Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models

Dataset · Mon Oct 02 00:00:00 EDT 2023

DOI:https://doi.org/10.15121/2007506· OSTI ID:2007506

Finnila, Aleta ^[1]

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1. Energy and Geoscience Institute at the University of Utah

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.

• Research Organization: DOE Geothermal Data Repository; Energy and Geoscience Institute at the University of Utah
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
• Contributing Organization: Energy and Geoscience Institute at the University of Utah
• DOE Contract Number: EE0007080
• OSTI ID: 2007506
• Report Number(s): 1554
• Availability: [e-mail]
• Country of Publication: United States
• Language: English

Related Subjects

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