Utah FORGE Discrete Fracture Network (DFN) Data


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.

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Additional Info

DOE Project Name: Utah FORGE
DOE Project Number: EE0007080
DOE Project Lead: Lauren Boyd
DOI: 10.15121/1638173
Last Updated: 6 months ago
Data from June, 2020
Submitted Jun 24, 2020


Golder Associates Inc.



Publicly accessible License 


Aleta Finnila
Golder Associates Inc.
Robert Podgorney
Idaho National Laboratory


geothermal, energy, Utah FORGE, FORGE, Utah geothermal, reservoir, engineering, hydraulic, fracturing, EGS, Discrete Fracture Network, DFN, fracture modelling, Milford, modeling, fracture, hydroshear, inflated, pore pressure, stress, FracMan, stimulation, drilling, pressure, Golder, simulation, reservoir planning, hydraulic fracturing


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