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Utah FORGE 5-2615: Final Report for the Experimental Determination and Modeling-Informed Analysis of Thermo-Poromechanical Response of Fractured Rock

This is the final technical report documenting laboratory experiments and modeling conducted to characterize the thermo-poromechanical behavior of fractured crystalline rocks for application to Utah FORGE. The report includes measurements of poroelastic and thermo-poroelastic prop...

Ghassemi, A. The University of Oklahoma

Jun 30, 2025
1 Resources
0 Stars
Curated

Utah FORGE 5-2615: Well 58-32 and 78-32 Poroelastic Properties

This dataset contains laboratory measurements of poroelastic properties of granite samples from Utah FORGE wells 58-32 and 78-32. The data include permeability, grain bulk modulus, drained bulk modulus, Skempton's pore pressure coefficient, and Biot's effective stress coefficient....

Ghassemi, A. and Zhou, X. University of Oklahoma

Oct 31, 2022
4 Resources
0 Stars
Curated

Utah FORGE: Well 16A(78)-32 Stage 1 Pressure Falloff Analysis

This is an analysis of the pressure falloff in stage 1 fracture stimulation of FORGE well 16A(78)-32. The objective of this research is to understand the information content of the well stimulation data of FORGE Well 16A(78)-32. The Stage 1 step-rate test, a variant of the classic...

Kazemi, H. et al Colorado School of Mines

Aug 04, 2022
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Seismic DAS and Geophone Borehole Data Processing and 3D Imaging of Vp/Vs Ratio in the 2024 Stimulated Reservoir

This dataset includes a final report and a 3D velocity model derived from seismic DAS and geophone borehole data collected during the April 2024 stimulation of the reservoir at Utah FORGE. The report details the processing of over 50,000 P and S-wave travel times used in a tomogra...

Gritto, R. and Jarpe, S. EMR Solutions and Technology

Mar 17, 2025
2 Resources
0 Stars
Awaiting release

Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress Final Report

This comprehensive technical report documents a multi-component approach to in-situ stress characterization at the Utah FORGE EGS site that integrates Machine Learning (ML) methods for predicting near-well principal stresses around geothermal wells with the physics-based finite el...

Bunger, A. et al University of Pittsburgh

Dec 22, 2025
1 Resources
0 Stars
Curated

Utah FORGE: Deep Well 58-32 (MU-ESW1) Core Data

These datasets, images, and graphics were derived from core drilling and core that was extracted from Utah Forge deep well 58-32 (originally called MU-ESW1), near Roosevelt Hot Springs.

Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah

Apr 11, 2018
5 Resources
0 Stars
Publicly accessible