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Utah FORGE 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
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Utah FORGE 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
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Utah FORGE 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
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Newberry EGS Well Logs, Earthquakes, Maps, Cross-Sections, and LiDAR Datasets

Datasets and information used to characterize the subsurface of Newberry and support modeling efforts. Includes sources for well logs, earthquakes, maps & cross-sections, and LiDAR/DEM

Rose, K. National Energy Technology Laboratory

Apr 22, 2016
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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
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Utah FORGE: GPS Data Deformation Monitoring

This data bundle contains raw GPS data files and resulting data using Trimble Business Center and NOAA OPUS to process the GPS data in spreadsheets with station coordinates and elevations. A map of station locations is included along with the final processing report which includes...

Erickson, B. and McKean, A. Energy and Geoscience Institute at the University of Utah

Jun 24, 2019
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Nevada Play Fairway Sou Hills Geodatabase and Modeling Data

This package contains data and metadata for 2-meter temperature probe survey, gravity, LiDAR, slip dilation, well headers, play fairway modelling, and ArcGIS geodatabase resources. This project focused on defining geothermal play fairways and development of a detailed geothermal ...

Faulds, J. Nevada Bureau of Mines and Geology

Aug 25, 2018
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Programs and Code for Geothermal Exploration Artificial Intelligence

The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...

Moraga, J. Colorado School of Mines

Apr 27, 2021
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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
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The Use of 3D Geologic Modeling to Improve Well Targeting in Glass Buttes, Oregon

The Glass Buttes Project includes combining a suite of high-resolution geophysical and geochemical techniques to reduce exploration risk by characterizing hydrothermal alteration, fault geometries and relationships. This is aided through geologic observation, modern remote sensing...

Walsh, P. Ormat Nevada Inc

Oct 09, 2011
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Geothermal Exploration Cost and Time

This paper describes the methodology used to define the baseline exploration suite of techniques (baseline), as well as the approach that was used to create the cost and time data set that populates the baseline. The resulting product, an online tool for measuring impact, and the ...

Jenne, S. National Renewable Energy Laboratory

Feb 13, 2013
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Fallon FORGE: Geophysics and Geochemistry

The data is associated to the Fallon FORGE project and includes mudlogs for all wells used to characterize the subsurface, as wells as gravity, magnetotelluric, earthquake seismicity, and temperature data from the Navy GPO and Ormat. Also included are geologic maps from the USGS a...

Blankenship, D. Sandia National Laboratories

May 23, 2016
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Utah FORGE: InSAR Data 2019

This dataset contains Interferometric Synthetic Aperture Radar (InSAR) data used for ground deformation monitoring during Phase 2C of the Utah FORGE project. The dataset includes measurements of the mean rate of range change and associated standard errors, provided in both CSV and...

Feigl, K. et al Energy and Geoscience Institute at the University of Utah

Jul 01, 2019
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Memos Relating to 2011 Field Checking of CIRES ASTER Thermal Targets

In 2010 and 2011, Flint Geothermal commissioned CIRES from the University of Colorado to attempt to detect "blind" or buried geothermal systems using remote sensing. CIRES utilized thermal infrared bands from ASTER and LANDSAT satellite imagery to detect areas of warm ground in pa...

Zehner, R. and Hussein, K. Flint Geothermal, LLC

Feb 01, 2012
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GeoDAWN: Airborne magnetic and radiometric surveys of the northwestern Great Basin, Nevada and California

This submission encompasses the airborne magnetic and radiometric survey data from the northwestern Great Basin in Nevada and California, collected under the GeoDAWN initiative: Geoscience Data Acquisition for Western Nevada. Included in the dataset are all flight details, geophys...

Glen, J. and Earney, T. United States Geological Survey

Mar 01, 2024
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