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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

Apr 15, 2022
113.79 MB
Publicly accessible
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...
Authors
Jin, W. et al Idaho National Laboratory
reservoir thermal energy storagestochastic simulationgeotesmachine learningmodelingtesht-rtescharacterizationnumerical modelstochastichydrogeologic formationsimulated datasimulation datahigh-temperaturethermal energy storageoptimizationartificial neural network regressionannneural networkoperation scenariosseasonal-cyclepareto frontsseasonal operationcontinuous operationfalconmoose

Deep Sedimentary Basin EGS Development Reports

Jan 24, 2013
665.96 MB
Publicly accessible
This submission includes a Stage Gate Report on "Novel Geothermal Development of Deep Sedimentary Systems in the United States," along with supporting reports, presentations, and theses related to deep sedimentary basin geothermal development.. Stratigraphic reservoirs with high ...
Authors
Allis, R. and Moore, J. University of Utah
geothermalsedimentary aquifersbasin stratigraphytemperature distributionsheat flowreservoir modelingstratigraphic reservoirspermeabilityhydrofracturingdrillingpower productionsolarcarbonatessiliciclasticsreportdeep sedimentarystage gatetechnical report