Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Faulds, James; Ayling, Bridget; DeAngelo, Jacob

doi:10.15121/1832126

Title: Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

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Abstract

This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project. 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:

;

; DeAngelo, Jacob

Publication Date:: Thu Jan 01 00:00:00 EST 1970

Other Number(s):: 1352

DOE Contract Number:: EE0008762

Research Org.:: USDOE Geothermal Data Repository (United States); 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

Keywords:: geothermal; energy; geochemistry; sinter; travertine; tufa; paleo-geothermal; Nevada; Machine Learning; geothermometry; Play Fairway; geospatial data; geospatial; code; geophysics

Geolocation:: 41.008303547853,-114.212459375|38.46240993542,-114.212459375|38.46240993542,-119.650590625|41.008303547853,-119.650590625|41.008303547853,-114.212459375

OSTI Identifier:: 1832126

DOI:: https://doi.org/10.15121/1832126

Project Location:

Citation Formats


                    Faulds, James, Ayling, Bridget, and DeAngelo, Jacob. Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada.  United States: N. p., 1970. 
        Web.  doi:10.15121/1832126.

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                    Faulds, James, Ayling, Bridget, & DeAngelo, Jacob. Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada.  United States.  doi:https://doi.org/10.15121/1832126

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                    Faulds, James, Ayling, Bridget, and DeAngelo, Jacob. 1970.  
"Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada".  United States.  doi:https://doi.org/10.15121/1832126.  https://www.osti.gov/servlets/purl/1832126. Pub date:Thu Jan 01 00:00:00 EST 1970

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@article{osti_1832126,

  title        = {Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada},

  author       = {Faulds, James and Ayling, Bridget and DeAngelo, Jacob},

  abstractNote = {This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project. 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          = {10.15121/1832126},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Jan 01 00:00:00 EST 1970},

  month        = {Thu Jan 01 00:00:00 EST 1970}

}

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DOI: https://doi.org/10.15121/1832126

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