OpenEI: Energy Information
  • Geothermal Data Repository
  • My User
    • Sign Up
    • Login
 
  • Data
    • View All Submissions
    • Data Lakes
    • Data Standards
    • Submit Data
  • Help
    • Frequently Asked Questions
    • Data Submission Best Practices
    • Data Submission Tutorial Videos
    • Contact GDR Help
  • About
  • Search

Search GDR Data

Showing results 1 - 25 of 110.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"Closed Loop Geothermal Working Group"×
Remote Sensing×

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

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

Lightning Dock Geothermal Field Data Package, Hidalgo County, New Mexico

Aug 19, 2026
7.4 GB
Publicly accessible
This submission is a curated geoscience, well and plant-operations data package for the Lightning Dock geothermal field in the Animas Valley, Hidalgo County, south-western New Mexico, a liquid-dominated system produced for binary (ORC) power generation. It covers well-by-well data...
Authors
Ifrene, G. et al Zanskar Geothermal
lightning dockwell logsgisproduction datageothermalenergytracer testpower generationgeochemistrygeophysicsgroundwaterbinary systemorcdownhole temperaturebouguermagnetotelluricinversion modelsaeromagneticsgravity surveylidarquaternary faultgeologymud logstemperature

Geothermal Mineral Alterations in Brady and Desert Peak

May 15, 2021
1.54 GB
Publicly accessible
Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas. This is the post-processing results and final analysis results of applying target detection algorithms and then fusing the results.
Authors
Moraga, J. Colorado School of Mines
geothermalenergymineral alterationshydrothermal alteration mineralshymapbradydesert peakgeospatial datadataprocess dataremote sensingtarget detectionspectral analysisgeothermal areanevada

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

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

Geothermal Exploration Cost and Time

Feb 13, 2013
14.89 kB
Publicly accessible
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 ...
Authors
Jenne, S. National Renewable Energy Laboratory
geothermalcosttimeexplorationgeophysicsgeochemistrydrillingremote sensingeconomic

Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
59.5 GB
Publicly accessible
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there ar...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasenevadadesert peakartificial intelligenceairaw dataprocessed dataremote sensinghyperspectralmachine learningdeep learningexplorationarcgismodelsite detectionanomaly detectiongeothermal site detectiondatabasehydrothermalgeophysicsradarshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellgisblindblind systemhyperspectral imaginggeophysicaldeformationconceptual modelfaultpreprocessedgeospatial data

First Priority Geothermal Target Areas as Identified by ASTER and LANDSAT Thermal Imaging of Parts of Colorado

Feb 01, 2012
7.08 MB
Publicly accessible
The CIRES remote sensing unit of the University of Colorado was commissioned by Flint Geothermal LLC to identify areas of warm ground that could signify the thermal signature of "blind" geothermal systems. Using ASTER and LANDSAT data along with other characteristics considered fa...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalcoloradothermal infraredasterlandsatremote sensingpotential siteschaffee countydelta countyeagle countygarfield countypark countyroutt county

Brady Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
179.02 GB
Publicly accessible
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-proces...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasebrady hot springsbradyartificial intelligenceaibrady wellseismicremote sensinghyperspectralgeospatial databasedeep learningmachine learningexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datanevadaarcgismodeldatabasehydrothermalgeophysicsradargisblindblind systemdeformationgeophysicalhyperspectral imagingconceptual modelfaultpreprocessedrastervectorfield datageospatial data

Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
148.82 GB
Publicly accessible
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (po...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasesalton seaartificial intelligenceaideep learningmachine learningseismicremote sensinghyperspectralhyperspectral imaginggeospacial databaseexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datacaliforniaarcgisgismodeldatabasehydrothermalgeophysicsradarblindblind systemdeformationgeophysicalconceptual model faultpreprocessedrastervectorfield datageospatial data

Nevada Play Fairway Sou Hills Geodatabase and Modeling Data

Aug 25, 2018
35.74 GB
Publicly accessible
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 ...
Authors
Faulds, J. Nevada Bureau of Mines and Geology
geothermalenergynevadaplay fairwaytemperaturegravitylidarwellssou hillsnvpfageodatabaseshapefilearcgisgisgeospatial datageophysicsprobe surveymodelingslipdilationwell headernv great basin

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

Nevada Great Basin Play Fairway Analysis Reports & Appendices

Oct 28, 2015
52.81 MB
Publicly accessible
This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. ...
Authors
Faulds, J. et al Nevada Bureau of Mines and Geology
geothermalnevadaplay fairwayreportappendicesgreat basinnbmgnvpfacarson sinksteptoe valleygeophysicsgeophysicalgeologygeologiclidargeochemicalgravityseismic reflectionmtmagnetotelluricsgeodeticgeodesyshallow temperaturesoil gasslip and dilation tendancy3d modelingthermal modelingexplorationresource assessmentresource potentialinvestigationsurveypreliminarysite assessmentfavorabilitynv great basin

