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#1 Federal

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Organization: Department of Energy
Dataset Last Updated: March 24, 2022 at 04:59 PM

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...

Search relevance: 1.00 | Views last month: 17 | Catalog Last Checked: August 03, 2026 at 01:00 AM

#2 Federal

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Organization: Department of Energy
Dataset Last Updated: November 08, 2021 at 09:46 PM

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...

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Search relevance: 1.00 | Views last month: 11 | Catalog Last Checked: August 03, 2026 at 01:00 AM

#3 Federal

Extraction/Injection Well Design for Deep Direct Use at University of Illinois at Urban-Champaign

Organization: Department of Energy
Dataset Last Updated: August 29, 2019 at 02:49 PM

The large scale Deep Direct Use (DDU) geothermal project in the low temperature environment of the Illinois Basin requires drilling and completing two wells. One well would be the extraction...

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Search relevance: 1.00 | Views last month: 4 | Catalog Last Checked: August 03, 2026 at 01:00 AM

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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Extraction/Injection Well Design for Deep Direct Use at University of Illinois at Urban-Champaign