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Newberry EGS Seismic Velocity Model
We use ambient noise correlation (ANC) to create a detailed image of the subsurface seismic velocity at the Newberry EGS site down to 5 km. We collected continuous data for the 22 stations in the Newberry network, together with 12 additional stations from the nearby CC, UO and UW ...
Templeton, D. Lawrence Livermore National Laboratory
Oct 01, 2013
1 Resources
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1 Resources
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Utah FORGE: 2023 Induced Seismicity Mitigation Plan
This is the updated Utah FORGE Phase 3B induced seismicity mitigation plan (ISMP) covering the general Utah FORGE area. This new version incorporates newly collected seismic data, including data collected during the 2022 stimulation and a probabilistic seismic hazard assessment (...
Pankow, K. et al University of Utah Seismograph Stations
Aug 09, 2023
1 Resources
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1 Resources
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BRAD BRDY and BRD1 GPS Station RINEX Files 07-17-2017
Links to URL's with latest time-series of GPS stations BRAD, BRDY and BRD1
Kreemer, C. University of Wisconsin
Jul 17, 2017
5 Resources
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Publicly accessible
5 Resources
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Utah FORGE: Rock Properties
This is an Excel spreadsheet that contains rock properties from several wells in the Utah FORGE study area. This includes a map of the wells. Data is described in the Final Topical Report included in the resources below.
Gwynn, M. Energy and Geoscience Institute at the University of Utah
Apr 07, 2018
2 Resources
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2 Resources
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EGS Collab Experiment 1: Accelerometer orientations
Document describing the methodology used to determine the accelerometers' three-component orientations at the first EGS Collab testbed using Continuous Active-Source Seismic Monitoring (CASSM) data and hodogram analysis.
Original submission: gdr.openei.org/submissions/1166
Hopp, C. et al Lawrence Berkeley National Laboratory
Aug 19, 2020
2 Resources
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2 Resources
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Utah FORGE Seismic Stations and Wells GPS Survey Data, 2021
This is a CSV spreadsheet containing UTM and Latitude and Longitude coordinates and elevations for Wells 78-32, 58-32, and 16A(78)-32 and BOR1, BOR2, BOR3, FOR2, FOR5, FORK, FORU, and FORW seismic stations. These are from a GPS survey conducted by the Utah Geological Survey in Jun...
Erickson, B. Utah Geological Survey
Jun 30, 2021
1 Resources
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1 Resources
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Utah FORGE Updated Well, Well Pad, and Seismic Station GPS Coordinates December, 2021
This is a CSV spreadsheet containing UTM and Latitude and Longitude coordinates and elevations for Wells 78-32, 78B-32, 56-32, 58-32, 68-32, and 16A(78)-32 and seismic stations BOR1, BOR2, BOR3, FOR1, FOR2, FOR5, FOR6, FOR 7, FOR8, FORK, FORU, FORW, and FORB. These are from a GPS ...
Erickson, B. Utah Geological Survey
Dec 13, 2021
1 Resources
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1 Resources
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Utah FORGE DAS Seismic Data 2022
This is a link to the website where DAS seismic data, collected from wells 78-32 and 78B-32 during the Utah FORGE 2022 stimulation, is now available for download. The data can be accessed at "Well 16A78-32 2022 Stimulation Seismicity Data" link in the submission under the Silixa h...
Pankow, K. University of Utah Seismograph Stations
Apr 29, 2022
1 Resources
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1 Resources
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Utah FORGE Well 58-32 Granite Core Thermal Properties Test Results Report (Oct. 2021)
This is a presentaiton from Metarock Laboratories on the thermal properties of Utah FORGE well 58-32 granite core. The presentation includes pictures of core samples, core details for the samples (sample depths and size), sample thermal expansion test results, and radial velocity ...
Laboratories, M. Energy and Geoscience Institute at the University of Utah
Oct 29, 2021
1 Resources
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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: 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: Seismic Precursors to Shear Failure of Dry and Saturated Rock Fractures (RMRE paper)
The dataset is submitted to provide the experimental data presented in the journal paper Rock Mechanics and Rock Engineering (RMRE), "Seismic Precursors to Shear Failure of Dry and Saturated Rock Fractures."
This dataset includes Excel files with the results of direct shear tests...
Han, K. et al Purdue University
Jun 11, 2024
1 Resources
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In progress
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In progress
Utah FORGE: Phase 3 Ground Water Level Monitoring Data
Groundwater data around the Utah FORGE site has been collected to determine the piezometric levels and compositional variability. Field measurements in 2020 are designed to obtain and survey new groundwater wells that have been drilled on the distal periphery of the Utah FORGE pro...
