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Utah FORGE: Earth Model Mesh Data for Selected Surfaces

Dec 07, 2018
20.83 MB
Publicly accessible
This submission contains a number of data files with vertices of meshed/interpolated surfaces used in the Phase 2B earth model. Examples include land surface (based on 10-meter DEM), the granitoid-basin fill contact, several faults, and also interpolated temperature isosurfaces f...
Authors
Podgorney, R. Idaho National Laboratory
geothermalenergystudent competitionearth modelforgeroosevelt hot springsutahdemdigital elevation modelgeospatial datacoordinateisosurfacefaultstructurestructuraldatalocationland surfacetemperatureopal moundnegro magegsmilfordenhanced geothermal systemutah forgemodelingmodellingmesh datagranitoidtoptopographygeologybasin fillresourcecharacterizationprocessed data

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

DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

Jun 30, 2023
413.96 MB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Authors
Pauling, H. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsnewberrymagmatichydrothermalpfaprocessed dataexplorationcharacterizationdatasetsgeodata3dmodelingdemlidarmtmagnetotelluricsgravitydensityresistivityearthquake catalogseismicvelocitytemperature modelgeologic modelalteration modelwell data

Snake River Plain Play Fairway Analysis Favorability Models

Jun 01, 2020
Size unavailable
Publicly accessible
This submission contains a link to two USGS data publications. Each data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis for Phase 1 and Phase 2 (ArcGIS shapefiles and raster files) as well as the model processing scrip...
Authors
DeAngelo, J. et al Utah State University
geothermalenergygissnake river plainplay fairway analysissrppfaidahorasterarcgisshapefileblindresourcecharacterizationgeospatial datafavorabilitymodelgeologicgeophysicalmodelingprocessed data

GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

Jan 30, 2023
725.34 MB
Awaiting release
This dataset contains example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) framework, specifically for the fictional Kahunanui (KHN) geothermal power plant. The dataset includes synthetic time series data, confi...
Authors
Taverna, N. et al Upflow
geothermalenergymachine learninggoomlpower plantoptimizationgenetic optimizationregressionneural networkoperationssynthetic datakahunanuiforecasthindcastdata curationinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsprocessed datapythonjupyter notebookmodelmodelingcode

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

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: 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: InSAR Data Best Pairs

May 31, 2023
4.9 GB
Publicly accessible
This submission provides Interferometric Synthetic Aperture Radar (InSAR) data covering the Utah FORGE site via the TerraSAR-X and TanDEM-X satellite missions operated by the German Space Agency (DLR). Data was collected between 2019/01/01 and 2023/06/30. Interferometric pairs (...
Authors
Batzli, S. and Feigl, K. University of Wisconsin Madison
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsremote sensinginsargeospatial dataprocessed dataterrasar-xtandem-xdigital elevation modelrasterdlrgmt-sargeneric mapping tool

Magnetotelluric Data Collected in 2016 over the San Emidio Geothermal Field in Nevada

Nov 09, 2016
132.47 MB
Publicly accessible
This data set includes the magnetotelluric (MT) data collected from October 21 to November 9, 2016 over the San Emidio geothermal field in Nevada by Quantec Geoscience USA Inc. on behalf of US Geothermal Inc. as part of a project entitled "A Novel Approach to Map Permeability Usi...
Authors
Folsom, M. et al Ormat Technologies, Inc.
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalprocessed datageophysicsintegrated geologic modelpassive micro-seismicgravitymagnetotelluricspacific dc intertie

Alternative CAES Technology Using Depleted Unconventional Gas Wells and Subsurface Thermal Energy Storage (GeoCAES)

May 23, 2019
413.08 kB
Publicly accessible
This project assessed the technical viability of a process called GeoCAES. The process stores electrical energy by injecting natural gas into shale gas formations using a compressor, storing it, and producing it through an expander to generate electricity. This data submission inc...
Authors
Johnston, H. and Young, D. National Renewable Energy Laboratory
geothermalenergyenergy storagenatural gasunconventional shalegeocaesmodelwellgeothermal energy storagegeothermal reservoirsurface plantfeasibilitytechnologytestechnicaltechnical assesmentcodeprocessed data

Utah FORGE: Report and Associated Data from Measuring and Modeling Deformation 2018 through 2024

