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DOE OSTI · 1797281

Brady Geodatabase for Geothermal Exploration Artificial Intelligence

Moraga, Jim·Cavur, Mahmut (ORCID:0000000212562700)·Duzgun, H. Sebnem (ORCID:0000000170139241)·Soydan, Hilal (ORCID:0000000198772356)·Jin, Ge (ORCID:0000000296407547)
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Abstract

These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-processed data). In each of these categories there are six additional types of raster catalogs which are titled Radar, SWIR, Thermal, Geophysics, Geology, and Wells. These inputs and outputs were used with the Geothermal Exploration Artificial Intelligence to identify indicators of blind geothermal systems at the Brady Hot Springs Geothermal Site. The included zip file is a geodatabase to be used with ArcGIS and the tar file is an inclusive database that encompasses the inputs and outputs for the Brady Hot Springs Geothermal Site.

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15 GEOTHERMAL ENERGYAIanomaly detectionArcGISartificial intelligenceblindblind systemBradyBrady hot springsBrady Wellconceptual modeldatabasedeep learningdeformationenergyexplorationfaultfield datageodatabasegeophysicalgeophysicsgeospatial datageospatial databasegeothermalgeothermal site detectionGIShydrothermalhyperspectralhyperspectral imagingland surface temperatureLSTmachine learningmodelNevadapreprocessedprocessed dataradarrasterraw dataremote sensingseismicshort wavelength infraredsite detectionsupport vector machineSVMSWIRvectorwell

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Moraga, Jim, Cavur, Mahmut (ORCID:0000000212562700), Duzgun, H. Sebnem (ORCID:0000000170139241), Soydan, Hilal (ORCID:0000000198772356), Jin, Ge (ORCID:0000000296407547). 2021-04-27. Brady Geodatabase for Geothermal Exploration Artificial Intelligence. https://doi.org/10.15121/1797281

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