J. et al Nevada Bureau of Mines and Geology
Jun 01, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Tularosa Basin Play Fairway Analysis Model
This submission contains several shapefiles used for a deterministic PFA, as well as a heat composite risk segment with union overlay, and training sites used for weights of evidence. More detailed metadata can be found in the specific file.
Brandt, A. University of Utah
Nov 15, 2015
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Utilization Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)
This submission of Utilization Analysis data to the Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) is in support of Phase 1 Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. The submission includes data pertinent to th...
E., T. Cornell University
Sep 30, 2015
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
TEAMER: Supporting model output files for Environmental Compliance Framework for Floating Tidal Turbines, Cook Inlet, AK
Orbital Marine Power (Orbital) is seeking to deploy their floating tidal technology in US waters and has considered the possibility of deploying in temperate waters including the Pacific Northwest (PNW) and the Western Passage, Maine. It has become apparent that some of the most p...
Wang, T. et al Pacific Northwest National Laboratory
Mar 01, 2023
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Tularosa Basin Play Fairway: Weights of Evidence Models
These models are related to weights of evidence play fairway anlaysis of the Tularosa Basin, New Mexico and Texas. They were created through Spatial Data Modeler: ArcMAP 9.3 geoprocessing tools for spatial data modeling using weights of evidence, logistic regression, fuzzy logic a...
Brandt, A. University of Utah
Dec 01, 2015
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
State Energy Efficient Appliance Rebate Program (SEEARP) Reports
The State Energy Efficient Appliance Rebate Program (SEEARP) reports database includes rebate reports (xls) and summary factsheets (pdf) from states and territories that participated in SEEARP. With funding provided by the American Recovery and Reinvestment Act of 2009 (ARRA), the...
Hoffmeyer, D. Office of Energy Efficiency and Renewable Energy
Jun 18, 2015
5 Resources
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5 Resources
0 Stars
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Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)
This submission contains information used to compute the risk factors for the GPFA-AB project. The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking ...
E., T. Cornell University
Sep 30, 2015
191 Resources
0 Stars
Publicly accessible
191 Resources
0 Stars
Publicly accessible
Tularosa Basin Play Fairway Analysis: Raw MT Data for the McGregor Range, Fort Bliss, New Mexico
This is a zipped file containing raw magnetotelluric (MT) data collected as part of the Phase 2 Tularosa Basin geothermal play fairway analysis project in New Mexico. The data for each MT station are in standard .edi text files which are accompanied by graphic files illustrating d...
Nash, G. Energy and Geoscience Institute at the University of Utah
Jan 01, 2017
1 Resources
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1 Resources
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NREL Geothermal GIS Data
This dataset is a qualitative assessment of geothermal potential for the U.S. using Enhanced Geothermal Systems (EGS) and based on the levelized cost of electricity with CLASS 1 being most favorable and CLASS 5 being least favorable. This dataset does not include shallow EGS resou...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Jan 16, 2015
1 Resources
0 Stars
In curation
1 Resources
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In curation
Geothermal Resources of Alaska (published 1983)
Geothermal resources in Alaska, provided as GIS shape files and .kmz files (for viewing in Google Earth). Between 1979 and 1982, the Alaska Division of Geological and Geophysical Surveys (DGGS) and the Geophysical Institute, University of Alaska Fairbanks, undertook an assessment ...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
Aug 30, 2006
2 Resources
0 Stars
In curation
2 Resources
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In curation
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
0 Stars
Publicly accessible
4 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
0 Stars
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11 Resources
0 Stars
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Favorable Geochemistry from Springs and Wells in Colorado
This layer contains favorable geochemistry for high-temperature geothermal systems, as interpreted by Richard "Rick" Zehner. The data is compiled from the data obtained from the USGS. The original data set combines 15,622 samples collected in the State of Colorado from several sou...
E., R. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations
Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: An Approach to Improve Energy Recovery and Mitigate Risk: FY1 Final Report
The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal ...
A., T. Lawrence Livermore National Laboratory
Jan 01, 2012
8 Resources
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Publicly accessible
8 Resources
0 Stars
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Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak
The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model:
brady_som_output.gri, brady_som_output.grd, brady_som_output.*
desert_som_output.gri, desert_som_output.grd, desert_som_outpu...
Moraga, J. et al Colorado School of Mines
Sep 01, 2020
16 Resources
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16 Resources
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McGee Mountain Geoprobe Survey, Humboldt County, Nevada
This shapefile contains location and attribute data for a Geoprobe temperature survey conducted by Geothermal Technical Partners, Inc. during 2010. The purpose of direct push technology (DPT) probe activity at the McGee Mtn. Project, Nevada was to 1) determine bottom hole temperat...
Zehner, R. Geothermal Technical Partners, Inc.
Jun 01, 2010
2 Resources
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2 Resources
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3D Model of the McGinness Hills Geothermal Area
The McGinness Hills geothermal system lies in a ~8.5 km wide, north-northeast trending accommodation zone defined by east-dipping normal faults bounding the Toiyabe Range to the west and west-dipping normal faults bounding the Simpson Park Mountains to the east. Within this broad ...
E. Faulds, J. University of Nevada
Dec 31, 2013
1 Resources
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1 Resources
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Penn State Lab Testing Fluid-Rock Interaction in Geothermal Reservoirs
This project focused on assessment and discovery of fluid-rock interaction in geothermal reservoirs. We accomplished work in four main areas: 1) fracture formation and the relationship between fluid flow and shear failure, 2) assessment of fracture geometry and fluid permeability ...
Madara, B. et al Pennsylvania State University
Jan 01, 2018
5 Resources
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5 Resources
0 Stars
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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
4 Resources
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Publicly accessible
4 Resources
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Economic Impact of Permitting Timelines on Produced Geothermal Power
Despite having a large geothermal power potential in the United States, only a small fraction has been developed for power generation. Various barriers, including technical, financial, and regulatory permit delays, are attributed to lower contribution of geothermal energy in the n...
Neupane, G. and Adhikari, B. Idaho National Laboratory
Feb 15, 2022
3 Resources
0 Stars
Publicly accessible
3 Resources
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Tanana River Transects August 2010
As part of the initial site investigation for the Tanana River near Nenana, Alaska, a set of transects was completed on August 10th, 2010. This data was collected with a Rio Grande 1200 Teledyne ADCP the same year the initial bathymetry was collected. This set of transects includ...
DUVOY, P. University of Alaska Fairbanks
Aug 10, 2010
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
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