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Raw Pressure Data from Boise Hydrogeophysical Research Site (BHRS)

Pressure data from a phreatic aquifer was collected in the summer of 2013 during Multi-frequency Oscillatory Hydraulic Tomography pumping tests. All tests were performed at the Boise Hydrogeophysical Research Site. The data will be inverted using a fast steady-periodic adjoint-bas...

Lim, D. University of Wisconsin

Jul 17, 2013
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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
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Raw Pressure Data from Boise Hydrogeophysical Research Site (BHRS)

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs