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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
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Utah FORGE: Powder X-ray Diffraction Data from Well 16A(78)-32 Core

This dataset from Lawrence Livermore National Laboratory (LLNL) consists of four raw X-ray diffraction (XRD) scans and preliminary results of quantitative XRD analysis. The scanned samples were prepared from four subcores, which came from various depths of the FORGE well 16A(78)-3...

Kroll, K. et al Lawrence Livermore National Laboratory

Jul 27, 2023
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Utah FORGE: Wells Wow2 and Wow3 Groundwater Monitoring Data

This dataset includes ground water level data for Utah FORGE Phase 2c ground water monitoring wells Wow2 and Wow3. The readme file explains the fields contained in the included Excel spreadsheet and contains the coordinates for the wells. The Excel spreadsheet contains raw data ta...

Kirby, S. Energy and Geoscience Institute at the University of Utah

Jun 20, 2019
2 Resources
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Utah FORGE 2439: A Multi-Component Approach to Characterizing In-Situ Stress

Core-based in-situ stress estimation, Triaxial Ultrasonic Velocity (labTUV) data, and Deformation Rate Analysis (DRA) data for Utah FORGE well 16A(78)-32 using triaxial ultrasonic velocity and deformation rate analysis. Report documenting a multi-component approach to characterizi...

Bunger, A. et al Battelle Memorial Institute

Dec 13, 2022
4 Resources
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Utah FORGE: Well 16A(78)-32 Core Analysis Results

This dataset features petrographic, X-Ray Diffraction (XRD), and Scanning Electron Microscopy Analyses of core samples from well 16A(78)-32, which serves as the injection well for the Utah FORGE Enhanced Geothermal System (EGS) project. In addition to an overview of the analysis,...

Jones, C. et al Energy and Geoscience Institute at the University of Utah

Sep 22, 2023
1 Resources
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Utah FORGE: Borehole PSS Tools Status Report

This report summarizes the data quality from the Utah FORGE borehole passive seismic sensors (PSS) tools at well sites 58-32 and 78B-32. Two level Avalon tools were installed on 09-28-2022 and 09-29-2022 by representatives from Avalon, Schlumberger, University of Utah, and Instrum...

Stachnik, J. Instrumental Software Technologies, Inc.

Dec 29, 2022
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Utah FORGE: Evaluation of Potential Geochemical Responses to Injection in the FORGE Geothermal Reservoir

Plugging of fracture porosity from mineral precipitation due to injecting cold water into a a geothermal reservoir can impact the overall permeability of the fracture network in the reservoir. This can have serious ramifications on the efficiency of the geothermal resource. Geoche...

Patil, V. and Simmons, S. Energy and Geoscience Institute at the University of Utah

Apr 03, 2019
1 Resources
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Utah FORGE: Seismic Stations and Wells GPS Survey Data, 2021

This is a CSV spreadsheet containing UTM and Latitude and Longitude coordinates and elevations for Wells 78-32, 58-32, and 16A(78)-32 and BOR1, BOR2, BOR3, FOR2, FOR5, FORK, FORU, and FORW seismic stations. These are from a GPS survey conducted by the Utah Geological Survey in Jun...

Erickson, B. Utah Geological Survey

Jun 30, 2021
1 Resources
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Utah FORGE: Regional Well Locations

This archive contains a GIS point feature shapefile that shows the locations of wells in the general region of the Utah FORGE project, near Roosevelt Hot Springs. This includes Utah FORGE deep well 58-32 and wells for which data has been uploaded to the Geothermal Data Repository....

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

Feb 22, 2018
1 Resources
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Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report

This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...

Mustafa, A. et al Battelle Memorial Institute

Sep 28, 2023
3 Resources
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Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events

This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting events from the borehole seismic sensors. To be effective once deployed, the process ...

Williams, J. et al Global Technology Connection, Inc.

Jan 21, 2025
3 Resources
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Utah FORGE 3-2417: Pulsed Interference Tests at Wells 16A(78)-32 and 16B(78)-32 September 2024

This archive contains data and a report from Pulse Interference Tests (PITs), which were conducted on September 4, 2024, immediately following a 30-day recirculation test at the Utah FORGE site. Injection and backflow were induced in well 16A(78)-32 while pressures were measured i...

W Becker, M. et al Rice University

Mar 18, 2025
3 Resources
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Utah FORGE 2-2404: Determination of Reservoir-Scale Stress State Presentation Slides

This PowerPoint summarizes the integration of multiple approaches and data to constrain wellbore stress models at Utah FORGE. This stress determination used faulting theory, breakouts, and drilling-induced cracks detected in image logs. Wellbore stress profiles were established f...

