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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
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...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Elevation Grid for top Columbia River Basalt (CRBG) in the Portland Basin used in DDU Feasibility Study
The Portland Basin is a prime location to assess the feasibility of DDU-TES because natural geologic conditions provide thermal and hydraulic separation from overlying aquifers that would otherwise sweep away stored heat. Under the Portland Basin, the lower Columbia River Basalt G...
Bershaw, J. and Scanlon, D. Portland State University
Dec 01, 2018
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Fault Information and Seismicity for the Portland Basin Deep Direct-Use Feasibility Study
Included in this dataset is a spreadsheet with the primary fault information used in the basin model, a spreadsheet with earthquake magnitude estimates, and a figure showing location of faults and microseismicity in the Portland Basin
Streig, A. and Wells, R. Portland State University
Dec 04, 2018
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible