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 121.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"field work"×
Website×

Utah FORGE 2-2446: Characterizing Stress Roughness Through Simulation of Hydraulic Fracture Growth

Jan 30, 2025
2.55 MB
Publicly accessible
This dataset covers work that investigated the apparent toughness anisotropy at Utah FORGE by comparing microseismic data with stress profiles from field measurements. The study analyzes the hydraulic fracture growth of Stage 3 at Well 16A(78)-32 using MEQ data, calibrating a nume...
Authors
Cusini, M. and Fei, F. Lawrence Livermore National Laboratory
geothermalenergyutah forgestress roughnesshydraulic fracturingmeqegsstress profilefield measurementshydraulic fracture growth16a78-32stage 3geostechnical reportprocessed datageophysics2-2446toughness anisotropyrock mechanics

3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA

Oct 01, 2021
7.12 MB
Publicly accessible
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...
Authors
Siler, D. and Pepin, J. United States Geological Survey
geothermalenergypca3d geologic modelgeologic modelgeologycharacterizationmachine learningmlbhsbrady hot springsprincipal component analysisproductionstressfaultsrbradyhydrothermalgeologic structureunsupervised3d well datacodegeothermicgeophysics

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

Oct 01, 2021
5.68 MB
Publicly accessible
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Authors
Siler, D. et al United States Geological Survey
geothermalenergynmfkbrady hot springsmachine learningmlbhsnonnegative matrix factorization k-meanshydrothermalbradyk-meansclusteringnonnegative matrix factorizationmatrix factorizationgeothermalcloudsmarttensorsunsupervised3d well data3d geologic mapgeologic structurefaultsstressgeologycharacterizationgeologic modelproductioncode

Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

Aug 30, 2024
973.4 kB
Publicly accessible
This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...
Authors
Lu, G. et al University of Pittsburgh
geothermalenergyutah forgein-situ stress estimationphysics-based modelingfinite element methodmachine learning modelthermo-poro-mechanical effectwell loggingvelocity-to-stress relationshipmachine learningfemreporttechnical report16a78-32mlegs2-2439v2principal stressstress predictionfar-fieldpre-cooling

Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report

Sep 28, 2023
3.69 MB
Publicly accessible
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...
Authors
Mustafa, A. et al Battelle Memorial Institute
geothermalenergyutahforgegeomechanicsmachine learningffnnartificial neural networkannin-situ stressstress characterizationlabtuvtriaxialstressfeed forward artificial neural networkmlegsmodellingexploratory data analysiseda

PoroTomo Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1

Jan 09, 2019
105.8 MB
Publicly accessible
This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment conducted in March, 2016. The measurements in this data set were made on August 24, 2018 over an approximately 20 hour per...
Authors
Kratt, C. et al Oregon State University
geothermalenergydtsbradyporotomoctempsfiber opticsilixadistributed temperature sensingwell 56-1matlabdataporoelastic tomographybrady hot springsnevadanvobservation wellsilixa xt

WHOLESCALE: Seismic Waveform Data from San Emidio, Nevada 2022

Apr 05, 2022
15.32 kB
Publicly accessible
Included here is a link to seismic waveform data collected at San Emidio, Nevada in 2022. The seismic instruments used were provided by EarthScope Consortium through the EarthScope Primary Instrument Center at New Mexico Tech. Data collected are available here through EarthScope ...
Authors
Lord, N. et al University of Wisconsin Madison
geothermalenergywholescalesmartsolosan emidionevadadldraw dataearthscopeseismographgeophysicsseismicityearthquakemonitoringpumpingseismologyfdsneerepasscalsacseismic datawaveform

Reactive Transport Simulations of High-Tempertature Geologic Thermal Energy Storage (GeoTES) in Deep Saline Formations I/O Files

Dec 31, 2021
702.26 MB
Publicly accessible
Simulation input and output files, post-processed figures and excel tables, and tecplot layout files for generating figures. These simulations were run with TOUGHREACT V4.12 by Lawrence Berkeley National Laboratory in 2021. This work was completed as part of the geologic thermal e...
Authors
Spycher, N. and Doughty, C. Lawrence Berkeley National Laboratory
energytesgeotesthermal energy storagereactive transporttoughreactgeothermalsimulationmodelinghigh-temperatureinput filesoutput filesdeep saline formationshigh tempgeologicrtesinputoutput

