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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

Flow and Geomechanical Modeling for the VESTA Project

Oct 07, 2025
705.82 MB
Awaiting release
This dataset contains flow and geomechanical modeling results developed for the VESTA project, which investigates high-temperature aquifer thermal energy storage (ATES). Both generic and site-specific models were constructed to evaluate reservoir thermal and mechanical performance...
Authors
Zhang, Y. and Rutqvist, J. Lawrence Berkeley National Laboratory
geothermalenergyhigh-temperature aquifer thermal energy storagecoupled thermal-hydrological-mechnical modelvestaaquifer thermal energy storageatesht-atestough-flactoughitough2thmgeomechanical modelingflow simulationheat transportberngeneric modelgroundwater flowpressure distributiontemperature profilesmodeled datastrainpermeabilityflac3dreservoir simulationates simulation