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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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1 Resources
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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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1 Resources
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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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2 Resources
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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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1 Resources
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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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