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Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements 2024 Annual Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by The University of Pittsburgh, presented by Andrew Bunger. The project characterizes the stress in the Utah FORGE EGS...
Bunger, A. Energy and Geoscience Institute at the University of Utah
Sep 04, 2024
1 Resources
0 Stars
Publicly accessible

Utah FORGE 2-2446: Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity Workshop Presentation

This is a presentation on the Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity project by Lawrence Livermore National Laboratory, presented by Dr. Matteo Cusini. The project's objective was to employ a combination of high-fidelity simulations and true...
Cusini, M. and Bunger, A. Lawrence Livermore National Laboratory
Sep 08, 2023
1 Resources
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Utah FORGE 2-2446: Closing the Loop Between In-Situ Stress Complexity and EGS Fracture Complexity 2024 Annual Workshop Presentation

This is a presentation on Closing the Loop Between In-Situ Stress Complexity and EGS Fracture Complexity by Lawrence Livermore National Laboratory, presented by Matteo Cusini. The video discusses the combination of high-fidelity simulations and true-triaxial block fracturing tests...
Cusini, M. et al Energy and Geoscience Institute at the University of Utah
Aug 26, 2024
1 Resources
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Utah FORGE 2-2446: Connecting In Situ Stress and Wellbore Deviation to Near-Well Fracture Complexity using Phase-Field Simulations

This report presents a series of numerical experiments investigating the relationships among near-well fracture complexity, in situ stress conditions, and wellbore deviation. Using a phase-field modeling approach, the study explores how factors such as stress regimes, wellbore ori...
Cusini, M. and Fei, F. Lawrence Livermore National Laboratory
Jan 30, 2025
2 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the U...
Kelley, M. and Bunger, A. Battelle Memorial Institute
Sep 08, 2023
1 Resources
0 Stars
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Utah FORGE 2-2446: Report on Laboratory Block Experiments with Six Different Combinations of Stresses and Rock Fabrics

This report documents a series of block-scale hydraulic fracturing experiments, simulating Utah FORGE conditions to investigate how different combinations of in situ stress regimes, well orientations, and thermal stress conditions influence fracture initiation and propagation. The...
Bunger, A. and Lu, Y. Lawrence Livermore National Laboratory
Jan 30, 2025
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Stress Logging Data

This spreadsheet consist of data and graphs from deep well 58-32 stress testing from 6900 7500 ft depth. Measured stress data were used to correct logging predictions of in situ stress. Stress plots shows pore pressure (measured during the injection testing), the total vertical in...
McLennan, J. Energy and Geoscience Institute at the University of Utah
Mar 14, 2018
1 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

Utah FORGE 2-2446: Report on Phase Field Modelling of Near-Wellbore Hydraulic Fracture Nucleation and Propagation

This is a report that describes the modelling of fracture nucleation and propagation in the near-wellbore region to understand the relationship between in situ stress and fracture patterns. A novel phase field formulation is described here, which represents fractures as a diffuse ...
Cusini, M. and Fei, F. Lawrence Livermore National Laboratory
Dec 31, 2023
1 Resources
0 Stars
Publicly accessible

Method to Recover Media Ligand Losses During Sorption of Rare Earth Elements from Simulated Geothermal Brines

This document describes the method and results of an in-situ experiment used to confirm that ligand bleed from a sorptive media can be contained. The experiment focused on maintaining the media's sorption of rare earth elements (REE) obtained from a simulated geothermal brine dop...
Stull, D. Tusaar Corp.
May 24, 2016
2 Resources
0 Stars
Publicly accessible

Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...
Lu, G. et al University of Pittsburgh
Aug 30, 2024
2 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

Utah FORGE 2-2404: Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE Workshop Presentation

This is a presentation on the Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE project by the University of Oklahoma, presented by Dr. Ahmad Ghassemi, McCasland Chair Professor. The project's objective was to develop a methodology ...
Ghassemi, A. University of Oklahoma
Sep 08, 2023
1 Resources
0 Stars
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Utah FORGE 2-2404: Application of Advanced Techniques for Determination of Reservoir-Scale Stress State 2024 Annual Workshop Presentation

