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    • GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

    Metadata Updated: January 20, 2025

    Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information about SmartTensors can be found at the SmartTensors Github Repository and the SmartTensors page at LANL.gov. Links to these pages are included in this submission.

    GeoThermalCloud.jl is a repository containing all the data and codes required to demonstrate applications of machine learning methods for geothermal exploration.

    GeoThermalCloud.jl includes: - site data - simulation scripts - jupyter notebooks - intermediate results - code outputs - summary figures - readme markdown files

    GeoThermalCloud.jl showcases the machine learning analyses performed for the following geothermal sites: - Brady: geothermal exploration of the Brady geothermal site, Nevada - SWNM: geothermal exploration of the Southwest New Mexico (SWNM) region - GreatBasin: geothermal exploration of the Great Basin region, Nevada

    Reports, research papers, and presentations summarizing these machine learning analyses are also available and will be posted soon.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: Creative Commons Attribution

    Downloads & Resources

    Dates

    Metadata Created Date January 11, 2025
    Metadata Updated Date January 20, 2025

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 11, 2025
    Metadata Updated Date January 20, 2025
    Publisher Los Alamos National Laboratory
    Maintainer
    Doi 10.15121/1773700
    Identifier https://data.openei.org/submissions/7415
    Data First Published 2021-03-29T06:00:00Z
    Data Last Modified 2021-05-17T15:57:18Z
    Public Access Level public
    Bureau Code 019:20
    Metadata Context https://openei.org/data.json
    Metadata Catalog ID https://openei.org/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Data Quality True
    Datagov Dedupe Retained 20250120155001
    Harvest Object Id 87acdede-39f9-48f1-8868-88e53f284cb6
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1297
    License https://creativecommons.org/licenses/by/4.0/
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    Program Code 019:006
    Projectlead Mike Weathers
    Projectnumber FY19 AOP 3.1.8.7
    Projecttitle Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
    Source Datajson Identifier True
    Source Hash cc2dbc501f8655c94ecd09541444134bcaa138bd190659f42cc50725d6cf8e12
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