Utah FORGE: 2024 Discrete Fracture Network Model Data

Description

The Utah FORGE 2024 Discrete Fracture Network (DFN) Model dataset provides a set of files representing discrete fracture network modeling for the FORGE site near Milford, Utah. The dataset includes four distinct DFN model file sets, each corresponding to different time frames and modeling approaches in 2024. These models characterize both natural and induced fractures in the geothermal reservoir, which consists of crystalline granitic and metamorphic rock approximately 8,000 feet below the ground surface. The dataset includes a reference DFN model from February 2024 that incorporates planar fractures and well trajectories, as well as upscaled permeability, porosity, compressibility, and storage values on specified grids. Additionally, there are models based on new microseismic (MEQ) data from May and July 2024, including fracture planes fitted to the latest MEQ catalog datasets, tensile fractures from hydraulic stimulation, and an alternative connected DFN for modeling purposes. Coordinate data is provided in both global and local frames, with detailed instructions on the transformations used to align with principal stress orientations. The dataset also includes notes and calculation files for estimating fracture sizes and differences between various fracture sets. There are subfolders for Global Coordinates and Local Coordinates. To move from the global to the local coordinate frame, fractures and wells were a) rotated 20 degrees counterclockwise looking down about the global point (335376.400482041, 4263189.99998761, 250.093546450195) to better align with the principal stresses; and b) translated by (-335408.68, -4263010.9, 1150). Upscaled permeability values using the _XYZ suffix show directions with respect to the global XYZ coordinate frame, while those using the _IJK suffix are aligned with local coordinate frame.

Resources

Name Format Description Link
33 This associated paper, "Updated Reference Discrete Fracture Network Model at Utah FORGE" by Aleta Finnila and Clay Jones, presents an updated model of the discrete fracture network (DFN) at the Utah FORGE site, used to characterize natural and induced fractures within the geothermal reservoir. The study integrates new data from recent wells, applying k-means clustering to analyze fracture orientations, intensities, and lithologic boundaries. The updated model supports simulations of geothermal processes such as hydraulic stimulation, stress evolution, and thermal flow. https://pangea.stanford.edu/ERE/pdf/IGAstandard/SGW/2024/Finnila.pdf
57 2024 05 May New MEQ DFN.zip includes fracture planes fit to the latest MEQ catalog data sets along with new tensile fractures for each stimulated stage in well 16A(78)-32 and some connecting stochastic fractures. Some notes are included in a pdf file and calculating for estimating the sizes of the new tensile fractures are included in a spreadsheet. https://gdr.openei.org/files/1646/2024%2005%20May%20New%20MEQ%20DFN.zip
57 2024 07 July Updated MEQ DFN.zip includes an alternative, connected DFN, for modeling use. Some notes on the differences between these fracture sets and the previous one (May 2024) are provided in a pdf file. https://gdr.openei.org/files/1646/2024%2007%20July%20Updated%20MEQ%20DFN.zip
57 2024 02A Feb Reference DFN.zip includes planar fractures and well trajectories as described in the paper “Updated Reference Discrete Fracture Network Model at Utah FORGE” [Finnila and Jones, PROCEEDINGS, 49th Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California, February 12-14, 2024, SGP-TR-227] https://gdr.openei.org/files/1646/2024%2002A%20Feb%20Reference%20DFN.zip
57 2024 02B Feb Reference DFN.zip includes the upscaled permeability, porosity, compressibility, and storage values of the February 2024 Updated Referenced DFN at points in a 20 m and 10 m grid. Properties starting with “BG_” are upscaled values of the smaller background fractures (less than 20 m radius) and those starting with “Total_” are upscaled values including both the background fractures and the larger discrete DFN fractures. https://gdr.openei.org/files/1646/2024%2002B%20Feb%20Upscaled%20DFN.zip

Tags

  • storage
  • tensile-fractures
  • processed-data
  • modeling
  • discrete-fracture-network-model
  • egs
  • utah-forge
  • discrete-fracture-modelling
  • hydraulic-stimulation
  • dfn
  • compressibility
  • meq
  • fractures
  • permeability
  • model
  • stochastic-fractures
  • planar-fractures
  • porosity
  • geothermal
  • energy

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