This is a presentation on the Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at FORGE by the University of Oklahoma, presented by Ahmad Ghassemi. This video discusses how magnitude and orientation of natural in-situ principal stresses at dept...
Ghassemi, A. et al Energy and Geoscience Institute at the University of Utah
Aug 28, 2024
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Well 16B(78)-32 Drill Core Fracture Analysis Images and Data

This dataset contains drilling core data from well 16B(78)-32, including PDF documents with flattened core images annotated by feature type and core interval, as well as spreadsheets detailing feature morphologies by depth, planar feature measurements, and planar feature orientati...
Jones, C. Energy and Geoscience Institute at the University of Utah
Jan 29, 2025
1 Resources
0 Stars
Publicly accessible

Hybrid machine learning model to predict 3D in-situ permeability evolution

Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Elsworth, D. and Marone, C. Pennsylvania State University
Nov 22, 2022
4 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

Community Geothermal: Final Thermal Conductivity Test Report and Data Logs Carbondale, CO

Provided here are a final thermal conductivity test report, a drilling log, and a heat rejection log from Carbondale, CO. Also attached is a report made before drilling, which contains predictions on the hydrogeologic conditions of the drill site. The forty-eight (48.9) hour in-si...
Ewbank, G. et al Clean Energy Economy for the Region (CLEER)
Oct 20, 2023
4 Resources
0 Stars
Publicly accessible

Cape EGS: Gold 6-IB: Mudlog, Mass spectrometry, and Dipole sonic-derived geomechanical Data

1. Mudlogs Mudlogs provide lithological information based on the analysis of drill cuttings and observed drilling parameters. These logs allow for the identification of formation changes, rock types, and basic mineral composition. They offer a continuous lithostratigraphic record ...
Dadi, S. and Adams, T. Fervo Energy
Apr 30, 2025
5 Resources
0 Stars
Awaiting curation

STRESSINVERSE Software for Stress Inversion

The STRESSINVERSE code uses an iterative method to find the nodal planes most consistent with the stress field given fault frictional properties. STRESINVERSE inverts the strike, rake and dip from moment tensor solutions for the in-situ state of stress. The code iteratively solves...
Gritto, R. Array Information Technology
Oct 31, 2018
1 Resources
0 Stars
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Newberry EGS Demonstration: Initial Project Report and Induced Seismicity Mitigation Plan, 2011

This is the first project report and induced seismicity mitigation plan for the Newberry Enhanced Geothermal Systems (EGS) Demonstration project. The primary objectives of this first phase were to obtain necessary permits and comply with all regulations, including NEPA, communica...
Cladouhos, T. et al AltaRock Energy Inc
May 05, 2024
4 Resources
0 Stars
Publicly accessible

Cape EGS: Gold 4-PB: Mudlog, Mass spectrometry, Triple combo, and Dipole sonic-derived geomechanical data

1. Mudlogs Mudlogs provide lithological information based on the analysis of drill cuttings and observed drilling parameters. These logs allow for the identification of formation changes, rock types, and basic mineral composition. They offer a continuous lithostratigraphic record ...
Dadi, S. and Adams, T. Fervo Energy
Apr 30, 2025
6 Resources
0 Stars
Awaiting curation

In-Situ Process for Sorption and Stripping of Rare Earth Elements from Simulated Geothermal Brine

Description of a conceptual commercial process to remove rare earth elements (REEs) from geothermal brine, based on a small-scale laboratory experiment to load, strip, and regenerate a ligand-based media used to adsorb REEs from a simulated brine doped with known mineral concentra...
Stull, D. Tusaar Corp.
May 24, 2016
1 Resources
0 Stars
Publicly accessible

Using Fully Coupled Hydro-Geomechanical Numerical Test Bed to Study Reservoir Stimulation with Low Hydraulic Pressure

This paper documents our effort to use a fully coupled hydro-geomechanical numerical test bed to study using low hydraulic pressure to stimulate geothermal reservoirs with existing fracture network. In this low pressure stimulation strategy, fluid pressure is lower than the minimu...
Fu, P. et al Lawrence Livermore National Laboratory
Jan 31, 2012
2 Resources
0 Stars
Publicly accessible
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