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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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Utah FORGE: Phase 3 InSAR Study Results
Ground movement is evaluated through analysis of Interferometric Synthetic Aperture Radar (InSAR) interferograms. Results indicate there has been no detectable ground movement at millimeter scale. The zipped file in this submission contains a report, maps, and results from the InS...
Feigl, K. and Batzli, S. Department of Geoscience University of Wisconsin-Madison
Sep 24, 2020
1 Resources
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1 Resources
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Triggered MEQ Events on LBNL Permanent Seismic Array, Brady's EGS, March 2016
List of triggered events recorded on LBNL's permanent EGS seismic array at Brady's geothermal field. This submission also includes links to the NCEDC EGS Earthquake Catalog Search page and to the metadata for the seismic array installed at Brady's Geothermal Field.
Robertson, M. University of Wisconsin
Jun 01, 2016
3 Resources
0 Stars
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3 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
0 Stars
Publicly accessible
8 Resources
0 Stars
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Walker Ranch 3D Seismic Images
Amplitude images (both vertical and depth slices) extracted from 3D seismic reflection survey over area of Walker Ranch area (adjacent to Raft River). Crossline spacing of 660 feet and inline of 165 feet using a Vibroseis source. Processing included depth migration. Micro-earthqua...
J., R. Lawrence Livermore National Laboratory
Mar 01, 2016
2 Resources
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2 Resources
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Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Zhu, T. Pennsylvania State University
May 05, 2021
4 Resources
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4 Resources
0 Stars
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Utah FORGE 3-2535: Joint EM-Seismic-InSAR Imaging of Fracture Properties Workshop Presentation
This is a presentation on the Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development project by Lawrence Berkeley National Laboratory, presented by Dr. David Alumbaugh, Staff Sc...
Alumbaugh, D. Lawrence Berkeley National Laboratory
Sep 08, 2023
1 Resources
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1 Resources
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Utah FORGE: InSAR Data Best Pairs
This submission provides Interferometric Synthetic Aperture Radar (InSAR) data covering the Utah FORGE site via the TerraSAR-X and TanDEM-X satellite missions operated by the German Space Agency (DLR). Data was collected between 2019/01/01 and 2023/06/30. Interferometric pairs (...
Batzli, S. and Feigl, K. University of Wisconsin-Madison
May 31, 2023
11 Resources
0 Stars
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11 Resources
0 Stars
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Brady's Geothermal Field Seismic Network Metadata
Brady's geothermal field seismic network station locations and dates of operation.
Foxall, W. University of Wisconsin
Dec 21, 2014
1 Resources
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1 Resources
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Publicly accessible
EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog from Double-Difference Seismic Tomography
This package contains a 3D Seismic velocity model and an updated microseismic catalog obtained for a double-difference seismic tomography study.
The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-wave velocity (km/s), P-wave velocity quality indicator (1 for we...
Chai, C. et al Oak Ridge National Laboratory
Jun 01, 2020
8 Resources
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8 Resources
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Utah FORGE Project 3-2535: Compilation of Geodetic Data and Estimation of Associated Deformation
Report on possible geodetic signature of the 3 stimulations in April 2022 as well as a comparison with existing InSAR data gathered over the site before, during, and after the stimulation. In geothermal production it is important to understand the existing stress field and the cha...
Vasco, D. et al Lawrence Berkeley National Laboratory
Apr 29, 2022
4 Resources
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4 Resources
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InSAR Maps of Deformation Covering Raft River, Idaho from 2007 to 2010
This dataset contains maps of deformation covering Raft River, Idaho from 2007 to 2010 calculated from interferometric synthetic aperture radar data. This dataset is used in the study entitled "Inferring geothermal reservoir processes at the Raft River Geothermal Field, Idaho, US...
