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Newberry Combined Gravity 2016
Newberry combined gravity from Zonge Int'l, processed for the EGS stimulation project at well 55-29. Includes data from both Davenport 2006 collection and for OSU/4D EGS monitoring 2012 collection.
Locations are NAD83, UTM Zone 10 North, meters. Elevation is NAVD88.
Gravity in ...
Rose, K. National Energy Technology Laboratory
Jan 22, 2016
1 Resources
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1 Resources
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Brady's Geothermal Field Distributed Temperature Sensing Data
This submission is an 8 day time history of vertical temperature measurements in Brady observation well 56-1 collected during the PoroTomo field experiment. The data was collected with a fiber-optic DTS system installed to a depth of 372 m below wellhead. DTS installation uses a d...
Patterson, J. University of Wisconsin
Mar 26, 2016
2 Resources
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2 Resources
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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
6 Resources
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6 Resources
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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
3 Resources
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3 Resources
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University of Illinois Campus Deep Direct-Use Feasibility Study Subsurface Temperature Profile
High resolution fiber-optic distributed temperature sensing logs from the Illinois Basin Decatur Project (IBDP) in Decatur, IL were used to model the thermal profile in the Illinois Basin.
Lin, Y. et al University of Illinois
Jun 13, 2018
5 Resources
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5 Resources
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Utah FORGE: Video of Utah FORGE Drilling Planning for Production Well 16B(78)-32
This is a YouTube video containing the specifics of well planning for Utah FORGE 16B(78)-32. This well will be drilled as a doublet approximately 300 feet parallel to and above 16A(78)-32 and will be drilled between approximately April 15th and July 17th 2023.
McLennan, J. Energy and Geoscience Institute at the University of Utah
Mar 03, 2023
2 Resources
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2 Resources
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Utah FORGE 5-2615: Well 58-32 and 78-32 Poroelastic Properties
Lab data on permeability, grain bulk modulus, drained bulk modulus, Skempton's pore pressure coefficient, and Biot's effective stress coefficient for Utah Forge Well 58-32 and Well 78-32.
Work done as part of project number 5-2615 by the University of Oklahoma.
Ghassemi, A. and Zhou, X. University of Oklahoma
Oct 31, 2022
2 Resources
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2 Resources
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Utah FORGE: Microseismic Events
This archive contains Excel spreadsheets containing microseismic events detected in the study area during Utah FORGE Phase 2C. The Readme file included that describes the meaning of the abbreviations used as field headers in the spreadsheets. Additionally, there is a .dat (text) f...
Rutledge, J. Energy and Geoscience Institute at the University of Utah
Jul 08, 2019
2 Resources
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2 Resources
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Utah FORGE: InSAR Data
This is the InSAR dataset used in Utah FORGE Phase 2C to augment ground deformation monitoring. It is accompanied by a README.txt file which contains an explanation of the data in the .zip archive.
Feigl, K. et al Energy and Geoscience Institute at the University of Utah
Jul 01, 2019
2 Resources
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2 Resources
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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
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3 Resources
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Utah FORGE Core Material Friction Experiments
The following folders contain 3 friction experiments on Utah FORGE core material from depths of 6735 8533ft. The experiment conditions range from 100% relative humidity at room temperature to fluid-saturated at 110C. Experiments were done on both intact samples in a single-direct ...
Marone, C. et al The Pennsylvania State University
Mar 15, 2023
7 Resources
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7 Resources
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Utah FORGE: 2022 Well Stimulation Seismicity Data Including SeGY Data
This is a link to the Utah FORGE seismic data distribution site hosted by the University of Utah Seismograph Stations. The data was collected from downhole geophone strings in wells 56-32, 58-32 and 78B-32 during the 2022 stimulation of well 16A(78)-32. This dataset, which was upd...
Pankow, K. University of Utah Seismograph Stations
Apr 14, 2023
1 Resources
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1 Resources
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Utah FORGE: Temperature Contours
This submission contains several ArcGIS shapefiles, each with Temperature contour lines at different depths. Subsurface temperature were important for characterizing the geothermal system beneath the FORGE site in Milford, Utah.
