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Utah FORGE: Neubrex Well 16B(78)-32 Stimulation Fiber Optic Monitoring Reports April and May, 2024
These reports contain information on the distributed temperature sensing (DTS), distributed strain sensing (DSS), and pressure monitoring during the stimulation of Well 16(B)78-32 at Utah FORGE, in April and May 2024. Reports include information on data collection and calibrations...
Jurick, D. and Guzik, D. Neubrex Energy Services (US), LLC
Apr 30, 2024
3 Resources
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3 Resources
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Utah FORGE: Well 16B(78)-32 Extended Dual Well Circulation Testing Fiber Optic Monitoring Report August 2024
This report documents the post-hydraulic fracturing extended circulation test between Utah FORGE wells 16A and 16B conducted in August 2024. In well 16B, fiber optic measurements of Rayleigh frequency shift distributed strain sensing (RFS-DSS) and distributed temperature sensing ...
Jurick, D. et al Neubrex Energy Services (US), LLC
Aug 30, 2024
1 Resources
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1 Resources
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Utah FORGE: Well 16B(78)-32 Drilling Data
This drilling data for Utah FORGE well 16B(78)-32 include a well survey, core summary, mud and mud temperature logs, daily reports of the drilling process, and additional data from the Pason oil and gas company. Well 16B(78)-32 serves as the production well for reservoir creation...
McLennan, J. et al Energy and Geoscience Institute at the University of Utah
Jul 03, 2023
9 Resources
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9 Resources
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Newberry EGS Demonstration: Well 55-29 Stimulation Data
The Newberry Volcano EGS Demonstration in central Oregon, a 3 year project started in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ...
T., T. AltaRock Energy Inc
Dec 08, 2012
136 Resources
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136 Resources
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Simulation Tools for Modeling Thermal Spallation Drilling on Multiple Scales
Widespread adoption of geothermal energy will require access to deeply buried resources in granitic basement rocks at high temperatures and pressures. Exploiting these resources necessitates novel methods for drilling, stimulation, and maintenance, under operating conditions that ...
Walsh, S. et al Lawrence Livermore National Laboratory
Jan 01, 2012
1 Resources
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1 Resources
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3D Model of the McGinness Hills Geothermal Area
The McGinness Hills geothermal system lies in a ~8.5 km wide, north-northeast trending accommodation zone defined by east-dipping normal faults bounding the Toiyabe Range to the west and west-dipping normal faults bounding the Simpson Park Mountains to the east. Within this broad ...
E. Faulds, J. University of Nevada
Dec 31, 2013
1 Resources
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1 Resources
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West Flank Coso FORGE: ArcGIS Data for Geologic Model
Archive of ArcGIS data from the West Flank FORGE site located in Coso, California. Archive contains the following eight shapefiles:
Polygon of the 3D geologic model (WestFlank3DGeologicModelExtent)
Polylines of the traces 3D modeled faults (WestFlank3DModeledFaultTraces)
Polyline...
Sandia National Laboratories
Mar 01, 2016
2 Resources
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2 Resources
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Fallon FORGE: 3D Geologic Model
The 3D geologic model for the Fallon for site was constructed in EarthVision software using methods similar to (Moeck et al., 2009, 2010; Faulds et al., 2010b; Jolie et al., 2012, 2015; Hinz et al., 2013a; Siler and Faulds, 2013; Siler et al., 2016a, b) References are included in ...
Blankenship, D. and Siler, D. Sandia National Laboratories
Mar 01, 2018
1 Resources
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1 Resources
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Utah FORGE: Well 58-32 Schlumberger FMI Logs DLIS and XML files
This zipped data set includes Schlumberger FMI logs DLIS and XML files from Utah FORGE deep well 58-32. These include runs 1 (2226-7550 ft) and 2 (7440-7550 ft). Run 3 (7390-7527ft) was acquired during phase 2C.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Nov 17, 2017
4 Resources
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4 Resources
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Utah FORGE Induced Seismicity Mitigation Plan
This is the current induced seismicity mitigation plan (ISMP) for the Utah FORGE project. Information that was collected during Phases 1 and 2 of the Utah FORGE project has been incorporated, as have literature searches and risk assessments. The purpose of this report is to identi...
Utah, U. et al Energy and Geoscience Institute at the University of Utah
Dec 30, 2020
2 Resources
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2 Resources
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Literature Data on Foam Fracturing Fluid
At the beginning of this project, the Temple team spent significant effort to collect data relevant to foam fracturing. More than 40 articles/reports were found in the open literature that reported the properties of aqueous foams under various testing conditions. The foam properti...
Thakor, V. et al Temple University
Nov 08, 2021
2 Resources
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2 Resources
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Utah FORGE Project 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: Well 16A(78)-32 and 16B(78)-32 Stimulation Production Logging Tests
These are production logging tests (PLT) results from Halliburton collected during the nine hour circulation test performed at Utah FORGE on April 27th, 2024. The circulation test involved injecting into well 16A(78)-32 and producing out of well 16B(78)-32) and was carried out af...