Kirby, S. Utah Geological Survey
Sep 30, 2020
1 Resources
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Curated
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Tularosa Basin Play Fairway Analysis: Hydrothermal Alteration Map
This is a hydrothermal alteration map of the Tularosa Basin area, New Mexico and Texas that was created using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral data band ratios based upon diagnostic features of clay, calcite, silica, gypsum, ferr...
Brandt, A. University of Utah
Nov 15, 2015
1 Resources
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1 Resources
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EGS Collab Experiment 1: Wireline Geophysical Well Logs
This is the full wireline geophysical datasets for characterization of the EGS Collab Experiment #1 testbed on the 4850 level. A metadata file is included within the dataset explaining the logs, fracture picks, etc. Eight boreholes were drilled for this testbed and each one was lo...
Schwering, P. Lawrence Berkeley National Laboratory
Jan 08, 2018
1 Resources
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1 Resources
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Utah FORGE: Stress Logging Data
This spreadsheet consist of data and graphs from deep well 58-32 stress testing from 6900 7500 ft depth. Measured stress data were used to correct logging predictions of in situ stress. Stress plots shows pore pressure (measured during the injection testing), the total vertical in...
McLennan, J. Energy and Geoscience Institute at the University of Utah
Mar 14, 2018
1 Resources
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1 Resources
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Utah FORGE: Mineral Mountains West Fault System Report
This archive contains a report on the Mineral Mountains West fault system as part of phase 2C and the evidence for the northern terminus of this structure. Geologic field mapping, reprocessing of 3D seismic reflection data, and soil gas surveys contributed to this effort.
Simmons, S. and Miller, J. Energy and Geoscience Institute at the University of Utah
Jul 01, 2019
1 Resources
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1 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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Matlab Scripts and Sample Data Associated with Water Resources Research Article
Scripts and data acquired at the Mirror Lake Research Site, cited by the article submitted to Water Resources Research:
Distributed Acoustic Sensing (DAS) as a Distributed Hydraulic Sensor in Fractured Bedrock
M. W. Becker(1), T. I. Coleman(2), and C. C. Ciervo(1)
1 California St...
Becker, M. and Coleman, T. California State University
Jul 18, 2015
2 Resources
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2 Resources
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Water chemistry data and calculations for Fracture Sustainability Tests
Measured cation, anion, and silica are presented as well as calculations evaluating mass balance performed for 4 fracture sustainability tests under EGS conditions: Stripa granite, Metamudstone, Rhyolitic Ashflow Tuff, and Silicified Rhyolitic Tuff. Calculations of charge balance ...
Kneafsey, T. et al Lawrence Berkeley National Laboratory
Sep 30, 2020
2 Resources
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2 Resources
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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
1 Resources
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1 Resources
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Distributed Acoustic Sensing (DAS) for Periodic Hydraulic Tests: Laboratory Data
These data were collected in the laboratory located at California State University Long Beach. They consist of DAS data collected from a fiber optic cable placed in a tank of water, subjected to oscillating head. These tests are described in the article linked below.
Coleman, T. California State University
Feb 27, 2015
5 Resources
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Curated
5 Resources
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Curated
DEEPEN: Newberry Volcano MT and Gravity Data 2022 and 2023 Acquisition and Processing
As part of DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments), a 3D play fairway analysis (PFA) was conducted at Newberry Volcano in Central Oregon for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). For use in this PFA, ...
Shultz, A. et al Enthalpion Energy
Jun 30, 2023
8 Resources
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8 Resources
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Fallon FORGE: Geodetic Data
Fallon FORGE InSAR and geodetic GPS deformation data. InSAR shapefiles are packaged together as .MPK (ArcMap map package, compatible with other GIS platforms), and as .CSV comma-delimited plaintext. GPS data and additional metadata are linked to the Nevada Geodetic Laboratory data...
Blankenship, D. et al Sandia National Laboratories
Feb 01, 2018
8 Resources
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8 Resources
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Material Properties for Brady Hot Springs Nevada USA from PoroTomo Project
The PoroTomo team has completed inverse modeling of the three data sets (seismology, geodesy, and hydrology) individually, as described previously. The estimated values of the material properties are registered on a three-dimensional grid with a spacing of 25 meters between nodes....
Feigl, K. and PoroTomo Team, . University of Wisconsin
Mar 06, 2019
10 Resources
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10 Resources
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