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Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2024 Annual Workshop Presentation
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to estimate...
Williams, J. Energy and Geoscience Institute at the University of Utah
Sep 17, 2024
1 Resources
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1 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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3 Resources
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Utah FORGE 3-2535: Preliminary Report on Development of a Reservoir Seismic Velocity Model
This report describes the development of a preliminary 3D seismic velocity model at the Utah FORGE site and first results from estimating seismic resolution in the generated fracture volume during Stage 3 of the April 2022 stimulation.
A preliminary 3D velocity model for the larg...
Gritto, R. Array Information Technology
Jan 30, 2023
1 Resources
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1 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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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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3 Resources
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Utah FORGE 5-2565: Evolution of Permeability and Strength Recovery of Shear Fractures Under Hydrothermal Conditions 2024 Annual Workshop Presentation
This is a presentation on the Evolution of Permeability and Strength Recovery of Shear Fractures Under Hydrothermal Conditions by United States Geological Survey, presented by Tamara Jeppson. This video slide presentation, by the USGS, discusses the determination of how thermal, ...
Jeppson, T. et al Energy and Geoscience Institute at the University of Utah
Sep 15, 2024
1 Resources
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1 Resources
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Utah FORGE 5-2615: Shear Enhanced Permeability In a Granitoid Fracture Presentation Slides
Provided here is a set of presentation slides detailing stress-dependent permeability in FORGE granitoid fractures and how fracture slip affects permeability. It outlines empirical correlations between permeability, stress, and fracture aperture, emphasizing that mechanically clos...
Ghassemi, A. and Ye, Z. University of Oklahoma
Feb 28, 2024
1 Resources
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1 Resources
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Utah FORGE 5-2565: Hydrothermal Evolution of Fracture Properties Workshop Presentation
This is a presentation on the Evolution of Permeability and Strength Recovery of Shear Fractures Under Hydrothermal Conditions project by the U.S. Geological Survey, presented by Dr. David Lockner. The project's objective was to determine how thermal, hydraulic, mechanical, and ch...
Lockner, D. et al United States Geological Survey
Sep 08, 2023
1 Resources
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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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2 Resources
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Utah FORGE: Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores
This paper discusses the progress on a project funded by the DOE Utah FORGE (Frontier Observatory for Research in Geothermal Energy) for the development of a subsurface heat exchanger for Enhanced Geothermal Systems (EGS) using unique casing sleeves cemented in place and are used ...
Fleckenstein, W. et al Colorado School of Mines
Oct 05, 2022
1 Resources
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Publicly accessible
1 Resources
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Publicly accessible
Utah FORGE: 2024 Annual Report on Activities and Advancements
This 2024 annual report for Phase 3B Year 2 at Utah FORGE provides an in-depth account of activities and advancements made at the site. Key achievements include drilling and stimulating the production well 16B(78)-32, creating a geothermal reservoir, and achieving commercial-scale...
McLennan, J. et al Energy and Geoscience Institute at the University of Utah
Jan 27, 2025
1 Resources
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1 Resources
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