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Utah FORGE 3-2418: Wellbore Fracture Imaging Using Inflow Detection 2024 Annual Workshop Presentation

This is a presentation on the Wellbore Fracture Imaging Using Inflow Detection by Stanford University and Sandia National Laboratory, presented by Roland Horde. This is a video presentation on wells, both before and after stimulation, using chloride or other ions to map fractures ...

Horne, R. and Schneider, M. Energy and Geoscience Institute at the University of Utah

Sep 13, 2024
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Utah FORGE 5-2428: Coupled Investigation of Fracture Permeability Impact on Reservoir Stress and Seismic Slip 2024 Annual Workshop Presentation

This is a presentation on the Coupled Investigation of Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior by Lawrence Livermore National Laboratory, presented by Kayla Kroll. This presentation addresses testing and modelling related to the dependency of EG...

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

Aug 27, 2024
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Utah FORGE: Leapfrog 3D Geologic Movie

This is a 3D geological movie of the Utah FORGE area created with Leapfrog Geothermal 3D modelling software. The movie shows the Utah FORGE site, wells, seismic and lithologic cross-sections, and rock unit tops. This illustrates the thick crystalline granitoid EGS reservoir.

Podgorney, R. Energy and Geoscience Institute at the University of Utah

May 18, 2018
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Utah FORGE: Well 16A(78)-32 Perforation Images and Raw Data

This archive contains raw data of visual and acoustic mapping of perforations in Utah FORGE well 16A(78)-32 acquired during the August 2024 circulation program. The dataset includes downhole images captured by EV, a downhole visual analytics company, providing visual records of ea...

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

Nov 05, 2024
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Utah FORGE: Well 16A(78)-32 2022 Stimulation Microseismic Report

This is a Utah FORGE well 16A(78)-32 stimulation microseismic detection and event location report from Silixa LLC. The report covers the digital acoustic sensing (DAS) data acquisition and analysis used to study microseismic events during the April, 2022 stimulations at well 16A(7...

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

Sep 26, 2022
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Utah FORGE 4-2492: Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery 2024 Annual Workshop Presentation

This is a presentation on the Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery Efficiency by The University of Texas at Austin, presented by Mukul M. Sharma. This video slide presentation discusses the following objectives: (1) to place fr...

Sharma, M. Energy and Geoscience Institute at the University of Utah

Sep 16, 2024
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Utah FORGE: Ground Motion Study Report

Paragon Geophysical contracted Urban Seismic Specialists to conduct A Ground Motion Study, on their Forge 3D project located near in Milford Utah .The test was conducted to measure the effects of the vibrator array on a pipeline owned by Kern River. Testing began November 22nd, an...

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

Mar 16, 2018
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Utah FORGE: Area Terrain Slope Data

This archive contains a terrain slope image, in units of degrees, of the Utah FORGE area near Roosevelt Hot springs. The data was derived from 0.5 m resolution LiDAR DEM data and is in a GeoTiff format. It was processed using ArcGIS.

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

Dec 10, 2018
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Utah FORGE: Well 78-32 Capacity Test

This dataset includes an Excel spreadsheet with Utah FORGE Phase 2c Well 78-32 capacity data. It also includes a readme file discussing the data which also includes the well coordinates.

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

Jun 20, 2019
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Utah FORGE: Well 16A(78)-32 X-ray Diffraction Data

This submission contains x-ray diffraction data taken from 3,600 to 10,987 feet deep in well 16A(78)-32 in the Roosevelt Hot Springs Geothermal Area as part of the Utah FORGE project. 78 rock samples were taken. Samples are taken in a range of ten feet at 100 foot increments. Mine...

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

Jul 29, 2021
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Utah FORGE 5-2419: Seismicity-Permeability Relationships Probed via Nonlinear Acoustic Imaging 2024 Annual Workshop Presentation

This is a presentation on Seismicity-Permeability Relationships Probed via Nonlinear Acoustic Imaging by Pennsylvania State University, presented by Derek Elsworth. This video slide presentation discussed controls and acoustic signatures of aseismic through seismic evolution of re...

Elsworth, D. et al Energy and Geoscience Institute at the University of Utah

Sep 05, 2024
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Utah FORGE: Well 58-32 (MU-ESW1) FMI Log Fracture Results

A Schlumberger Fullbore Formation Micro-Imager (FMI) log was run from 7390 feet to 7527 feet depth in well 58-32, originally known as well MU-ESW1. Well 58-32 was completed in 2017 as part of Utah FORGE Phase 2. It reached a depth of 7536 feet and recorded a bottom hole temperatur...

BLOCHOWICZ, A. Energy and Geoscience Institute at the University of Utah

Mar 06, 2021
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Utah FORGE: Well 16A(78)-32 Core Photos

Images of core samples collected from Utah FORGE well 16A(78)-32. These images were created by stitching together multiple photographs resulting in a circumferential view of the cores exterior in two dimensions. Core footages (measured depths) are indicated in the file names, and ...

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

Aug 11, 2021
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Utah FORGE: 2019 ARMA Overview Slide Presentation

This is an overview presentation of the Utah FORGE project given by Joseph Moore, Ph.D., at the 2019 American Rock Mechanics Associate meeting. It details the state of the Utah FORGE project at on 8/17/2019.

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

Aug 17, 2019
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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
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