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Utah FORGE: EGS Reservoir Produced Fluids Trace Elements 2024

This dataset contains trace element concentrations from fluid samples collected during the August-September 2024 circulation test at Utah FORGE. Samples were taken from injection well 16A(78)-32, production well 16B(78)-32, and monitoring well 58-32 on four dates between August 16...

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

May 21, 2025
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Utah FORGE: Evaluation of Potential Geochemical Responses to Injection in the FORGE Geothermal Reservoir

Plugging of fracture porosity from mineral precipitation due to injecting cold water into a a geothermal reservoir can impact the overall permeability of the fracture network in the reservoir. This can have serious ramifications on the efficiency of the geothermal resource. Geoche...

Patil, V. and Simmons, S. Energy and Geoscience Institute at the University of Utah

Apr 03, 2019
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WISE-CASING: Surface Seismic Survey at Cymric Field, California Central Valley

This test was conducted at the Chevron Cymric oilfield in the California central valley near Bakersfield. A reflected seismic signal was observed in all three components (x, y, z) of the 3-component Episensor geophone, as well as all phones on the single component array. The arriv...

Wu, Y. et al Lawrence Berkeley National Laboratory

Apr 02, 2018
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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: Stimulation Crosswell Strain Response Fiber Optic Monitoring Report April 2024

This report documents the use of fiber optic Rayleigh frequency shift (RFS) Distributed Strain Sensing (DSS), Distributed Temperature Sensing (DTS), and microseismic data recorded during the hydraulic fracture stimulation of well 16A(78)-32, as detected in the offset well 16B(78)-...

Jurick, D. et al Neubrex Energy Services (US), LLC

Apr 03, 2024
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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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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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PoroTomo: Brady Geothermal Field InSAR Data

Included are links to compressed InSAR pairs covering Brady Geothermal Field for TerraSAR-X (tracks 53, 91, and 167) and Sentinel-1A data. Pairs from the PoroTomo deployment period and pairs forming a minimum spanning tree according to perpendicular baseline are included for Terr...

Reinisch, E. University of Wisconsin

Jul 11, 2017
6 Resources
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EGS Collab Experiment 1: TOUGH2-CSM Simulation of Embedded Natural Fractures and Chemical Tracer Transport and Sorption

The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scal...

Johnston, B. et al National Renewable Energy Laboratory

Jun 07, 2019
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Utah FORGE: 2024 Discrete Fracture Network Model Data

The Utah FORGE 2024 Discrete Fracture Network (DFN) Model dataset provides a set of files representing discrete fracture network modeling for the FORGE site near Milford, Utah. The dataset includes four distinct DFN model file sets, each corresponding to different time frames and ...

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

Sep 08, 2024
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Utah FORGE: Updated Seismic Event Catalogue from the April, 2022 Stimulation of Well 16A(78)-32

These are revised catalogs, related to the April, 2022 well 16A(78)-32 stimulation (phases 1,2, & 3), provided by Geo Energie Suisse (GES) that include additional events at the start of Stage 1 and some tidying up of some locations. These catalogs also include events for additiona...

Dyer, B. et al University of Utah Seismograph Stations

Nov 09, 2022
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...

Marone, C. et al Pennsylvania State University

May 14, 2021
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Sodar Brady, TX Raw Data

**Data Details** Datasets are provided as ZIP files that contain all data for the campaign.

Burk, K. Wind Energy Technologies Office (WETO)

Jul 14, 2011
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Nevada Production and Injection Well Data for Facilities with Flash Steam Plants

Files contain a summary of the production and injection data submitted by the geothermal operators to the Nevada Bureau of Mines and Geology over the period from 1985 thru 2009

Mines, G. Idaho National Laboratory

Mar 26, 2014
5 Resources
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Utah FORGE: Neubrex Well 16B(78)-32 Circulation Test Fiber Optics Monitoring Data and Reports July, 2023

This dataset features Distributed Acoustic Sensing (DAS) and fiber optics monitoring data acquired by Neubrex Energy Services during the Utah FORGE Well 16B(78)-32 circulation test in July 2023. DAS and fiber optic monitoring data include absolute strain, strain change, strain ch...

Jurick, D. and Guzik, A. Energy and Geoscience Institute at the University of Utah

Oct 31, 2023
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Radar Brady, TX Raw Data

**Overview** Raw data captured from the NOAA ESRL website: https://www.esrl.noaa.gov/psd/data/obs/data/ Hourly Radar Winds (WwWind) and Temperature (WwTemp)

Burk, K. Wind Energy Technologies Office (WETO)

Jul 14, 2011
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Utah FORGE: Well 16B(78)-32 Post Hydraulic Fracturing 9 Hour Dual Well Circulation Test Fiber Optic Monitoring Report April 2024

This report examines the fiber optic measurements made on the Utah FORGE well 16B(78)-32 after it and well 16A(78)-32 were hydraulically stimulated and shortly thereafter a 9 hour cross well circulation test was run between them. The report reviews distributed fiber optic signal p...

Guzik, A. and Davidson, E. Neubrex Energy Services (US), LLC

Apr 27, 2024
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EGS Collab Experiment 2: Distributed Fiber Optic Acoustic Data (DAS)

Distributed fiber optic sensing was an important part of the monitoring system for EGS Collab Experiment #2. A single loop of custom fiber package was grouted into the four monitoring boreholes that bracketed the experiment volume. This fiber package contained two multi-mode fiber...

Rodriguez Tribaldos, V. and Hopp, C. Lawrence Berkeley National Laboratory

May 28, 2024
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Brady Geothermal Field Well Lithologies

Well lithologies and corresponding descriptions exported from the 3D Leapfrog geologic model.

Lopeman, J. University of Wisconsin

Jul 22, 2015
2 Resources
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EGS Collab Experiment 1: Well Locations and Orientations.

The EGS Collab is conducting experiments in hydraulic fracturing at a depth of 1.5 km in the Sanford Underground Research Facility (SURF) on the 4850 Level. A total of eight ~60m-long subhorizontal boreholes were drilled at that depth on the western rib of the West Access Drift. S...

Neupane, G. et al Idaho National Laboratory

Sep 05, 2018
12 Resources
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GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...

Vesselinov, V. Los Alamos National Laboratory

Mar 29, 2021
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Utah FORGE: Direct Shear Test Data for Investigating Seismic Precursors to Shear Failure of Fractures

This dataset includes results of direct shear tests to investigate the mechanical and geophysical response of dry and saturated fractures in Indiana limestone and Sierra White granite. Direct shear tests were performed on tensile-induced fractures in Indiana limestone and Sierra W...

Han, K. et al Purdue University

Jun 11, 2024
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PoroTomo Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1

This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment conducted in March, 2016. The measurements in this data set were made on August 24, 2018 over an approximately 20 hour per...

Kratt, C. et al Oregon State University

Jan 09, 2019
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Utah FORGE: Seismic and Other Shapefiles from the Roosevelt Hot Springs Area

Three shapefiles in this submission show the position of proposed seismic line surveys. The mid-crustal velocity anomaly file shows the extent of an anomalously low P-wave velocity zone in the subsurface. Two other files show the extent of known hydrothermal systems in the Rooseve...

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

Mar 22, 2016
7 Resources
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Fallon FORGE: Vs30m Seismic Velocity

Time-averaged shear-wave velocity to 30 m depth about the Fallon, NV FORGE site.

Blankenship, D. and Kaven, J. Sandia National Laboratories

Mar 12, 2018
3 Resources
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