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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

Identifying and Delineating Thermally Active Areas in Colorado Using Thermal Remote Sensing Data

Dec 26, 2012
3.26 MB
Publicly accessible
This report outlines the approach and methodology of the utilization of thermal satellite imagery to find areas of warm ground that might indicate heat flow from a buried geothermal system. The satellite platforms, modeling equations and corrections to the data are discussed. Some...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalcoloradociresasterremote sensingthermal imagerygeothermal potentialdeep resource wellsidentifypotentialtarget areas

Memos Relating to 2011 Field Checking of CIRES ASTER Thermal Targets

Feb 01, 2012
5.89 MB
Publicly accessible
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...
Authors
Zehner, R. and Hussein, K. Flint Geothermal, LLC
geothermalcoloradoremote sensingasterlandsatthermal infraredsite assessmentblind geothermal systemsburied geothermal systems

Exploration Best Practices on OpenEI

Sep 20, 2013
63.84 kB
Publicly accessible
This is an electronic database detailing different types of, various phases of, best practices for, and cost and time associated with geothermal exploration techniques. The groups of exploration techniques included in the database are Data and Modeling Techniques, Downhole Techniq...
Authors
Young, K. National Renewable Energy Laboratory
geothermalexplorationgeophysicsopeneiremote sensingconceptual modelsexploration costsbest practicesloggingdrillinggeochemistryresistivity surveymt surveyelectromagnetic surveygravityseismicisotopelidarhyperspectralmultispectralswirflirinsarsarreflectionrefractonmagneticsdc resistivity2-m probewell loggingdatabase link

CIRES Approach Overview to Using Thermal Infrared Imagery to Find Geothermal Systems in Colorado

Feb 01, 2012
237.36 kB
Publicly accessible
Subsurface geothermal activity has a thermal expression that can be observed at the surface. Such spatial temperature gradients are within the radiometric resolution that is characteristic of a wide range of satellites that carry thermal sensors. For this effort, CIRES (part of ...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalcoloradociresasterlandsatremote sensingthermal infraredtarget areasgeothermal potentialidentifydeep resource wellspotential

Silver Peak Innovative Exploration Project (Ram Power Inc.)

Jan 01, 2010
463.6 MB
Publicly accessible
Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a deep-circulation (amagmatic) meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich...
Authors
Miller, C. Ram Power, Inc.
geothermalsilver peakgravitymagneticmtradiometricsregional temperatureremote sensingresource modelseismicfluid datawell dataphotosgeologywalker lanelate miocenepliocenelone mountainesmeralda countynevadagravity surveygridterrain5km10kmupward continued regional residualbougerhorizontal gravity gradientnorth americaimperial countymagnetic reporttmiigrftotal magentic intensitymagnetotelluric surveymt surveyresistivity3dground mtztemradiometric survey silver peak20102011temperatureshallow temperature gradienttemperature gradient holestghasterphotographs2dseismic reflection surveyfaultsmesquitefluidchemistrygeologymapgeospatial data

Spatial Analysis of CIRES ASTER and LANDSAT thermal infrared anomalies

May 26, 2011
136.24 kB
Publicly accessible
CIRES provided polygon shapefiles showing areas of anomalously warm ground, derived from ASTER and LANDSAT remotely sensed thermal infrared imagery. Partly from these anomalies, and partly through other evidence layers, CIRES came up with 'polygons' representing areas prospective ...
Authors
Zehner, R. Flint Geothermal, LLC
geothermalcoloradoasterlandsatthermal infraredremote sensingthermal anomaliesspatial analysisinfrared imagery

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

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

Utah FORGE: Phase 2C Topical Report

Dec 11, 2019
147.81 MB
Publicly accessible
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...
Authors
Moore, J. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyforgeutah forgeutah forge phase 2c reportphase 2c topical reportutah forge phase 2cegsmoderate rate injection testsmicroseismicdistributed acoustic sensingdasseismic reflection surveygravity measurementsinsarstimulatednumerical reservoir modelsalluvium-granitoidinjection testingmilfordroosevelt hot springsoverviewresultslessonslearnedconclusionspermittingcharacterizationsitedata inventoryconceptualgeologicmodelgeophysicsseismicgravitygeologyfeasibilitytechnicalinjection testmicroseismicityremote sensingmodelingstimulation

GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Apr 04, 2022
1.04 GB
Publicly accessible
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...
Authors
Ahmmed, B. Stanford University
geothermalenergymachine learningartificial intelligenceaiexplorationmodelmodelingprocessed datatraining datatraining datasetremote sensinghidden geothermal resourcesresource detectiondiscoverydevelopmentresourceneural networkprediction

Utah FORGE: GPS Data Deformation Monitoring

Jun 24, 2019
349.04 MB
Publicly accessible
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...
Authors
Erickson, B. and McKean, A. Energy and Geoscience Institute at the University of Utah
geothermalenergygps datautah forgedeformation monitoringutah geothermalgpsdeformationhorizontal velocitygeodesystructuralgeologynoaaopustbcutah geological surveygnssforgesystems analysisphase 2cmonitoringtrimblepstmpsdmmilfordroosevelt hot springsutahraw dataprocessingpre-processingreportegsremote sensingstation coordinatesprocessed data

