Utah FORGE Well 16A(78)-32 Simplified Discrete Fracture Network 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. This is a simplified DFN (discrete fracture network) dataset, that was generated using FracMan, for Utah FORGE well 16A(78)-32. A short, well-illustrated, report describing the data is also included in the provided archive file.

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Additional Info

DOE Project Name: Utah FORGE
DOE Project Number: EE0007080
DOE Project Lead: Lauren Boyd
DOI: 10.15121/1787506
Last Updated: 5 months ago
Data from June, 2021
Submitted Jun 2, 2021


Golder Associates Inc.



Publicly accessible License 


Aleta Finnila
Golder Associates Inc.


geothermal, energy, Utah FORGE, FORGE, Utah geothermal, reservoir, engineering, hydraulic, fracturing, EGS, DFN, discrete fracture network, well 16A78-32, Utah, Enhanced Geothermal System, Engineered Geothermal System, FracMan, Roosevelt Hot Springs, Roosevelt Hot Springs Geothermal Site, Milford, processed data, CSV, well, drilling, stimulation, pressure, model, modeling


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