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

Faulds, James; Coolbaugh, Mark

doi:10.15121/1832125

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

Dataset
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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.

Authors:

; Coolbaugh, Mark

Nevada Bureau of Mines and Geology

Publication Date:: Fri Feb 19 23:00:00 EST 2021

Other Number(s):: 1353

DOE Contract Number:: EE0008762

Research Org.:: DOE Geothermal Data Repository; Nevada Bureau of Mines and Geology

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)

Collaborations:: Nevada Bureau of Mines and Geology

Subject:: 15 GEOTHERMAL ENERGY; Accommodation Zone; Displacement Transfer Zone; Fault Bend; Fault Intersection; Fault Termination; Machine Learning; Nevada; Potential Structures; Pull Apart; Stepover; Structural Setting; Structure; centroids; code; data; distance to centroid; ellipses; energy; geospatial; geospatial data; geothermal; gis; raster

OSTI Identifier:: 1832125

DOI:: https://doi.org/10.15121/1832125

Citation Formats


                    Faulds, James, and Coolbaugh, Mark. Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada.  United States: N. p., 2021. 
        Web.  doi:10.15121/1832125.

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

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                    Faulds, James, and Coolbaugh, Mark. 2021.  
"Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada".  United States.  doi:https://doi.org/10.15121/1832125.  https://www.osti.gov/servlets/purl/1832125. Pub date:Fri Feb 19 23:00:00 EST 2021

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@article{osti_1832125,

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

  author       = {Faulds, James and Coolbaugh, Mark},

  abstractNote = {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.},

  doi          = {10.15121/1832125},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Feb 19 23:00:00 EST 2021},

  month        = {Fri Feb 19 23:00:00 EST 2021}

}

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DOI: https://doi.org/10.15121/1832125

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