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DOE OSTI · 1832125

Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Faulds, James·Coolbaugh, Mark
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Abstract

This submission contains shapefiles, geotiffs, and symbology for the revised-from-Play-Fairway potential structures/structural settings used in the Nevada Geothermal Machine Learning project. Layers include potential structural setting ellipses, centroids, and distance-to-centroid raster. A submission linking the full GitHub repository for our machine learning Jupyter Notebooks will appear in the related datasets section of this page once available.

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15 GEOTHERMAL ENERGYAccommodation ZonecentroidscodedataDisplacement Transfer Zonedistance to centroidellipsesenergyFault BendFault IntersectionFault Terminationgeospatialgeospatial datageothermalgisMachine LearningNevadaPotential StructuresPull ApartrasterStepoverStructural SettingStructure

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Faulds, James, Coolbaugh, Mark. 2021-02-20. Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. https://doi.org/10.15121/1832125

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