GeoDAWN Northwestern Elko County Nevada EarthMRI Data

May 15, 2023
270.41 kB
Publicly accessible
This submission includes both the original product resolution (OPR) and LiDAR point cloud (LPC) LiDAR data collected as part of GeoDAWN: Geoscience Data Acquisition for Northwestern Elko County, Nevada. The USGS Earth Mapping Resources Initiative (EarthMRI) and USGS 3D Elevation ...
Authors
National Geospatial Program, U. United States Geological Survey
geothermalenergygeodawnnevadaelkolidarremote sensing3deppoint cloudearthmriexplorationprocessed dataoprlpcmappingtifflazgreat basinwalker lanegeospatial datageotiffraster datagroundwater

Utah FORGE 3-2417: DAS Microseismic Event Catalog from the 16A/16B Circulation Test, 2023

Jun 12, 2024
2.41 MB
Publicly accessible
This preliminary data archive includes the relocated microseismic event catalog, 1D velocity model, and methods report from DAS acquisition conducted during the Well 16A and 16B circulation test (July 19th and 20th, 2023) at Utah FORGE. The methods report describes all processing ...
Authors
Vera Rodriguez, I. et al Rice University
geothermalenergyforgeutah forgeegsenhanced geothermaldasdistributed acoustic sensingmicroseismicevent catalogevent detectionfogmoreinversiongeophysicsreal-time16a16bcirculation testconnectivitymethodsrelocationhierarchical clusteringprocessed data

GeoDAWN West Central Nevada EarthMRI Data

May 15, 2023
842.33 kB
Publicly accessible
This submission includes both the original product resolution (OPR) and LiDAR point cloud (LPC) LiDAR data collected as part of GeoDAWN: Geoscience Data Acquisition for Western Nevada. The USGS Earth Mapping Resources Initiative (EarthMRI) and USGS 3D Elevation Program (3DEP), De...
Authors
National Geospatial Program, U. United States Geological Survey
geothermalenergygeodawnnevadawesternlidarremote sensing3deppoint cloudearthmriexplorationprocessed dataoprlpcmappingtifflazcaliforniagreat basinwalker lanegeospatial datageotiffraster data

Supercritical Drilling Materials Analysis: Drilling and Completion Materials Database

Sep 18, 2025
457.8 kB
Publicly accessible
This dataset compiles information on geothermal wells drilled into supercritical and near-supercritical conditions, with a focus on drilling and completion materials, fluid chemistry, and laboratory validation studies. The data are drawn from well reports, scientific literature, a...
Authors
Kibikas, W. et al Sandia National Laboratories
geothermalenergysupercritical geothermaldrilling materialscompletion materialsgeothermal wellsdrill bitscasingdrill stringslinerscementdrilling fluidslost circulation materialslcmfluid chemistrymaterial performanceliterature reviewcasing connections

Technical Report-Rare Earth Element Data Associated with Oil and Gas Reservoir Rock

Jul 01, 2017
4.49 MB
Publicly accessible
This work was developed to complement the geochemical assessments of produced water and geothermal water samples. Specifically, this task was designed to test the influence of reservoir rock-type and corresponding mineralogy/geochemistry on the concentrations of REE found in oil a...
Authors
McLaughlin, J. et al University of Wyoming
geothermalenergyrare earth elementproduced watersreecoproducedresourcesgeochemicalisotope concentrationgeochemistryoil and gasconcentrationgeologyrock chemistrygeologicinfluenceminerologybrine study

Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

Apr 15, 2022
113.79 MB
Publicly accessible
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...
Authors
Jin, W. et al Idaho National Laboratory
reservoir thermal energy storagestochastic simulationgeotesmachine learningmodelingtesht-rtescharacterizationnumerical modelstochastichydrogeologic formationsimulated datasimulation datahigh-temperaturethermal energy storageoptimizationartificial neural network regressionannneural networkoperation scenariosseasonal-cyclepareto frontsseasonal operationcontinuous operationfalconmoose

Energyshed: University of Vermont Dashboard and Simulation Code V2

Oct 29, 2025
73.63 MB
Awaiting release
This dataset contains (updated) preliminary code for the Energyshed project at University of Vermont. The data includes code for the community dashboard tool (website) and the modeling and co-simulation tools. This code is intended to supplement the Continuation Application and re...
Authors
Hamilton, D. et al University of Vermont
geothermalenergyenergysheduniversity of vermontuvmcoderpythonwebsitedashboardsoftwareceiimodelingco-simulationlocal generationlocal consumptionplace-based energy production

GLADE Project: Daily Drilling Reports

Aug 28, 2026
41.37 MB
Publicly accessible
Files include daily operational and drilling reports for GLADE East and GLADE West wells in the DJ Basin of Colorado. Reports include drilling summaries for work done and progress made daily for each well. There is a companion Final Drilling Report that summarizes some of the data...
Authors
Rhodes, R. OXY USA Inc.
geothermalenergygladedj basincolorado geothermaldrilling