Reinisch, E. University of Wisconsin
Mar 11, 2007
8 Resources
0 Stars
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8 Resources
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Utah FORGE InSAR Data from 2020
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Batzli, S. and Feigl, K. University of Wisconsin
Dec 24, 2020
9 Resources
0 Stars
Publicly accessible
9 Resources
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Publicly accessible
Utah FORGE InSAR Data from 2021
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Batzli, S. and Feigl, K. University of Wisconsin
Nov 30, 2021
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
Utah FORGE InSAR Data from 2022
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Batzli, S. and Feigl, K. University of Wisconsin
Nov 30, 2022
9 Resources
0 Stars
Publicly accessible
9 Resources
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Publicly accessible
Fallon FORGE: Distinct Element Reservoir Modeling
Archive containing input/output data for distinct element reservoir modeling for Fallon FORGE. Models created using 3DEC, InSite, and in-house Python algorithms (ITASCA). List of archived files follows; please see 'Modeling Metadata.pdf' (included as a resource below) for addition...
Blankenship, D. et al Sandia National Laboratories
Mar 12, 2018
2 Resources
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2 Resources
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Hybrid machine learning model to predict 3D in-situ permeability evolution
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Elsworth, D. and Marone, C. Pennsylvania State University
Nov 22, 2022
4 Resources
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4 Resources
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Utah FORGE: Phase 3 Microgravity Data
A 4D microgravity survey began in early 2019 in order to benchmark surface and subsurface elevations prior to Phase 3 drilling and stimulation campaigns. Microgravity stations are collocated with GPS deformation benchmarks and use the same location survey data. Surveys are underta...
Hardwick, C. Utah Geological Survey
Oct 07, 2020
1 Resources
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1 Resources
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Utah FORGE Well 16A(78)-32 Stimulation DFN Fracture Plane Evaluation and Data
This dataset includes files used to fit planar fractures through the preliminary earthquake catalogs of the three stages of the April 2022 well 16A(78)-32 stimulation which is linked bellow. These planar features have been used to update the FORGE reference Discrete Fracture Netwo...
Finnila, A. WSP Golder
Oct 27, 2022
3 Resources
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3 Resources
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Utah FORGE: Phase 2C Topical Report
This is the topical report that wraps up the work and results achieved during Utah FORGE Phase 2C. The zip file includes several folders containing (1) an overview; (2) the results; (3) the lessons learned; and (4) the conclusions. It also contains a folder containing appendices i...
Moore, J. et al Energy and Geoscience Institute at the University of Utah
Dec 11, 2019
2 Resources
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2 Resources
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Utah FORGE Project 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone
This short report details and tests the workflow that will be used to simulate steel well casings in deviated production/extraction boreholes at at the Utah FORGE site. Boreholes will be electrically energized and will serve as data sources for future proposed electromagnetic bore...
Um, E. et al Lawrence Berkeley National Laboratory
Nov 15, 2022
4 Resources
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4 Resources
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Utah FORGE Project 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone
Numerical modeling Studies for electromagnetic (EM) Data Acquisition Survey Design this milestone report describes the 3D modeling studies of energized steel-casing source electromagnetic method for detecting stimulated zone at the Utah FORGE Site. FORGE project 3-2535 is planning...
Um, E. et al Lawrence Berkeley National Laboratory
Feb 06, 2023
4 Resources
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4 Resources
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A Conceptual Geologic Model for the Newberry Volcano EGS Site in Central Oregon: Constraining Heat Capacity and Permeability through Interpretation of Multicomponent Geosystems Data
Newberry Volcano, a voluminous (500 km3) basaltic/andesitic/rhyolitic shield volcano located near the intersection of the Cascade volcanic arc, the Oregon High Lava Plains and Brothers Fault Zone, and the northern Basin and Range Province, has been the site of geothermal explorati...
Mark-Moser, M. et al National Energy Technology Laboratory
Feb 22, 2016
1 Resources
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1 Resources
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Utah FORGE Project 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements
The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. FORGE project 3-2535 is planning on using a casing source ...
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
Dec 01, 2022
5 Resources
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5 Resources
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Appendices for Geothermal Exploration Artificial Intelligence Report
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
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12 Resources
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