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Federal
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Department of Energy —
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells... -
Federal
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Department of Energy —
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... -
Federal
Applications of Geothermally-Produced Colloidal Silica in Reservoir Management - Smart Gels
Department of Energy —
In enhanced geothermal systems (EGS) the reservoir permeability is often enhanced or created using hydraulic fracturing. In hydraulic fracturing, high fluid pressures... -
Federal
Niobrara River suspended-sediment and bed-sediment data collection sites near Spencer, Nebr., October through November, 2014
Department of the Interior —
In the fall of 2014 (October-November) the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers collected sediment samples (suspended and bed... -
Federal
Niobrara River suspended-sediment and bed-sediment data collected during hydroelectric dam flush near Spencer, Nebr., October through November, 2014
Department of the Interior —
In the fall of 2014 (October-November) the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers collected sediment samples (suspended and bed...