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DOE OSTI · 1797282

Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence

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

These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there are six additional types of raster catalogs including Radar, SWIR, Thermal, Geophysics, Geology, and Wells. The files for the Desert Peak Geothermal Site are used with the Geothermal Exploration Artificial Intelligence to identify indicators of blind geothermal systems. 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 Desert Peak Geothermal Field.

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15 GEOTHERMAL ENERGYAIanomaly detectionArcGISartificial intelligenceblindblind systemconceptual modeldatabasedeep learningdeformationDesert Peakenergyexplorationfaultgeodatabasegeophysicalgeophysicsgeospatial datageothermalgeothermal site detectionGIShydrothermalhyperspectralhyperspectral imagingland surface temperatureLSTmachine learningmodelNevadapreprocessedprocessed dataradarraw dataremote sensingshort wavelength infraredsite detectionSupport Vector MachineSVMSWIRwell

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Moraga, Jim, Cavur, Mahmut (ORCID:0000000212562700), Soydan, Hilal (ORCID:0000000198772356), Duzgun, H. Sebnem (ORCID:0000000170139241), Jin, Ge (ORCID:0000000296407547). 2021-04-27. Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence. https://doi.org/10.15121/1797282

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