Aug 16, 2018
30.41 MB
Publicly accessible
The report provided here describes research activities between August 16th, 2018 and July 30th, 2024. The goals of the research activities are to conduct an Interferometric Synthetic Aperture Radar (InSAR) analysis and Ground Surface Deformation Modeling at the Utah FORGE site. In...
Authors
Feigl, K. and Batzli, S. University of Wisconsin Madison
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsinsarinterferometric synthetic aperture radarmodelingreportprocessed dataground deformationhydromechanical modelingfinite-elementgpssurface displacement

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

Utah FORGE: Phase 3 Native State Model 2022 Update

Jul 29, 2022
326.43 MB
Publicly accessible
This is the Phase 3 native state model update. The Phase 3 numerical model represents a significant subsurface volume below the FORGE site footprint. The model domain of 4.0 km x 4.0 km x 4.2 km is located approximately between depths of 4000 to 4200 meters below land surface. Thi...
Authors
Podgorney, R. and Liu, R. Idaho National Laboratory
geothermalenergyutah forgenative state modelstresspressuretemperature16a78-3256-3258-3278-3278b-32fracturespore pressurereservoir potentialraw datasimulationmodelinputinput filesprocessed datawater

Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study

Apr 30, 2022
15.3 MB
Publicly accessible
This is data from and a final report on the development of a 3D velocity model for the larger FORGE area and on the seismic resolution in the stimulated fracture volume at the bottom of well 16A-32. The velocity model was developed using RMS velocities of the seismic reflection su...
Authors
Vasco, D. and Chan, C. Array Information Technology
geothermalenergyseismic velocity modelseismic resolution3d p-wave3d s-waveseismicraw dataprocessed datawell 16a-32utah forge

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

Snake River (Idaho) Geothermal Drilling Project: Innovative Approaches to Geothermal Exploration

Feb 21, 2014
105.74 MB
Publicly accessible
The goal of our project was to test innovative exploration technologies using existing and new data, and to ground-truth these technologies using slim-hole core technology. The slim-hole core allowed us to understand subsurface stratigraphy and alteration in detail, and to correla...
Authors
Shervais, J. et al Utah State University
geothermalenergyslimhole drillingsnake river plaininnovative explorationkimamakimberlymountain homebasaltrhyolitegeophysicsgeochemistrytechnicalassessmentprocessed dataidahoconceptual model

Utah FORGE: 2024 Discrete Fracture Network Model Data

Sep 08, 2024
1.4 GB
Publicly accessible
The Utah FORGE 2024 Discrete Fracture Network (DFN) Model dataset provides a set of files representing discrete fracture network modeling for the FORGE site near Milford, Utah. The dataset includes four distinct DFN model file sets, each corresponding to different time frames and ...
Authors
Finnila, A. and Jones, C. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgedfndiscrete fracture modellingfracturesstochastic fracturestensile fracturesdiscrete fracture network modelegsplanar fracturespermeabilityporositycompressibilitystoragemeqhydraulic stimulationmodelmodelingprocessed data

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

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

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

Steptoe Valley NV Data Compilation: Understanding a Stratigraphic Hydrothermal Resource through Geophysical Imaging

Nov 01, 2023
1.43 GB
Publicly accessible
Sandia National Laboratories partnered with a multi-disciplinary group of subject matter experts to evaluate a stratigraphic geothermal resource in Steptoe Valley, Nevada using both established and novel geophysical imaging techniques. Provided here are a compilation of newly acqu...
Authors
Schwering, P. et al Sandia National Laboratories
geothermalenergynevadasteptoe valley3d geological modelmtgeochemistryhydrothermalstratigraphygeophysicsmagnetotelluricscsemelectromagneticsgravitygeologymodelingreflectionseismicleapfrogseismic reflectionwater sampleprocessed dataraw datacontrolled-source electromagneticleapfrog energyfeasibilityaqueous

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

Utah FORGE: 2024 Stimulations Microseismic Event Catalog from Seismic Surface Network

Jul 29, 2024
Size unavailable
Publicly accessible
This archive provides a a link to a microseismic event catalog of the 2024 stimulations at Utah FORGE. The catalog was derived from data collected with the surface monitoring network consisting of 5 permanent seismic stations deployed by the University of Utah Seismograph Station...
Authors
Niemz, P. et al University of Utah Seismograph Stations
geothermalenergyutah forgeseismic dataseismicstimulationwell 16b78-32 stimulationseismicitystimulation seismic dataegs2024 stimulationcatalogmicroseismic event catalogevent catalogsurface monitoring networkgeophysicsmagnitude calibrationresearch articleprocessed datadata catalogseismograph stationshydraulic fracturingreservoir engineering
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