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 09, 2016
5 Resources
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5 Resources
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Utah FORGE: Area LiDAR Bare Earth DEM Mosaic
This is a mosaic of 154 bare earth DEM panels (0.5 m resolution) acquired during Phase II of the Utah FORGE project. The DEM covers the western Mineral Mountains and adjoining basin including the Roosevelt Hot Springs area. The coordinates are in UTM Zone 12, NAD 83 and elevation ...
Nash, G. Energy and Geoscience Institute at the University of Utah
Aug 07, 2018
1 Resources
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1 Resources
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Geothermal Mineral Alterations in Brady and Desert Peak
Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas.
This is the post-processing results and final analysis results of applying target detection algorithms and then fusing the results.
Moraga, J. Colorado School of Mines
May 15, 2021
22 Resources
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22 Resources
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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
1 Resources
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Utah FORGE: Results of Direct Shear Tests on Saturated Joints in Sierra White Granite
This dataset includes an Excel file with the results of direct shear tests to investigate the mechanical and geophysical response of saturated joints. Tests were conducted on induced tension-fractured Sierra White granite joints in a custom water pressurized chamber. The preparati...
Han, K. et al Purdue University
Dec 31, 2022
2 Resources
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2 Resources
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Utah FORGE: Well 78B-32 Core Sample Petrographic Analysis Data
This dataset contains an overview of the petrographic, X-ray Diffraction and scanning electron microscopy analyses of core samples from Utah FORGE Well 78B-32 and related data as described in the .zip folder's Description below.
Jones, C. Energy and Geoscience Institute at the University of Utah
Feb 21, 2023
1 Resources
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1 Resources
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Three-Component Long Offset Surface Seismic Survey Data Used to Find Large Aperture Fractures in Geothermal Resources San Emidio Geothermal Resource Area
P and S-wave datasets and associated report studying the ability to use three-component long offset surface seismic surveys to find large aperture fractures in geothermal resources at the San Emidio geothermal resource area in Washoe County, Nevada.
Warren, I. U.S. Geothermal Inc.
Sep 15, 2010
4 Resources
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4 Resources
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Utah FORGE UGS Interactive Geoscience Map
This is a link to the Utah Geological Survey's Utah FORGE Interactive Geoscience Map. The map layers include information on geology, geography, subsurface temperatures, seismicity, gravity and groundwater. Instructions for using the interactive map and a legend for the interactive...
Hill, J. Utah Geological Survey
Jan 01, 2021
1 Resources
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1 Resources
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Purdue University: Results of B-Value Tests for Rock Saturation
This dataset includes an Excel file with the results of B-value tests to determine the magnitude of the back pressure required for full saturation of Sierra White granite samples. Test were conducted on cylindrical rock specimens of Sierra White granite in a custom water pressuriz...
Han, K. et al Purdue University
Jun 20, 2022
2 Resources
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2 Resources
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Utah FORGE Phase 3 Native State Model: 2022 Update
This is the Phase 3 native state model update. The Phase 3 numerical model represents a significant subsurface volume below the FORGE site footprint. The model domain of 4.0 km x 4.0 km x 4.2 km is located approximately between depths of 4000 to 4200 meters below land surface. Thi...
Podgorney, R. and Liu, R. Idaho National Laboratory
Jul 29, 2022
1 Resources
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1 Resources
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Utah FORGE Wells Updated Temperature and Pressure Logs (June 2021)
This dataset includes updated temperature and pressure logs for Utah FORGE wells 56-32, 78-32, and 58-32. This data was acquired in June 2021.
Stout, F. Di Drill Survey Services
Jun 29, 2021
4 Resources
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4 Resources
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SubTER Final Magnetotelluric (MT) Data: Mineral Mountains, Utah
Subsurface Science, Technology and Engineering Research, and Development (SubTER) Crosscut is a collaboration across the Department of Energy offices involved in research activities in energy production/extraction, subsurface storage, and environmental remediation. This submission...
Wannamaker, P. Energy and Geoscience Institute at the University of Utah
Oct 13, 2021
2 Resources
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2 Resources
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Utah FORGE: Heat Flow Contours and Well Data
This submission contains a shapefile of heat flow contour lines around the FORGE site located in Milford, Utah. The model was interpolated from data points in the Milford_wells shapefile. This heat flow model was interpolated from 66 data points using the kriging method in Geostat...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 09, 2016
2 Resources
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2 Resources
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