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MT Data: Newberry 4D Monitoring EGS Project
This submission contains a link to the EDX Collaborative Workspace where the MT data collected in support of the DOE GTO 4D EGS monitoring project is stored.
Daily production reports- Oregon State University (OSU) had 6 stations running continuously.
--Dynamic survey map, KML f...
Rose, K. National Energy Technology Laboratory
Apr 12, 2016
1 Resources
0 Stars
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1 Resources
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Directional Cooling-Induced Fracturing Westerly Granite Test Results
Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on a short, cylindrical sample of Westerly granite (diameter = 4 inches, height ~ 2 inches). Liquid nitrogen was poured in a copper cup attached to the top of the sample, and the resulting acoustic emissions ...
Nakagawa, S. Lawrence Berkeley National Laboratory
Dec 18, 2020
5 Resources
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5 Resources
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EGS Collab Experiment 2: Continuous Broadband Seismic Waveform Data
Two broadband seismometers were installed on the 4100 level and recorded for the duration of EGS Collab Experiment #2. Inspired by published data from similar instruments installed in the Aspo Hard Rock Lab, these long-period instruments aimed to measure the tilting of the drift i...
Rodriguez Tribaldos, V. Lawrence Berkeley National Laboratory
Sep 12, 2022
6 Resources
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6 Resources
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EGS Collab: Hydraulic Fracturing Test Measurements on the 4100L of SURF
This package includes data from two days of testing at the Sanford Underground Research Facility (SURF) on the 4100 level. The tests were performed in borehole TV4100 in the battery charging alcove south of the Yates shaft. TV4100 is a vertical borehole ~50 meters deep. A series o...
Ingraham, M. et al Sandia National Laboratories
Aug 15, 2019
3 Resources
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3 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
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6 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
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1 Resources
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