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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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Utah FORGE: Well 14-2 Logs and Data from Roosevelt Hot Spring Area
This is a compilation of logs and data from Well 14-2 in the Roosevelt Hot Springs area in Utah. This well is also in the Utah FORGE study area.
Data includes: flowmeter survey (1989), geochemistry (1977-1978, 1977-1983), injection test data (1979, 1982), and spinner surveys (19...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 03, 2016
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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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Analysis of downhole data from USU-1 well Leidos Technical Report
USU Camas-1 is a geothermal test well drilled in Camas Prairie, Idaho, in the Summer and Fall of 2018. The purpose of this test well was to validate Play Fairway methodologies of the Snake River Plain Play Fairway Analysis project.
In this report, test data are analyzed to infer...
Garg, S. and Goranson, C. Utah State University
Dec 04, 2018
1 Resources
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1 Resources
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EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)
This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...
White, M. et al Pacific Northwest National Laboratory
Feb 04, 2020
100 Resources
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100 Resources
0 Stars
Publicly accessible