Utah FORGE: InSAR Data 2019

Jul 01, 2019
478.35 MB
Publicly accessible
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...
Authors
Feigl, K. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forge phase 2cutah forgeinsarutahground deformation monitoringdigital elevation modelsynthetic aperture radarsarradarsynthetic aperturesatelliteinterferometricmilfordroosevelt hot springsphase 2cgeodeticsegsimagingremote sensingforgedeformationground deformationprocessed datageospatial data

Fallon FORGE: LiDAR Acquisition and Processing Report

May 23, 2016
35.38 MB
Publicly accessible
The data is associated to the Fallon FORGE project and includes LiDAR from the Navy GPO. Also included are geologic maps from the USGS and Nevada Bureau of Mines and Geology for the Fallon, NV area.
Authors
Bucher, K. et al Sandia National Laboratories
geothermallidarforgeegsfallonnevadanas fallonnavy gpogeologyremote sensingreportprocessingacquisition

Utah FORGE: InSAR Data from 2020

Dec 24, 2020
982.9 MB
Publicly accessible
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...
Authors
Batzli, S. and Feigl, K. University of Wisconsin
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsraw datapreprocessed datainsarremote sensing

Utah FORGE: InSAR Data from 2021

Nov 30, 2021
1.19 GB
Publicly accessible
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...
Authors
Batzli, S. and Feigl, K. University of Wisconsin
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsraw datapreprocessed datainsarremote sensing

Utah FORGE: InSAR Data from 2022

Nov 30, 2022
350.4 MB
Publicly accessible
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...
Authors
Batzli, S. and Feigl, K. University of Wisconsin
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsraw datapreprocessed datainsarremote sensing

Utah FORGE 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone

Nov 15, 2022
885.78 kB
Publicly accessible
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...
Authors
Um, E. et al Lawrence Berkeley National Laboratory
geothermalenergyegsremote sensingwell characterizationutah forgewell 16awell 16b

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

Envisat Track 349 and Sentinel-1A Track 64 Interferometric Synthetic Aperture Radar Data of Coso Geothermal Field, California, USA, 2004-2016

Jun 25, 2019
648.26 MB
Publicly accessible
This submission contains tarred pair directories for interferometric synthetic aperture radar (InSAR) data covering Coso Geothermal Field in California, USA. Explanation of pair subdirectories: Pairs are formed using the InSAR processing software GMT5SAR (Sandwell et al., 2011). ...
Authors
Reinisch, E. and Feigl, K. University of Wisconsin
geothermalenergyinsardemcoso geothermal fieldcaliforniaenvienvisats1asentinel-1aremote sensingcosotrack 349track 64pairgmt5sardigital elevation modelraw dataprocessed datageospatial dataphaseporotomocharacterizationhydrothermalhigh temperatureradar

Graph Theory for Analyzing Pair-wise Data: Application to Interferometric Synthetic Aperture Radar Data

Jul 28, 2016
3.96 MB
Publicly accessible
Graph theory is useful for estimating time-dependent model parameters via weighted least-squares using interferometric synthetic aperture radar (InSAR) data. Plotting acquisition dates (epochs) as vertices and pair-wise interferometric combinations as edges defines an incidence gr...
Authors
Reinisch, E. University of Wisconsin
energyporotomoinsartime seriestemporal adjustmentgraph theoryporoelastic tomographythesispapermodelparametersmodelingtime-dependenttime-varyingweighted least-squaresinversionradarinterferometricsynthetic aperturelaplaciancovariancematrixmatlabgraphtreetaalaskaakokmokvolcanomagmavolumemethodimplementationapplicationviscousflowviscoelastic relaxationremote sensing

Utah FORGE: Interferometric Synthetic Aperture Radar Data from 2023 and 2024

Jul 17, 2024
19.15 GB
Publicly accessible
The dataset comprises Interferometric Synthetic Aperture Radar (InSAR) data from the TerraSAR-X and TanDEM-X satellite missions, covering the Utah FORGE site. This data includes interferometric pairs created using GMT-SAR processing software, chosen for their short orbital separat...
Authors
Batzli, S. and Feigl, K. University of Wisconsin Madison
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsinsarterrasar-xtandem-xsatelliteremote sensingnetcdfgmt-sardemdigital elevation model

Utah FORGE 3-2535: Compilation of Geodetic Data and Estimation of Associated Deformation

Apr 29, 2022
17.77 MB
Publicly accessible
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...
Authors
Vasco, D. et al Lawrence Berkeley National Laboratory
geothermalenergyinsarground deformationcompressional velocity modelegsremote sensingwell characterizationwell 16awell 16butah forge

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

SubTER Final Magnetotelluric (MT) Data: Mineral Mountains, Utah

Oct 13, 2021
15.16 MB
Publicly accessible
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...
Authors
Wannamaker, P. Energy and Geoscience Institute at the University of Utah
geothermalenergysubtersubter mtmagnetotelluric datamt datamineral mountainsmineral mountains mtutah subterutah mtutahmagneticsgeophysicsprocessed datadatamagnetotelluricmtmt soundings
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