Utah FORGE: Discrete Fracture Network (DFN) Data
- Golder Associates Inc.
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 16A(78)-32. These fracture sets are fully stochastic and do not contain the deterministic set that matches the pilot well 58-32 FMI data. Well 58-32 has been completed and 16A(78)-32 is to be drilled as part of Phase 3. The original .fab files are not included due to redundancy. The *.fabgz data for the 800m and 1200m depth areas are in the native FracMan format and have been compressed using Gzip. Filtered data for the 800m depth area includes .csv spreadsheets, native FracMan (.fab), and GOCAD (.ts) files that are in a compressed zip format. The file titled "SGW 2020 Finnila and Podgorney DFN fracture files on GDR.pdf" is a description of the data and should be reviewed prior to data use.
- Research Organization:
- DOE Geothermal Data Repository; Golder Associates Inc.
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
- Contributing Organization:
- Golder Associates Inc.
- DOE Contract Number:
- EE0007080
- OSTI ID:
- 1638173
- Report Number(s):
- 1222
- Availability:
- GDRHelp@ee.doe.gov
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
DFN
Discrete Fracture Network
EGS
FORGE
FracMan
Golder
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Utah FORGE
Utah geothermal
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energy
engineering
fracture
fracture modelling
fracturing
geothermal
hydraulic
hydraulic fracturing
hydroshear
inflated
modeling
pore pressure
pressure
reservoir
reservoir planning
simulation
stimulation
stress