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DOE OSTI · 2440870

Utah FORGE: 2024 Discrete Fracture Network Model Data

Finnila, Aleta·Jones, Clay
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Abstract

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.

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15 GEOTHERMAL ENERGYcompressibilityDFNdiscrete fracture modellingDiscrete Fracture Network ModelEGSenergyfracturesgeothermalhydraulic stimulationMEQmodelmodelingpermeabilityplanar fracturesporosityprocessed datastochastic fracturesstoragetensile fracturesUtah FORGE

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Finnila, Aleta, Jones, Clay. 2024-09-08. Utah FORGE: 2024 Discrete Fracture Network Model Data. https://doi.org/10.15121/2440870

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