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    • Utah FORGE Project 2439: Machine Learning for Well 16A(78)-32 Stress Predictions - September 2023 Report

    Metadata Updated: July 9, 2024

    This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental work was documented in a previous task report, which is linked below as "December 2022 Report". This 2023 task competition follows the accomplishments outlined the June 2023 report (also linked below), which elaborated the ML model development and validation strategy comprehensively. At this stage, prediction performances of ML models are further improved and implemented carefully for the estimation of in-situ stresses (i.e., Sv, SHmin, and SHmax over the depth ranging from 5000 to 6000 feet in the well 16A(78)-32). A comparison between ML-based and field-based stresses reflected the excellent harmony in terms of nominal errors at the sampling depths.

    Access & Use Information

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

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    Dates

    Metadata Created Date July 9, 2024
    Metadata Updated Date July 9, 2024

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date July 9, 2024
    Metadata Updated Date July 9, 2024
    Publisher Battelle Memorial Institute
    Maintainer
    Identifier https://data.openei.org/submissions/6060
    Data First Published 2023-09-28T06:00:00Z
    Data Last Modified 2024-04-04T17:17:15Z
    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
    Harvest Object Id c96a0247-bddc-427b-ac86-0069d2278958
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1593
    License https://creativecommons.org/licenses/by/4.0/
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    Program Code 019:006
    Projectlead Lauren Boyd
    Projectnumber EE0007080
    Projecttitle Utah FORGE
    Source Datajson Identifier True
    Source Hash 4fcb5ea9f12c901094a4d503849e3745d605780d5722280882467d48d9aa792c
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