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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

Geocellular model of St. Peter Sandstone for University of Illinois at Urbana-Champaign DDU Feasibility Study

Dec 31, 2018
68.79 MB
Publicly accessible
The geocellular model of the St. Peter Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Authors
Damico, J. University of Illinois
geothermalenergyst. peter sandstoneillinois basinddudeep direct-useuniversity of illinois at urbana-champaign3-dgeocellular modelingfeasibilitycharacterizationillinois3dstructuralgeologymodelreservoirgeologicthermalhydrologicmechanicalpropertiespetrophysicalthermal conductivityspecific heat capacityheat capacityporositydensitypermeabilitythicknessdepthmt simon

Geocellular Model of Mt. Simon Sandstone for University of Illinois at Urbana-Champaign DDU feasibility study

Dec 31, 2018
111.49 MB
Publicly accessible
The geocellular model of the Mt. Simon Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Authors
Damico, J. University of Illinois
geothermalenergygeocellular modelingmt. simon sandstoneillinois basinddudeep direct-use3-duniversity of illinois at urbana champaignfeasibilitycharacterizationillinoisstructuralgeologygeologicmodeldensityporositypermeabilitythermal conductivityheat capacitythicknessdepthst. peterthermalhydrologicmechanicalpetrophisicalproperties3dreservoir
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