Utah FORGE: Microseismic Monitoring Geophone Data from Well 78-32

Mar 18, 2020
4.64 MB
Publicly accessible
This submission includes geophone data collected by Schlumberger from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. The data are hosted by the Center for High Performance Computing (CHPC) at the University of Utah, and a script for dow...
Authors
Pankow, K. University of Utah
geothermalenergyutah forgeforgeutahgeophone78-32raw datageophysicsmicroseismicitystimulationegsseismicmonitoringseismicitydrilling

Energyshed: University of Vermont Dashboard and Simulation Code V1

Apr 27, 2025
47.97 MB
Awaiting release
This dataset contains the preliminary code for the Energyshed project at University of Vermont. The data includes code for the community dashboard tool (website) and the modeling and co-simulation tools. This code is intended to supplement the Continuation Application and reports ...
Authors
Hamilton, D. et al University of Vermont
geothermalenergyenergysheduniversity of vermontuvmcoderpythonwebsitedashboardsoftwarecritical energy infrastructure informationceiimodelingco-simulationplaced-based energy productionlocal generationlocal consumption

Utah FORGE 3-2417: DAS Microseismic Event and MT Catalog from the 16A/16B Circulation Test [Final, Relocated], 2023

May 19, 2025
1.34 MB
Publicly accessible
This data archive includes the relocated microseismic event catalog from distributed acoustic sensing (DAS) acquisition conducted during the 16A-16B circulation tests that took place in July 2023. These results update the catalog presented in GDR 1613 (the preliminary catalog, lin...
Authors
Vera Rodriguez, I. et al Rice University
geothermalenergyutah forgedasmicroseismicegsenhanced geothermalevent catalog16a16bcirculationcirculation testinversionseismic eventsevent detectionmtdistributed acoustic sensingprocessed datamicroseismic event catalogmeqfogmore

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

WHOLESCALE Catalog of Rock Samples at San Emidio Nevada collected in January 2021

Jan 12, 2021
857.7 MB
Publicly accessible
This submission contains information on thirty-six rock samples collected from San Emidio, Nevada during January, 2021 for Subtask 2.3 of the WHOLESCALE project. The following resources include a .zip of rock sample photos taken in the field, a .zip of rock sample photos taken in ...
Authors
Kleich, S. et al University of Wisconsin Madison
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalsan emidionevadarock samplesfieldsamplessamplerock samplegeologyimagesphotoscore samples

Altona Field Lab Inverse Model WRR 2020

Jan 01, 2015
51.98 kB
Publicly accessible
Includes data for measured inert tracer breakthrough curves first reported in Hawkins (2020) (Water Resources Research). In addition, this submission includes the production well temperature measurements first reported in Hawkins et al. (2017a) (Water Resources Research, volume 53...
Authors
Tester, J. Cornell University
geothermalenergyaltona field laboratorytemperaturenanoparticlesc-dotsinert tracertracerraw datadisplacementboreholeinjection testdistributed acoustic sensingdistributed hydraulic sensinggeologyfracturedbedrockmatlabaltona field labbreakthrough curve

Triggered MEQ Events on LBNL Permanent Seismic Array, Brady's EGS, March 2016

Jun 01, 2016
83.98 kB
Publicly accessible
List of triggered events recorded on LBNL's permanent EGS seismic array at Brady's geothermal field. This submission also includes links to the NCEDC EGS Earthquake Catalog Search page and to the metadata for the seismic array installed at Brady's Geothermal Field.
Authors
Robertson, M. University of Wisconsin
geothermalporotomoegsseismic monitoringseismic networkseismicitymicroseismicityinduced seismicitymeqbradybradys geothermal fieldbradys hot springsearthquake catalogearthquakestimulationgeophysicsgeophysicalseismic

Utah FORGE 3-2417: Simulation Meshes and Results from Extended Circulation and Pulse Interference Testing

Sep 05, 2025
6.17 MB
Publicly accessible
This dataset contains numerical simulation meshes and modeling results from extended circulation and pulse interference tests conducted between Utah FORGE wells 16A(78)-32 and 16B(78)-32. The simulations were performed as part of the FOGMORE Utah FORGE project (Fiber Optic MOnitor...
Authors
Lee, S. and Ghassemi, A. Rice University
geothermalenergyutah forgeegsfogmoresimulationmeshreservoir modelingextended circulation testpulse interference testnumerical simulationmesh datapressure distributiontemperature distributionpermeability modelingstress-dependent permeabilitydiscrete fracture networkdfnfiber optic monitoring16a78-3216b78-32paraviewmodelmodel filesmodel results
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