Ghassemi, A. et al The University of Oklahoma

Jul 31, 2022
1 Resources
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Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling

This dataset includes reports and a slide presentation on discrete fracture network (DFN) generation and hydraulic fracture modeling at the Utah FORGE site. It details the characterization of natural fractures using well log and core data, as well as stochastic modeling techniques...

Sharma, M. and Cao, M. University of Texas

Feb 07, 2023
1 Resources
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Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study

This is data from and a final report on the development of a 3D velocity model for the larger FORGE area and on the seismic resolution in the stimulated fracture volume at the bottom of well 16A-32. The velocity model was developed using RMS velocities of the seismic reflection su...

Vasco, D. and Chan, C. Array Information Technology

Apr 30, 2022
2 Resources
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Utah FORGE: Seismograph Station Information and Data

This link leads to the University of Utah Seismograph Stations website Utah FORGE seismograph stations page. This page contains a location map and description of the Utah FORGE seismograph stations and other related information. Additionally, data can be downloaded for each statio...

Pankow, K. University of Utah Seismograph Stations

Jan 26, 2021
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Utah FORGE: Phase 3 Ground Water Level Monitoring Data

Groundwater data around the Utah FORGE site has been collected to determine the piezometric levels and compositional variability. Field measurements in 2020 are designed to obtain and survey new groundwater wells that have been drilled on the distal periphery of the Utah FORGE pro...

Kirby, S. Utah Geological Survey

Sep 30, 2020
1 Resources
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Utah FORGE 2-2446: Characterizing Stress Roughness Through Simulation of Hydraulic Fracture Growth

This dataset covers work that investigated the apparent toughness anisotropy at Utah FORGE by comparing microseismic data with stress profiles from field measurements. The study analyzes the hydraulic fracture growth of Stage 3 at Well 16A(78)-32 using MEQ data, calibrating a nume...

Cusini, M. and Fei, F. Lawrence Livermore National Laboratory

Jan 30, 2025
3 Resources
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Utah FORGE: Triaxial Direct Shear Results February 2025

This dataset contains results from nine triaxial direct shear tests conducted by Los Alamos National Laboratory on samples from FORGE Well 16A(78)-32. The primary objectives of this work were to determine the shear strength in both intact and residual states, evaluate dilation aga...

Frash, L. et al Los Alamos National Laboratory

Feb 28, 2025
1 Resources
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Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)

Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy. Objective and Purpose: Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS sys...

Norbeck, J. et al Fervo Energy

Feb 08, 2023
3 Resources
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Cape EGS: Frisco Pad Wells Flow Test Microseismic Data

This dataset contains microseismic data acquired during the Frisco pad flow test project led by Fervo Energy, conducted between July 17th Aug 12th 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed Acoustic...

Dadi, S. and Kanu, O. Fervo Energy

Nov 06, 2024
5 Resources
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Utah FORGE: Fiber Optic Cumulative Strain Change and Strain Change Rate Data From Well 16A Stimulation at Well 16B

This dataset includes Rayleigh Frequency Shift (RFS) Distributed Strain Sensing (DSS) cumulative strain change and change rate data. The data was acquired during the stimulation of Utah FORGE Well 16A(78)-32 in April 2024 via fiber installed in Well 16B(78)-32. The fiber optic da...

Khatara, S. et al Neubrex Energy Services (US), LLC

Nov 06, 2024
2 Resources
0 Stars
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Utah FORGE: Hydraulic Fracture Width Determination Using Stoneley Wave Pressure Testing and Electrical Borehole Scans

This report provides insights into Utah FORGE well 58-32's hydraulic fractures. It utilizes both electrical borehole scans from Schlumberger's Formation Micro-scanner Image tool (FMI) and Stoneley waves from a borehole sonic tool. These methods are combined in a comprehensive work...

Hornby, B. Hornby Geophysical Services, LLC

Oct 06, 2023
1 Resources
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Utah FORGE: InSAR Data 2019

This dataset contains Interferometric Synthetic Aperture Radar (InSAR) data used for ground deformation monitoring during Phase 2C of the Utah FORGE project. The dataset includes measurements of the mean rate of range change and associated standard errors, provided in both CSV and...

Feigl, K. et al Energy and Geoscience Institute at the University of Utah

Jul 01, 2019
2 Resources
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Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions

This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...

Kelley, M. et al Battelle Memorial Institute

Jun 19, 2023
1 Resources
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