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Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress Final Report

This comprehensive technical report documents a multi-component approach to in-situ stress characterization at the Utah FORGE EGS site that integrates Machine Learning (ML) methods for predicting near-well principal stresses around geothermal wells with the physics-based finite el...
Bunger, A. et al University of Pittsburgh
Dec 22, 2025
1 Resources
0 Stars
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Utah FORGE 2-2439v2: Reports on Stress Prediction and Modeling for Well 16B(78)-32 May 2025

These two reports from the University of Pittsburgh document related efforts under Utah FORGE Project 2-2439v2 to estimate in-situ stresses in well 16B(78)-32 using laboratory data, machine learning models, and physics-based simulations. One report focuses on developing and valida...
Lu, G. et al University of Pittsburgh
Jun 05, 2025
2 Resources
0 Stars
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NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL's Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using win...
Heimiller, D. et al National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
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Water Use in Enhanced Geothermal Systems (EGS): Geology of U.S. Stimulation Projects, Water Costs, and Alternative Water Use Policies

According to the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE), geothermal energy generation in the United States is projected to more than triple by 2040 (EIA 2013). This addition, which translates to more than 5 GW of generation capacity, is anti...
Harto, C. et al Argonne National Laboratory
Dec 16, 2014
13 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
0 Stars
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Kansas High Resolution Wind Resource

A shapefile of annual average wind resource potential for Kansas, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shape...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Massachusetts High Resolution Wind Resource

A shapefile of annual average wind resource potential for Massachusetts, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. Thi...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

New Hampshire High Resolution Wind Resource

A shapefile of annual average wind resource potential for Utah, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefi...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

United States New England Regional High Resolution Wind Resource

A shapefile of annual average wind resource potential for the New England Region at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shap...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Connecticut High Resolution Wind Resource

A shapefile of annual average wind resource potential for Connecticut, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This ...
Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Puerto Rico and Virgin Islands High Resolution Wind Resource

A shapefile of annual average wind resource potential for Puerto Rico and the Virgin Islands at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development project...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
Publicly accessible

Arizona High Resolution Wind Resource

A shapefile of annual average wind resource potential for Arizona, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shap...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Tennessee High Resolution Wind Resource

A shapefile of annual average wind resource potential for Tennessee, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This sh...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Iowa High Resolution Wind Resource

A shapefile of annual average wind resource potential for Iowa, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefi...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Kentucky High Resolution Wind Resource

A shapefile of annual average wind resource potential for Kentucky, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This sha...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Oklahoma High Resolution Wind Resource

A shapefile of annual average wind resource potential for Oklahoma, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This sha...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Project HOTSPOT: Kimama Well Borehole Geophysics Database

The Snake River Plain (SRP), Idaho, hosts potential geothermal resources due to elevated groundwater temperatures associated with the thermal anomaly Yellowstone-Snake River hotspot. Project HOTSPOT has coordinated international institutions and organizations to understand subsurf...
Shervais, J. Utah State University
Jul 04, 2011
47 Resources
0 Stars
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LCOE Baseline for OE Buoy WEC Device

Capex numbers are in $/kW, Opex numbers in $/kW-yr. Cost Estimates provided herein are based on concept design and basic engineering data and have high levels of uncertainties embedded. This reference economic scenario was done for a very large device version of the Ocean Energy ...
Previsic, M. et al Re Vision Consulting
Jul 26, 2017
2 Resources
0 Stars
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Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements 2024 Annual Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by The University of Pittsburgh, presented by Andrew Bunger. The project characterizes the stress in the Utah FORGE EGS...
Bunger, A. Energy and Geoscience Institute at the University of Utah
Sep 04, 2024
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Well Data for Student Competition

Well 58-32 (previously labeled MU-ESW1) was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site. Well Accord-1 was drilled decades ago for geothermal exploration purposes. While ...
Podgorney, R. et al Idaho National Laboratory
Dec 07, 2018
12 Resources
0 Stars
Publicly accessible

NWEI Azura December 2015 Data

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawai'i (MCBH) on the windward (northeast) coast of the island of O'ahu, HI. See general documentation describing ...
Lettenmaier, T. Northwest Energy Innovations
Feb 21, 2016
8 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

Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the U...
Kelley, M. and Bunger, A. Battelle Memorial Institute
Sep 08, 2023
1 Resources
0 Stars
Publicly accessible

TigerRAY Moored Deployment Data

This respiratory contains TigerRAY moored deployment data for each day in which data was collected between January 10, 2024 and March 3, 2024. For sensors on and inside TigerRAY, there is one .mat file for each day in which TigerRAY operated and collected data. These files are lab...
Rusch, C. et al University of Washington Applied Physics Lab
Mar 05, 2024
16 Resources
0 Stars
Publicly accessible

Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress 2025 Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by University of Pittsburgh, presented by Dr. Andrew Bunger. The project's objective was to characterize stress i...
Bunger, A. University of Pittsburgh
Sep 18, 2025
3 Resources
0 Stars
Publicly accessible
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