Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models

Finnila, Aleta

doi:10.15121/2007506

Title: Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models

Dataset
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Abstract

This dataset includes the data and a report on the large upscaled discrete fracture network modeling done for the Utah FORGE project in 2023. The FORGE modeling team is making five discrete fracture network (DFN) realizations of a large reservoir model available to researchers. These models have been upscaled to a continuum mesh or grid at resolutions of 10 meters and 20 meters providing reservoir properties for fracture porosity, permeability, and compressibility. The models are available in both the reference global coordinate frame and a local coordinate frame aligned with principal stress directions.

Authors:

Finnila, Aleta

Energy and Geoscience Institute at the University of Utah

Publication Date:: Mon Oct 02 00:00:00 EDT 2023

Other Number(s):: 1554

DOE Contract Number:: EE0007080

Research Org.:: DOE Geothermal Data Repository; Energy and Geoscience Institute at the University of Utah

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)

Collaborations:: Energy and Geoscience Institute at the University of Utah

Subject:: 15 GEOTHERMAL ENERGY; DFN; EGS; EGS fracture model; FORGE; FracMan; Roosevelt Hot Springs; Utah FORGE; WSP; discrete fracture network; energy; engineered geothermal systems; fracture modeling; fractures; geothermal; large upscaled DFN; modelling; permeability; porosity; reservoir engineering; reservoir modeling; reservoir properties; stimulation; well 16A78-32

OSTI Identifier:: 2007506

DOI:: https://doi.org/10.15121/2007506

Citation Formats


                    Finnila, Aleta. Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models.  United States: N. p., 2023. 
        Web.  doi:10.15121/2007506.

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                    Finnila, Aleta. Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models.  United States.  doi:https://doi.org/10.15121/2007506

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                    Finnila, Aleta. 2023.  
"Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models".  United States.  doi:https://doi.org/10.15121/2007506.  https://www.osti.gov/servlets/purl/2007506. Pub date:Mon Oct 02 00:00:00 EDT 2023

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@article{osti_2007506,

  title        = {Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models},

  author       = {Finnila, Aleta},

  abstractNote = {This dataset includes the data and a report on the large upscaled discrete fracture network modeling done for the Utah FORGE project in 2023. The FORGE modeling team is making five discrete fracture network (DFN) realizations of a large reservoir model available to researchers. These models have been upscaled to a continuum mesh or grid at resolutions of 10 meters and 20 meters providing reservoir properties for fracture porosity, permeability, and compressibility. The models are available in both the reference global coordinate frame and a local coordinate frame aligned with principal stress directions.},

  doi          = {10.15121/2007506},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Oct 02 00:00:00 EDT 2023},

  month        = {Mon Oct 02 00:00:00 EDT 2023}

}

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DOI: https://doi.org/10.15121/2007506

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