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Brady's, NV×

GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

Mar 29, 2021
179.87 MB
Publicly accessible
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...
Authors
Vesselinov, V. Los Alamos National Laboratory
geothermalenergymachine-learningnew mexicobradynevadagreat basinsouthwest new mexicomulti-physicsbrady hot springssmarttensorsgeothermalcloudgeothermal cloudlos alamos national laboratorysite datasimulationmachine learningmodel

DASH Slow Strain Rates from Brady Hot Springs Geothermal Field during PoroTomo Deployment Period

Jun 27, 2018
4.98 GB
Publicly accessible
This submission contains slow strain rates summed to radians over 30 second intervals [rad/s] derived from horizontal distributed acoustic sensing measurements (DASH) of Brady geothermal field during PoroTomo deployment (2016-Mar-14 to 2016-Mar-26). There is one file correspondin...
Authors
Reinisch, E. et al University of Wisconsin
geothermaldashporotomoslow strainbrady hot springsdashorizontaldistributed acoustic sensingmatlabstrain ratestraincharacterizationgeophysicshydrothermalbradyprocessed datasoftwarerepositorytechnicalreportslow strain rate