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

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

Programs and Code for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
710.72 kB
Publicly accessible
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...
Authors
Moraga, J. Colorado School of Mines
geothermalenergycodershell scriptsgeothermal aimachine learningself organizing mapk-meanspythonaiartificial intelligencedeep learningexplorationgeothermal explorationremote sensingblindsite detectionlstland surface temperaturenumpyrastertensorflowk meananomaly detectionlandsat adr lstsbatchslurmshell

Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields

Oct 01, 2021
36.68 MB
Publicly accessible
Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas. The analysis was performed using ENVI's Target Detection process against USGS library spectra for Chalcedony, Kaolinite, Gypsum, Hematite and Epsomite...
Authors
Moraga, J. Colorado School of Mines
geothermalenergyhydrothermal mineral alterationsmineral markershymapbradydesert peakdata fusiongeospatial datamineral alterationsspectral analysistarget detectionremote sensingdataprocessed datageothermal areanevada

DEEPEN Data Catalog for Magmatic Geothermal Systems in the United States

Sep 30, 2021
1.88 MB
Publicly accessible
This data catalog contains information related to the Training Site Analysis for the Geothermica project "DE-risking Exploration of geothermal Plays in magmatic ENvironments (DEEPEN)." The DEEPEN project aims to reduce exploration risk for geothermal fluids in magmatic systems by ...
Authors
Kolker, A. et al National Renewable Energy Laboratory
geothermalenergyworld volcanic centerspfaplay fairwaydeepenmagmatic environmentsexplorationdata catalogmagmaticcosoaleutianscascadeshawaiioregoncaliforniasnake river plainsrpwashingtonnewberryvolcanicvolcanogeyserssupercriticalcharacterizationgeophysicsgeologygeochemistrytemperaturewell datamodelinggroundwaterremote sensing

Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques

Feb 01, 2012
273.17 kB
Publicly accessible
This layer contains the areas identified as targets of potential geothermal activity. The Criteria used to identify the target areas include: hot/warm surface exposures modeled from ASTER/Landsat satellite imagery and geological characteristics, alteration mineral commonly associa...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalremote sensingcoloradothermal infraredtarget areasarcgisgisshapefileshape filegeospatialdatageospatial datahot springsthermal anomalies

Analysis of Existing InSAR Data Brady Hot Springs Geothermal Area

Dec 26, 2014
41.55 kB
Publicly accessible
Attributes of synthetic aperture radar (SAR) data acquired by TerraSAR-X and TanDEM-X satellite missions and archived at WInSAR facility.
Authors
Feigl, K. University of Wisconsin
geothermalsynthetic aperture radarinsarsarradarsynthetic aperturesatellitewinsarterrasar-xtandem-xinterferometricwestern north americabradyporotomobrady hot springsbrady geothermal

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

Play Fairway Analysis CA-NV-OR: San Emidio Geophysical Data

Aug 05, 2015
12.56 MB
Publicly accessible
Various geophysical exploration data for San Emidio KGRA
Authors
M, C. University of California
geothermalgeophysicssan emidiogravityself potential resistivitygradiometrymagneticpsinsargeophysical surveyinvestigationassessmentsurveysiteresourcespinterferometrygradientremote sensingmagneticsinsarca-nv-orpfaplay fairway analysis

Colorado Potential Geothermal Pathways

Feb 01, 2012
68.99 kB
Publicly accessible
This layer contains the weakened basement rocks. Isostatic gravity was utilized to identify structural basin areas, characterized by gravity low values reflecting weakened basement rocks. Together interpreted regional fault zones and basin outlines define geothermal "exploration f...
Authors
E., R. Flint Geothermal, LLC
geothermalcoloradobasement weaknessgravityfaultsfluid flowbasement weaknessesarcgisshapefileshape filegeospatialgeospatial datadatageophysicsexplorationpfaplay fairwayanalysissuperheated fluid flowvolcanic activityremote sensingfault detectionanomaly detection

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
12345Next >>
Google Map
  • About the GDR
  • Partners & Sponsors
  • Disclaimers
  • Developer Services
  • The GDR provides free access to data generated from projects funded by the U.S. Department of Energy's Office of Geothermal.
  • Content is available under Creative Commons Attribution 4.0 unless otherwise noted.

Privacy Policy Notification

This site uses cookies to store and share user preferences with other OpenEI sites, and uses Google Analytics to collect anonymous user information such as which pages are visited, for how often, and what searches or other webpages may have led users here. You can prevent Google Analytics from recognizing you on return visits to this site by disabling cookies on your browser or by installing a Google Analytics Opt-out Browser Add-on. By clicking "Accept" you agree this site can store cookies on your device and disclose information to OpenEI and Google Analytics in accordance with our privacy policy.

OpenEI Privacy Policy Google Analytics Terms of Service