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Utah FORGE: Logs and Data from Deep Well 58-32 (MU-ESW1)
Data, logs, and graphics associated with the drilling and testing of Utah FORGE deep test well 58-32 (MU-ESW1) near Roosevelt Hot Springs.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Apr 11, 2018
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog from Double-Difference Seismic Tomography
This package contains a 3D Seismic velocity model and an updated microseismic catalog obtained for a double-difference seismic tomography study.
The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-wave velocity (km/s), P-wave velocity quality indicator (1 for we...
Chai, C. . et al Oak Ridge National Laboratory
Jun 01, 2020
8 Resources
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Publicly accessible
8 Resources
0 Stars
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Utah FORGE 2439: Well 16B(78)-32 Field-Test Data from Mini-Frac Tests
This submittal includes the field-test data collected during stress tests conducted in the Utah FORGE 16B(78)-32 wellbore to measure/characterize the stresses in the geothermal reservoir. The type of stress test performed is referred to as a mini-frac test or a micro-frac test. Th...
Kelley, M. . et al Battelle Memorial Institute
Jul 02, 2023
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
NREL GIS Data: Arkansas High Resolution Wind Resource
_Abstract:_ Annual average wind resource potential for the state of Arkansas at a 50 meter height.
_Purpose:_ Provide information on the wind resource development potential within the state of Arkansas.
_Supplemental Information:_ This data set has been validated by NREL ...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Arizona High Resolution Wind Resource
_Abstract:_ Annual average wind resource potential for the state of Arizona at a 50 meter height. This dataset will be replaced when the southwest region has been completed, and the data may change when this region has been completed.
_Purpose:_ Provide information on the win...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments
Previous moderate and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable mode...
Mordensky, S. . et al United States Geological Survey
Feb 07, 2023
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests
California State University Long Beach evaluated hydraulic connectivity among geothermal wells using Periodic Hydraulic Testing (PHT) and Distributed Acoustic Sensing (DAS). The principal was to create a pressure signal in one well and observe the responding pressure signals in on...
Coleman, T. and Becker, M. California State University
Jul 06, 2017
35 Resources
0 Stars
Publicly accessible
35 Resources
0 Stars
Publicly accessible
Snake River Plain FORGE: Site Characterization Data
The site characterization data used to develop the conceptual geologic model for the Snake River Plain site in Idaho, as part of phase 1 of the Frontier Observatory for Research in Geothermal Energy (FORGE) initiative. This collection includes data on seismic events, groundwater,...
Moos, D. and Barton, C. Idaho National Laboratory
Apr 18, 2016
49 Resources
0 Stars
Publicly accessible
49 Resources
0 Stars
Publicly accessible
EGS Collab Experiment 1: Microseismic Monitoring
The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first expe...
Schoenball, M. . et al Lawrence Berkeley National Laboratory
Jul 29, 2019
46 Resources
0 Stars
Publicly accessible
46 Resources
0 Stars
Publicly accessible