Description
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.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| 16A DFN Permeability Tensor Data.zip | ZIP | The files in this GDR contribution provide supplementary data for the Utah FORGE Well 16A(78)-32 Simplified Discrete Fracture Network Data dated June 22, 2021. For the three Discrete Fracture Network (DFN) realizations provided, the six unique tensor values for fracture permeability are provided in both the global UTM coordinates and the local coordinate frame used for the June 22, 2021 submission. There is a Readme PDF file included in this submission that provides additional details. | Open resource |
| 16A DFN Permeability Tensor README.pdf | README file providing additional information about the 16A DFN permeability tensor data. | Open resource | |
| Simplified DFN for FORGE 16A Stimulation April 2021.zip | ZIP | Well 16A(78)-32 DFN data and short report in a .zip archive. | Open resource |
Tags
- csv
- dfn
- discrete-fracture-network
- drilling
- egs
- energy
- engineered-geothermal-system
- engineering
- enhanced-geothermal-system
- forge
- fracman
- fracturing
- geothermal
- hydraulic
- milford
- model
- modeling
- pressure
- processed-data
- reservoir
- roosevelt-hot-springs
- roosevelt-hot-springs-geothermal-site
- stimulation
- utah
- utah-forge
- utah-geothermal
- well
- well-16a78-32