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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Feb 18, 2021
4.49 MB
Publicly accessible
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...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningsubsurfacecharacterizationbrady hot springspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementbradys hot springsporotomoreservoirdual-porositystimulationinjection testmodeltemperatureflowpressuresimulationsingle-fracturedoubletheatmapheat maptensorflow

Life Cycle Water Consumption and Water Resource Assessment for Utility-Scale Geothermal Systems: An In-Depth Analysis of Historical and Forthcoming EGS Projects

Aug 31, 2013
10.97 MB
Publicly accessible
This report is the third in a series of reports sponsored by the U.S. Department of Energy Geothermal Technologies Program in which a range of water-related issues surrounding geothermal power production are evaluated. The first report made an initial attempt at quantifying the li...
Authors
Schroeder, J. et al Argonne National Laboratory
geothermalegswaterlife cyclewater consumptionpowerregional water resource assessmentstimulationinternationaldomesticgeologypermitnevadaproductioninjectioncaliforniaoregonoperationalabovegroundmake-upcoolingwellobservation wellnepadrillingproduction wellinjection wellchemicalflow testcirculation testexploration welllossreservoir lossbelowground lossoperational lossloss ratelife cycle assessmentwater resource