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Tularosa Basin Play Fairway Analysis: Raw MT Data for the McGregor Range, Fort Bliss, New Mexico

This is a zipped file containing raw magnetotelluric (MT) data collected as part of the Phase 2 Tularosa Basin geothermal play fairway analysis project in New Mexico. The data for each MT station are in standard .edi text files which are accompanied by graphic files illustrating d...

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

Jan 01, 2017
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Utah FORGE 8-3637: Integrated Diagnostics for Interpreting Doublet Heat Sweep Efficiency 2024 Annual Workshop Presentation

This is a presentation on the Integrated Diagnostics for Interpreting Doublet Heat Sweep Efficiency by Texas Tech University, presented by Smith Leggett. This video slide presentation discusses the ID squared technical objectives to develop and integrate diagnostic tools to deter...

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

Sep 14, 2024
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Utah FORGE: Well 56-32 Drilling Data and Logs

This dataset consists of drilling data (Pason data spreadsheets, daily reports, days v. depth, mud logs), Schlumberger logs (FMI, shear anisotropy analysis, memory, sonic, array induction/spectral density/dual spaced neutron/gamma ray/caliper, spectral GR/temperature, and Gardner ...

Bristol, J. et al Energy and Geoscience Institute at the University of Utah

Mar 19, 2021
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Utah FORGE: Report on the Thermal Properties of Wells 16A(78)-32 & 58-32 Granite

This is a report from Metarock Laboratories on the thermal properties of Utah FORGE wells 16A(78)-32 & 58-32 granite. The report includes pictures of core samples, core details for the samples (where the sample was taken and the size of the sample), sample thermal expansion test r...

Laboratories, M. et al Energy and Geoscience Institute at the University of Utah

May 04, 2021
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Utah FORGE: Well 16B(78)-32 Cuttings X-Ray Diffraction Data

X-ray diffraction (XRD) results from cuttings samples collected during drilling of Utah FORGE well 16B(78)-32. The dataset includes XRD data for 77 samples taken between 3,120 and 10,977 feet measured depth (from the Kelly Bushing, 31 feet above ground level), with sampling interv...

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

Apr 20, 2025
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Utah FORGE: Targeting Geothermal Resources with Geodetic Strain Data Paper

The paper linked below offers an initial assessment of a new method to target potential geothermal resources on the regional scale. The method is based on seeking relationships between geologic structures and geodetic observations of regional tectonic strain.

Blewitt, G. et al Energy and Geoscience Institute at the University of Utah

Oct 01, 2004
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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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Geothermal Exploration Raster Files for Utah Play Fairway Analysis

This submission contains raster files associated with several datasets that include earthquake density, Na/K geothermometers, fault density, heat flow, and gravity. Integrated together using spatial modeler tools in ArcGIS, these files can be used for play fairway analysis in rega...

Wannamaker, P. Energy and Geoscience Institute at the University of Utah

Jun 16, 2017
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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 3-2514: Strain Sensing Array for Deformation Characterization 2024 Annual Workshop Presentation

This is a presentation on the Strain Sensing Array to characterize deformation at the FORGE site project by Clemson University, presented by Lawrence Murdoch. The project's objective was to evaluate the feasibility of measuring and interpreting tensor strain data to improve the pe...

Murdoch, L. et al Energy and Geoscience Institute at the University of Utah

Aug 13, 2024
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Utah FORGE 3-2417: Fiber-Optic Geophysical Monitoring of Reservoir Evolution 2024 Annual Workshop Presentation

This is a presentation on the Fiber-Optic Geophysical Monitoring of Reservoir Evolution by Rice University, presented by Jonathan Ajo-Franklin. This video slide presentation discusses the development of an end-to-end fiber-optic sensing approach for EGS to track the (1) initial zo...

Ajo-Franklin, J. et al Energy and Geoscience Institute at the University of Utah

Aug 13, 2024
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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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