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Utah FORGE 5-2615: Thermo-poromechanical Response of Fractured Rock Workshop Presentation
This is a presentation on the Experimental Determination and Modeling-Informed Analysis of Thermo-poromechanical Response of Fractured Rock for Application to Utah FORGE project by the University of Oklahoma, presented by Dr. Ahmad Ghassemi, McCasland Chair Prof. The project objec...
Ghassem, A. University of Oklahoma
Sep 08, 2023
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Utah FORGE: Phase 3 Native State Model 2022 Update
This is the Phase 3 native state model update. The Phase 3 numerical model represents a significant subsurface volume below the FORGE site footprint. The model domain of 4.0 km x 4.0 km x 4.2 km is located approximately between depths of 4000 to 4200 meters below land surface. Thi...
Podgorney, R. and Liu, R. Idaho National Laboratory
Jul 29, 2022
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Utah FORGE: Sanvean Technologies Drilling Data from Well 16B(78)-32
Included here is Sanvean Technologies bit sensor data amalgamated with data from National Oilwell Varco's (NOV) BlackBox tool for Reed Hycalog bits used during drilling of Well 16B(78)-32. The dataset contains information collected at the bit while drilling including rate of penet...
Barker, C. Energy and Geoscience Institute at the University of Utah
Oct 26, 2023
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Utah FORGE: Direct Shear Test Data for Investigating Seismic Precursors to Shear Failure of Fractures
This dataset includes results of direct shear tests to investigate the mechanical and geophysical response of dry and saturated fractures in Indiana limestone and Sierra White granite. Direct shear tests were performed on tensile-induced fractures in Indiana limestone and Sierra W...
Han, K. et al Purdue University
Jun 11, 2024
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Utah FORGE: 2024 Discrete Fracture Network Model Data
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 ...
Finnila, A. and Jones, C. Energy and Geoscience Institute at the University of Utah
Sep 08, 2024
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Utah FORGE: Well 58-32 Stimulation Conference Paper and Data
The U.S. Department of Energy's (U.S. DOE) Frontier Observatory for Research in Geothermal Energy (FORGE) is a field laboratory that provides a unique opportunity to develop and test new technologies for characterizing, creating and sustaining Enhanced Geothermal Systems (EGS) in ...
Best, S. Energy and Geoscience Institute at the University of Utah
Apr 24, 2019
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements
The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. FORGE project 3-2535 is planning on using a casing source ...
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
Dec 01, 2022
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Utah FORGE: Chemical-Based Tool Deployment Data for Inflow Detection at Wells 58-32 and 16B(78)-32 Summer 2024 Circulation Test
This dataset comprises field logging data collected during chemical-based tool deployments at the Utah FORGE geothermal site, specifically at monitoring well 58-32 and production well 16B(78)-32. Data acquisition occurred during the Summer 2024 circulation testing campaign, with t...
Sausan, S. et al Stanford University
Mar 31, 2025
12 Resources
0 Stars
Curated
12 Resources
0 Stars
Curated
Utah FORGE: Well 16A(78)-32 Logs
This dataset contains all well logs from Utah FORGE well 16A(78)-32. This includes the mud log, Sanvean Technologies logs, and Schlumberger logs. Please see the file descriptions below for information about each log.
Gilmour, B. et al Energy and Geoscience Institute at the University of Utah
Mar 08, 2021
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
Utah FORGE: Triggered DAS and Continuous Downhole Geophone Data from April 2024 Stimulations
This dataset contains distributed acoustic sensing (DAS) and downhole geophone data collected during the April 2024 stimulation experiments at the Utah FORGE site. DAS data were acquired from well 16B(78)-32 by Neubrex and processed by GeoEnergie Suisse (GES), covering the period ...
Dyer, B. et al Energy and Geoscience Institute at the University of Utah
Apr 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Utah FORGE: Logs and Data from Deep Well 58-32 (MU-ESW1)
Data, logs, and graphics associated with the drilling and testing of Utah FORGE deep test well 58-32 (MU-ESW1) near Roosevelt Hot Springs.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Apr 11, 2018
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models
This dataset includes the data and a report on the large upscaled discrete fracture network modeling done for the Utah FORGE project in 2023. The FORGE modeling team is making five discrete fracture network (DFN) realizations of a large reservoir model available to researchers. Th...
Finnila, A. Energy and Geoscience Institute at the University of Utah
Oct 02, 2023
17 Resources
0 Stars
Publicly accessible
17 Resources
0 Stars
Publicly accessible
Utah FORGE: Discrete Fracture Network (DFN) 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 1...
Finnila, A. and Podgorney, R. Golder Associates Inc.
Jun 24, 2020
66 Resources
0 Stars
Publicly accessible
66 Resources
0 Stars
Publicly accessible