Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models
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.
Citation Formats
TY - DATA
AB - 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.
AU - Finnila, Aleta
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/2007506
KW - geothermal
KW - energy
KW - DFN
KW - fractures
KW - Utah FORGE
KW - EGS fracture model
KW - WSP
KW - FORGE
KW - EGS
KW - large upscaled DFN
KW - Roosevelt Hot Springs
KW - well 16A78-32
KW - reservoir engineering
KW - FracMan
KW - engineered geothermal systems
KW - stimulation
KW - modelling
KW - permeability
KW - porosity
KW - reservoir modeling
KW - discrete fracture network
KW - reservoir properties
KW - fracture modeling
LA - English
DA - 2023/10/02
PY - 2023
PB - Energy and Geoscience Institute at the University of Utah
T1 - Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models
UR - https://doi.org/10.15121/2007506
ER -
Finnila, Aleta. Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models. Energy and Geoscience Institute at the University of Utah, 2 October, 2023, Geothermal Data Repository. https://doi.org/10.15121/2007506.
Finnila, A. (2023). Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models. [Data set]. Geothermal Data Repository. Energy and Geoscience Institute at the University of Utah. https://doi.org/10.15121/2007506
Finnila, Aleta. Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models. Energy and Geoscience Institute at the University of Utah, October, 2, 2023. Distributed by Geothermal Data Repository. https://doi.org/10.15121/2007506
@misc{GDR_Dataset_1554,
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.},
url = {https://gdr.openei.org/submissions/1554},
year = {2023},
howpublished = {Geothermal Data Repository, Energy and Geoscience Institute at the University of Utah, https://doi.org/10.15121/2007506},
note = {Accessed: 2025-04-24},
doi = {10.15121/2007506}
}
https://dx.doi.org/10.15121/2007506
Details
Data from Oct 2, 2023
Last updated Oct 5, 2023
Submitted Oct 4, 2023
Organization
Energy and Geoscience Institute at the University of Utah
Contact
Aleta Finnila
206.316.5647
Authors
Keywords
geothermal, energy, DFN, fractures, Utah FORGE, EGS fracture model, WSP, FORGE, EGS, large upscaled DFN, Roosevelt Hot Springs, well 16A78-32, reservoir engineering, FracMan, engineered geothermal systems, stimulation, modelling, permeability, porosity, reservoir modeling, discrete fracture network, reservoir properties, fracture modelingDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080