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    • Stanford Thermal Earth Model for the Conterminous United States

    Metadata Updated: January 20, 2025

    Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States. The thermal earth model is made available as an application programming interface (API) and as feature layers on ArcGIS, which are both provided via links below.

    A data-driven spatial interpolation algorithm based on physics-informed graph neural networks was used to develop these national temperature-at-depth maps. The model satisfied the three-dimensional heat conduction law by predicting subsurface temperature, surface heat flow, and rock thermal conductivity. Many physical quantities, including bottomhole temperature, depth, geographic coordinates, elevation, sediment thickness, magnetic anomaly, gravity anomaly, gamma-ray flux of radioactive elements, seismicity, and electric conductivity were used as model inputs. Surface heat flow, temperature, and thermal conductivity predictions were constructed for depths of 0-7 km at an interval of 1 km with spatial resolution of 18 km2 per grid cell. The model showed superior temperature, surface heat flow and thermal conductivity mean absolute errors of 4.8C, 8.1 mW/m2 and 0.07 W/(C-m), respectively..

    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 Stanford University
    Maintainer
    Doi 10.15121/2324793
    Identifier https://data.openei.org/submissions/7669
    Data First Published 2024-03-14T06:00:00Z
    Data Last Modified 2024-07-16T16:04:35Z
    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 d3c0c31e-d644-4e97-a6a7-2429f79db8df
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1592
    License https://creativecommons.org/licenses/by/4.0/
    Old Spatial {"type":"Polygon","coordinates":-125.36348124999998,24.267251345221194,-66.13628750000002,24.267251345221194,-66.13628750000002,49.492575376927796,-125.36348124999998,49.492575376927796,-125.36348124999998,24.267251345221194}
    Program Code 019:006
    Projectlead Lauren Boyd
    Projectnumber EE0007080
    Projecttitle Wellbore Fracture Imaging Using Inflow Detection Measurements
    Source Datajson Identifier True
    Source Hash 0abd4f66ffb2b7d66e87a59ba1d1a9177182327d8a2a7936e105d7e85e55f42e
    Source Schema Version 1.1
    Spatial {"type":"Polygon","coordinates":-125.36348124999998,24.267251345221194,-66.13628750000002,24.267251345221194,-66.13628750000002,49.492575376927796,-125.36348124999998,49.492575376927796,-125.36348124999998,24.267251345221194}

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