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.
16A DFN Permeability Tensor Data.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 ... more