Haroun, F. Energy and Geoscience Institute at the University of Utah
Apr 27, 2024
4 Resources
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4 Resources
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Utah FORGE: GES Well 16A(78)-32 and Well 16B(78)-32 Stimulation Seismic Event Catalogs
This dataset contains seismic event catalogs from the hydraulic stimulation of wells 16A(78)-32 and 16B(78)-32 at the Utah FORGE site in April 2024. The data was collected by Geo Energy Suisse (GES) using a variety of seismic monitoring technologies, including 3-component (3C) geo...
Dyer, B. et al University of Utah Seismograph Stations
Apr 30, 2024
2 Resources
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2 Resources
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Utah FORGE: Fiber Optic Cumulative Strain Change and Strain Change Rate Data From Well 16A Stimulation at Well 16B
This dataset includes Rayleigh Frequency Shift (RFS) Distributed Strain Sensing (DSS) cumulative strain change and change rate data. The data was acquired during the stimulation of Utah FORGE Well 16A(78)-32 in April 2024 via fiber installed in Well 16B(78)-32. The fiber optic da...
Khatara, S. et al Neubrex Energy Services (US), LLC
Nov 06, 2024
2 Resources
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2 Resources
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Utah FORGE: Fault Shear Reactivation Experimental Data for Fluid Injection-Rate Controls on Seismic Moment
Included are experimental data recorded from shear experiments that specifically explore the link between fluid-injection rate and seismic moment resulting from shear reactivation of laboratory faults. Raw mechanical data from three experiments are included alongside corresponding...
Roseboom, M. et al Pennsylvania State University
Nov 07, 2023
6 Resources
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6 Resources
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Low Temperature Geothermal Resource Assessment for Desalination in United States
This data is a compilation of well observations from the Southern Methodist University (SMU) and Association of American State Geologists (AASG), location of identified low temperature geothermal systems from United States Geological Survey (USGS), and low temperature geothermal w...
Akar, S. and Turchi, C. National Renewable Energy Laboratory
Sep 30, 2016
6 Resources
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6 Resources
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Low-Temperature Geothermal Geospatial Datasets: An Example from Alaska
This project is a component of a broader effort focused on geothermal heating and cooling (GHC) with the aim of illustrating the numerous benefits of incorporating GHC and geothermal heat exchange (GHX) into community energy planning and national decarbonization strategies. To bet...
Davalos Elizondo, E. et al National Renewable Energy Laboratory
Feb 06, 2023
6 Resources
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6 Resources
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Utah FORGE: Deep Well 58-32 (MU-ESW1) Core Data
These datasets, images, and graphics were derived from core drilling and core that was extracted from Utah Forge deep well 58-32 (originally called MU-ESW1), near Roosevelt Hot Springs.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Apr 11, 2018
5 Resources
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5 Resources
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Utah FORGE: GIS Well Temperature Data
This is a GIS point feature shapefile representing wells, and their temperatures, that are located in the general Utah FORGE area near Milford, Utah. There are also fields that represent interpolated temperature values at depths of 200 m, 1000 m, 2000 m, 3000 m, and 4000 m. in deg...
Gwynn, M. et al Energy and Geoscience Institute at the University of Utah
Feb 28, 2018
1 Resources
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1 Resources
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Fallon FORGE: Lithology Logs and Well 21-31 Drilling Data
This submission includes lithology logs for all Fallon FORGE area wells; determined from core, cuttings, and thin section. Wells included are 84-31, 21-31, 82-36, FOH-3D, 62-36, 18-5, 88-24, 86-25, FOH-2, 14-36, 17-16, 34-33, 35A-11, 51A-20, 62-15, 72-7, 86-15, Carson_Strat_1_36-3...
Blankenship, D. et al Sandia National Laboratories
Mar 11, 2018
2 Resources
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2 Resources
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Utah FORGE: North Milford Groundwater Geochemistry
This dataset contains groundwater geochemistry from several wells in North Milford Valley, Utah, in the region of the Utah FORGE project (Phase 2c). Readme file that discusses the data contained in the Excel spreadsheet. Data include GPS coordinates (UTM, Lat-Long), sampling tempe...
Simmons, S. and Kirby, S. Energy and Geoscience Institute at the University of Utah
Jun 20, 2019
3 Resources
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3 Resources
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Fallon, NV FORGE well 21-31 Lithology, Mineral, Image Log, and Injection Test data
Attached is 5 datasets collected from Fallon FORGE well 21-31 located in Churchill County, Nevada collected and interpreted between Feburary 2018-January 2020. This submission includes 1) new lithology interpretation derived from petrographic thin sections of sidewall cores taken ...
Kraal, K. and Ayling, B. Sandia National Laboratories
May 30, 2020
5 Resources
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5 Resources
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Utah FORGE Project 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: Wells 16A(78)-32 and 16B(78)-32 Stimulation Pressure and Circulation Data April, 2024
This dataset consists of all of the pressure pumping data for Utah FORGE Well16A78-32 fracturing stages, Well 16B78-32 fracturing stages, and a 9-hour circulation test which took place after all of the frac plugs were drilled out. Fracturing in the wells took place in stages from ...
England, K. Energy and Geoscience Institute at the University of Utah
Jun 03, 2024
4 Resources
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4 Resources
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