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Utah FORGE: DAS and Downhole Geophone Data from the August-September 2024 Circulation Test

May 01, 2026
Size unavailable
In progress
This dataset contains distributed acoustic sensing (DAS) and downhole geophone data collected during the August-September 2024 circulation period at the Utah FORGE site. The DAS data were acquired from well 16B(78)-32 as continuous H5 records during circulation operations. Embedde...
Authors
Dyer, B. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegsdistributed acoustic sensingdasdownhole geophone3c geophonethree-component geophonecirculation testh5seg-2datstrain rate16b78-3256-3278b-32seismic datawell trajectoriesgeophysicsraw dataprocessed data

Lost Circulation Materials in Geothermal Drilling: Thermal Degradation, Viscosity, Compression, and Flow Loop Tests

Feb 01, 2022
2.29 GB
Publicly accessible
This dataset provides a set of experimental data on the performance of lost circulation materials (LCMs) used in geothermal drilling operations. It includes results from four distinct tests: thermal degradation, viscosity measurements, compression tests, and high-temperature flow ...
Authors
Kibikas, W. et al Sandia National Laboratories
geothermalenergylost circulation materialslcmgeothermal drillingdrillingraw dataprocessed datamass loss measurementslost circulation managementdegradationthermal degradationdegradation patternrheologyfluiddrilliing fluidhigh temperatureflow testcompression testflow loop testsealingviscosity measurements

Utah FORGE: Triggered DAS and Continuous Downhole Geophone Data from April 2024 Stimulations

Apr 01, 2024
35.23 TB
Publicly accessible
This dataset contains distributed acoustic sensing (DAS) and downhole geophone data collected during the April 2024 stimulation experiments at the Utah FORGE site. DAS data were acquired from well 16B(78)-32 by Neubrex and processed by GeoEnergie Suisse (GES), covering the period ...
Authors
Dyer, B. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegsdasdistributed acoustic sensingseismictriggered eventsgeophonesdownholedownhole seismicneubrexgeoenergie suissegesaprill 2024stimulationhydraulic fracturingcountinuous dataraw dataprocessed datageophysics58-3216b78-3256-32monitoring well

DASH Slow Strain Rates from Brady Hot Springs Geothermal Field during PoroTomo Deployment Period

Jun 27, 2018
4.98 GB
Publicly accessible
This submission contains slow strain rates summed to radians over 30 second intervals [rad/s] derived from horizontal distributed acoustic sensing measurements (DASH) of Brady geothermal field during PoroTomo deployment (2016-Mar-14 to 2016-Mar-26). There is one file correspondin...
Authors
Reinisch, E. et al University of Wisconsin
geothermaldashporotomoslow strainbrady hot springsdashorizontaldistributed acoustic sensingmatlabstrain ratestraincharacterizationgeophysicshydrothermalbradyprocessed datasoftwarerepositorytechnicalreportslow strain rate

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

Utah FORGE: Triggered 3-Component Surface Nodal Seismic Waveforms from the April 2022 FOAL 1 Experiment

Jun 30, 2026
736.6 MB
Publicly accessible
This package contains triggered 3-component surface nodal seismic waveforms recorded during the FOAL 1 experiment, or FORGE Observation Array Linear #1, which occurred during the April 2022 hydraulic stimulation of well 16A(78)-32 at the Utah FORGE EGS site. This data was utilized...
Authors
Kim, J. et al Rice University
geothermalenergyegsutah forgeforgemicroseismichydraulic stimulationfoal 1forge observation array linear16a32-32april 2022microseismicityinduced seismicitypassive seismic monitoringsurface nodal array3-component seismic datasmartsolominiseedstationxmlevent catalogwell trajectoryfogmoregeophysicsseismic dataprocessed data

High-Pressure and High-Temperature (HPHT) Lost Circulation Material (LCM) Testing

Nov 30, 2021
7.92 MB
Publicly accessible
High-pressure and high-temperature (HPHT) lost circulation material (LCM) rheology test results, LCM particle size distributions (PSD) analysis, and HPHT LCM fluid loss test results. Three academic papers / reports derived from this research are also presented.
Authors
Salehi, S. and Vivas, C. University of Oklahoma
geothermalenergylost circulation materialshpht filtrationfracture sealingparticle size distributionrheologydrilling fluid additivesgelationthermal degradationhigh pressure high temperaturepsdtemperaturemodeldrillingwellboreexperimenttechnologyprocessed datalcm

Nationwide Heat Flow, Well Data, and Related Files in the SMU Node of the National Geothermal Database System (NGDS)

Mar 01, 2014
21.6 GB
Publicly accessible
This dataset compiles heat flow and temperature gradient data from over 44,000 wells across the United States, along with more than 6,000 related geothermal exploration resources. Originally assembled prior to 2014 for the now-retired National Geothermal Data System (NGDS), the co...
Authors
Blackwell, D. et al Geothermal Laboratory, Southern Methodist University
geothermalenergyheat flowtemperature gradientbhtwell datangdsgeothermal explorationthermal conductivityradiogenic heatoil and gas wellsgeothermal wellssubsurface datageological dataprocessed datatechnical reportspublicationsgeothermal mappingngds-smusmu node

EGS Collab Experiment 1: Microseismic Monitoring

Jul 29, 2019
2.83 TB
Publicly accessible
The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first expe...
Authors
Schoenball, M. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsmicroseismic monitoringmeso-scale stimulationssandford underground researchmesoscale experimentscrystalline rock3d sensorleadsouth dakotasta/lta triggering algorithmmicroseismicitycatalograw dataprocessed databinary file interpreterpythongeospatial data

