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    • Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University

    Metadata Updated: April 26, 2022

    To reduce the geothermal exploration risk, a feasibility study is performed for a deep direct-use system proposed at the West Virginia University (WVU) Morgantown campus. This study applies numerical simulations to investigate reservoir impedance and thermal production. Because of the great depth of the geothermal reservoir, few data are available to characterize reservoir features and properties. As a result, the study focuses on the following three aspects: 1. model choice for predicting reservoir impedance and thermal breakthrough: after investigating three potential models (one single permeability model and two dual permeability models) for flow through fractured rock, it is decided to use single permeability model for further analysis; 2. well placement (horizontal vs. vertical) options: horizontal well placement seems to be more robust to heterogeneity and the impedance is more acceptable; 3. Prediction uncertainty: the most influential parameters are identified using a First-Order-Second-Moment uncertainty propagation analysis, and the uncertain range of the model predictions is estimated by performing a Monte Carlo simulation. Heterogeneity has a large impact on the perdition, therefore, is considered in the predictive model and uncertainty analysis. The numerical model results and uncertainty analysis are used for economic analysis. The dataset submitted here support the described study. Manuscript is submitted to Geothermics, will be linked once paper is accepted.

    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 June 24, 2021
    Metadata Updated Date April 26, 2022

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date June 24, 2021
    Metadata Updated Date April 26, 2022
    Publisher West Virginia University
    Maintainer
    Doi 10.15121/1597110
    Identifier https://data.openei.org/submissions/3839
    Data First Published 2019-12-20T07:00:00Z
    Data Last Modified 2022-01-14T17:07:05Z
    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 eabb236a-2ec7-45ce-ad3b-e874b5092d86
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1197
    License https://creativecommons.org/licenses/by/4.0/
    Old Spatial {"type":"Polygon","coordinates":-81.06660625,38.933992306471,-78.759578515625,38.933992306471,-78.759578515625,40.014367950021,-81.06660625,40.014367950021,-81.06660625,38.933992306471}
    Program Code 019:006
    Projectlead Arlene Anderson
    Projectnumber EE0008105
    Projecttitle Feasibility of Deep Direct Use Geothermal on the West Virginia University Campus-Morgantown, WV
    Source Datajson Identifier True
    Source Hash 8b2cda2db142a3e40536dedf3c91b101d9ab35b9
    Source Schema Version 1.1
    Spatial {"type":"Polygon","coordinates":-81.06660625,38.933992306471,-78.759578515625,38.933992306471,-78.759578515625,40.014367950021,-81.06660625,40.014367950021,-81.06660625,38.933992306471}

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