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Utah FORGE: Phase 3 InSAR Study Results

Sep 24, 2020
101.48 MB
Publicly accessible
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...
Authors
Feigl, K. and Batzli, S. Department of Geoscience University of Wisconsin-Madison
geothermalenergyinsarutah forgeutah geothermalsubsidencegeodesydeformationground deformationcrustal deformationmapmean rate of changematlabgeologybedrockcrustalremote sensingegsroosevelt hot springsmilfordinterferometric synthetic aperture radar

Maui LiDAR

Nov 10, 2011
316.64 MB
Publicly accessible
Light Detection and Ranging (LiDAR) data for the Maui study area in South Maui, collected by Watershed Sciences, Inc. (WS) on October 29th, 2011 and from November 7th, 2011 to November 10th, 2011.
Authors
Akerley, J. Ormat Nevada Inc
geothermalmauilidarhawaiigeospatial data

Remote Sensing and Geology of Glass Buttes, Oregon

Jun 21, 2010
254.06 MB
Publicly accessible
This data set includes Light Detection and Ranging (LiDAR) data, a remote sensing processing report, and a geologic map of the Glass Buttes study area for ORMAT. The total area flown for the LiDAR remote sensing was 86,631 acres to fully encompass the area of interest (84,849 ac...
Authors
Akerley, J. et al Ormat Nevada Inc
geothermaloregonglass butteslidarremote sensinglake countycolor compositecolour compositeminimum noise fractionmnfmineral mapgeologic mapvolcanicgeologycross sectionhyperspectral remote sensinghymaplight detection and rangingairborne surveyinstrumentation and methodsground surveygps dataimu datainertial measurementlaser point processingpoint datavector dataraster datadata reportprojectionvolcanic complex

Utah FORGE 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone

Feb 06, 2023
6.08 MB
Publicly accessible
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...
Authors
Um, E. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsremote sensingwell characterizationwell 16awell 16b

Memos Relating to High-Priority Geothermal Targets in Colorado Selected for Further Study Flint Geothermal 2012

Feb 27, 2014
7.57 MB
Publicly accessible
This dataset contains several memos describing geothermal targets outlined by Flint personnel in Colorado. Phase 1 involved an ASTER and LANDSAT thermal infrared imagery assessment conducted by CIRES of the University of Colorado, which identified areas of warm ground that might i...
Authors
Zehner, R. Flint Geothermal, LLC
geothermalcoloradoremote sensingground truthasterthermal infraredroutt hot springsstrawberry park hot springsricopagosa springslemon hot springssan luis valleypenrosefremont countycanon city

InSAR Maps of Deformation Covering Raft River, Idaho from 2007 to 2010

Mar 11, 2007
196.13 MB
Publicly accessible
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...
Authors
Reinisch, E. University of Wisconsin
geothermalenergyraft river geothermal fieldinsarenvisatsatelliteinterferometric synthetic aperture radaregsreservoir developmentreservoir modeling

Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements

Dec 01, 2022
3.23 MB
Publicly accessible
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 ...
Authors
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsforgemodelingresistivity modelremote sensingwell characterizationwell 16awell 16b

Appendices for Geothermal Exploration Artificial Intelligence Report

Jan 08, 2021
2.76 GB
Publicly accessible
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...
Authors
Duzgun, H. et al Colorado School of Mines
geothermalenergyartificial intelligencehydrothermally altered mineralsmineral markerssvmgeodatabasewellfaultseismicaiborderbradydesert peaksalton sealand surface temperaturedeformationgeophysicalgeophysicssupport vector machinehyperspectralhyperspectral imagingcalifornianevadaegsblindblind systemdeep learningmachine learningexplorationgeospatial datashort wavelength infraredswirdatabaseanomaly detectionsite detectionradarhydrothermalmodelconceptual modelzoteroraw datapreproccessedprocessed dataenhanced geothermal systemengineered geothermal systemremote sensingarcgisgisinsarmorphologymorphologicalmorphological featurestirvnirvisible near infraredthermal infraredcodepython

Kilauea Magnetotelluric Dataset

Jun 16, 2022
1.21 MB
Publicly accessible
In 2002 and 2003 a collaborative effort was undertaken between Lawrence Berkeley National Laboratory, Sandia National Laboratories, the USGS Menlo Park, the USGS Hawaiian Volcano Observatory, and Electromagnetic Instruments Inc. to study the Kilauea volcano in Hawaii using the mag...
Authors
Hoversten, G. and Gasperikova, E. Lawrence Berkeley National Laboratory
geothermalenergymtkilaueamagnetotelluricimpedance tensorsstationsremote sensingprocessed dataeast rift zoneerzhawaiivolcanoresistancelavamagmamagma reservoirsimpedanceelectrical contact resistance
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