Utah FORGE: Tensor Strainmeter Data for the April, 2024 Stimulation of Wells 16A(78)-32 and 16B(78)-32

Sep 09, 2025
4.44 MB
Publicly accessible
This dataset contains time series data from the four Tensor Optical Fiber Strainmeters at Utah FORGE, recorded during all stages of the April 2024 hydraulic stimulations of wells 16A(78)-32 and 16B(78)-32. The data span from midnight UTC on April 4 through April 18, 2024, and are ...
Authors
Murdoch, L. Clemson University
geothermalenergystrainstrainmeterutah forgetensor strainstimulationforgeoptical fiberegshydraulic stimulationprocessed data16a78-3216b78-32strain datageomechanicstime seriesbarometric pressureslurry ratetreatment pressuregeothermal reservoirstimulation monitoring

Testing LCM on a Large Scale for Geothermal Drilling Applications Using a Novel Experimental Setup

Apr 22, 2022
15.98 MB
Publicly accessible
Rheology data obtained from flow loop tests, performed using different lost circulation materials (LCM) to study their effect on fluid rheology and wellbore hydraulics. The sealing performance of different LCM was tested using different fracture sizes. Five academic papers / repor...
Authors
Mohamed, A. et al University of Oklahoma
geothermal drillinglost circulationsealing efficiencyrheologyhigh temperatureflow loop3d printingtemperaturecharacterizationdrilling fluid additivesshape memory polymergeothermal wellshpht challengesdrilling fluidwellbore hydraulicshole cleaningfluid stabilitysmart lcmht flow looplost circulation materialannular flowrheological propertiesgeothermalenergyviscosifierfiltration controlhphtgeochemistrywellboredrilling technologyexperimenttechnologyreportsgwmodeldrillingprocessed data

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: Satellite Imagery and Digital Aerial Photography

Mar 02, 2016
Size unavailable
Publicly accessible
This is a link to the USGS Global Visualization Viewer which can be used to locate and download a variety of remotely sensed data including the ASTER multispectral data that was used in the Utah FORGE project.
Authors
Moore, J. Energy and Geoscience Institute at the University of Utah
geothermalmultispectralsatellite imagerydigital aerial photographyforgeutah forgeegsremote sensing dataaerial photographyremote sensingusgs datamultispectral dataaster datautahsatelliteimageryasterroosevelt hot springsmilfordprocessed data

Utah FORGE: Chemical-Based Tool Deployment Data for Inflow Detection at Wells 58-32 and 16B(78)-32 Summer 2024 Circulation Test

Mar 31, 2025
57.32 MB
Publicly accessible
This dataset comprises field logging data collected during chemical-based tool deployments at the Utah FORGE geothermal site, specifically at monitoring well 58-32 and production well 16B(78)-32. Data acquisition occurred during the Summer 2024 circulation testing campaign, with t...
Authors
Sausan, S. et al Stanford University
geothermalenergychloridechemical toolwirelineutah forgeisegeothermal loggingchloride sensorion-selective electrodeinflow detection58-3216b78-32chemical logging toolpoohpull out of holerihrun in holehigh-temperature toolcirculation testpressure-temperature-depthfield logging dataelectrochemicalchloride concentrationfracture characterizationreservoir charecterizationraw dataprocessed datatechnical reportvisualizations

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

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

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

Utah FORGE: Area Terrain Slope Data

Dec 10, 2018
9.27 GB
Publicly accessible
This archive contains a terrain slope image, in units of degrees, of the Utah FORGE area near Roosevelt Hot springs. The data was derived from 0.5 m resolution LiDAR DEM data and is in a GeoTiff format. It was processed using ArcGIS.
Authors
Nash, G. Energy and Geoscience Institute at the University of Utah
geothermalenergyforgeslopeslope imageroosevelt hot springsterrain slopeslope degreesutah forgemilfordtopographylidardigital elevation modeldemgeotiffgeospatial dataarcgisgisutahterrainprocessed dataegsremote sensing

Utah FORGE: Area LiDAR Bare Earth DEM Mosaic

Aug 07, 2018
6.86 GB
Publicly accessible
This is a mosaic of 154 bare earth DEM panels (0.5 m resolution) acquired during Phase II of the Utah FORGE project. The DEM covers the western Mineral Mountains and adjoining basin including the Roosevelt Hot Springs area. The coordinates are in UTM Zone 12, NAD 83 and elevation ...
Authors
Nash, G. Energy and Geoscience Institute at the University of Utah
geothermalenergylidarlidar demlidar bare earthroosevelt hot springsutah forgeforgedigital elevation modelfrontier observatory for research in geothermal energyutahutgeospatial databare earthmodelgeotiffremote sensingdemphase 2elevationegsmilfordprocessed datamineral mountains

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

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

Hybrid machine learning model to predict 3D in-situ permeability evolution

Nov 22, 2022
5.58 MB
Publicly accessible
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...
Authors
Elsworth, D. and Marone, C. Pennsylvania State University
geothermalenergyegsnewberryhydraulicstimulationprocessed datamachine learningpermeability evolutionhydraulic fracturinginduced seismicityegs collabseismic data analysiswellhead pressureflow ratefracture permeabilitymicroearthquakeenhanced geothermal systems

Utah FORGE: Wells Updated Temperature and Pressure Logs (June 2021)

Jun 29, 2021
3.25 MB
Publicly accessible
This dataset includes updated temperature and pressure logs for Utah FORGE wells 56-32, 78-32, and 58-32. This data was acquired in June 2021.
Authors
Stout, F. Di Drill Survey Services
geothermalenergyutah forgewelllogstemperature pressure logswell 58-32well 56-32well 78-32temperaturepressuredataraw dataprocessed datautahforgeegs
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