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 - 19 of 19.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"Kirchhoff Pre Stack"×
Website×

Analyzed Boise Data for Oscillatory Hydraulic Tomography

Jul 01, 2015
4.76 MB
Publicly accessible
Data here has been "pre-processed" and "analyzed" from the raw data submitted to the GDR previously (raw data files found at http://gdr.openei.org/submissions/479. doi:10.15121/1176944 after 30 September 2017). First, we submit .mat files which are the "pre-processed" data (must h...
Authors
Lim, D. University of Wisconsin
geothermaloscillatory pumpingboisehydraulic tomographyfourier analysisidahoporotomobhrsanalyzedmatlabhydrogeophysicalpressure datapressurewell testwellhydrologyoscillatory flowaquifer characterizationreservoir characterizationpressure testfouriercoefficientsprocessed datapre-processed data

Utah FORGE: 2D and 3D Seismic Data

Mar 16, 2018
127.26 GB
Publicly accessible
This set of data contains raw and Initially-processed 2D and 3D seismic data from the Utah FORGE study area near Roosevelt Hot Springs. Reprocessed versions of these data can be accessed at the linked submission in the Resources section titled "Reprocessed Seismic Reflection Data....
Authors
Miller, J. Energy and Geoscience Institute at the University of Utah
geothermalenergyseismicseismic datautahutah forgeforgeroosevelt hot springs3d seismic data2d seismic dataseg-ycorrelateduncorrelatedgeophysicsactive sourcerawprocesseddataraw dataprocessed datavelocityegsmilford

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 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events

Jan 21, 2025
971.63 kB
Publicly accessible
This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting events from the borehole seismic sensors. To be effective once deployed, the process ...
Authors
Williams, J. et al Global Technology Connection, Inc.
geothermalenergyutah forgedata processingmachine learninginduced seismicitytechnical reportevent detectionmlartificial intelligenceaireal-timephysics informedrecurrent neural networksborehole seismicseismic datamicroseismicevent catalogmagnitude-frequency distributiongeophysicsegs

EGS Collab Experiment 1: In-situ observation of pre-, co and post-seismic shear slip preceding hydraulic fracturing

May 22, 2018
136.27 MB
Publicly accessible
Understanding the initiation and arrest of earthquakes is one of the long-standing challenges of seismology. Here we report on direct observations of borehole displacement by a meter-sized shear rupture induced by pressurization of metamorphic rock at 1.5 km depth. We observed the...
Authors
Guglielmi, Y. et al Lawrence Berkeley National Laboratory
geothermalenergyegsegs collabsurfsanford underground research facilityseismicinjection teststimulationslip vectorshearaxialdisplacementpressureborehole displacementdeformationsimfipprobeboreholee1-ipre-slipco-seismicslippost-seismicaftersliphydraulicfracturingin-situ

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

Hydroshear Simulation Lab Test 2, Additional Data Sheets

Aug 01, 2014
25.54 MB
Publicly accessible
This file contains additional data for this test (hydroshear test 3.2). In this test a sample of granite with a pre-cut (man made fracture) is confined, heated and differential stress is applied. The max temperature in this this system development test is 95C. More test details ca...
Authors
Bauer, S. Sandia National Laboratories
geothermalhydrosheargraniteprecut fracturefracture simulationlab testhydroshearraw data

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

Hydroshear Simulation Lab Test 3.2

Aug 01, 2014
5.88 MB
Publicly accessible
This data file is for the hydroshear simulation lab test 3.2. The two previous hydroshear simulation lab tests are linked in the resources section as GDR submissions. In this test a sample of granite with a pre-cut (man made fracture) is confined, heated and differential stress is...
Authors
Bauer, S. Sandia National Laboratories
geothermalhydroshearstimulationgranitelab testprecut fracturegeophysicsshearshear testinghydroshear testingdifferential stresssimulationfractureegs

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

EGS Collab Experiment 1: Common Discrete Fracture Network

Sep 18, 2019
5.69 MB
Publicly accessible
This package includes data and models that support hydraulic fracture stimulation and fluid circulation experiments in the Sanford Underground Research Facility (SURF). A paper by Schwering et al. (2020) describes the deterministic basis for developing a "common" discrete fracture...
Authors
Schwering, P. et al Sandia National Laboratories
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsgeophysicsfracturenetworkdiscrete fracture networkdfnfluidflowmodeldatafluid circulationboreholeweepcoresystemenhanced geothermal systemsandia national laboratorieselectrical resistivitywellinjection testtracerdrilling

Raw Pressure Data from Boise Hydrogeophysical Research Site (BHRS)

Jul 17, 2013
271.6 MB
Publicly accessible
Pressure data from a phreatic aquifer was collected in the summer of 2013 during Multi-frequency Oscillatory Hydraulic Tomography pumping tests. All tests were performed at the Boise Hydrogeophysical Research Site. The data will be inverted using a fast steady-periodic adjoint-bas...
Authors
Lim, D. University of Wisconsin
geothermaltomographyhydrologypressureboiseoscillatory flowaquifer characterizationwellsporotomopressure testwell testraw databhrshydrogeophysicalpressure datawellreservoir characterizationidaho

Utah FORGE 3-2417: Low Frequency Distributed Acoustic Sensing Data from 16A/16B Stimulation April, 2024

Jul 23, 2025
37.13 GB
Publicly accessible
This dataset contains processed low-frequency Distributed Acoustic Sensing (LF-DAS) data collected between April 2 and April 12, 2024, during the Utah FORGE stimulation sequence involving wells 16A and 16B. The DAS measurements were acquired using a Silixa Carina interrogator unit...
Authors
Zhu, R. et al Rice University
geothermalenergyutah forgeegsenhanced geothermal systemsdistributed acoustic sensingdaslow-frequency dasfiber optic sensingsilixa carinafogmorewell 16bstimulationnanostraindfostime-series dataprocessed datasubsurface monitoringseismiclf-dasgeophysics

2016 Passive Seismic Imaging of the Dixie Valley Geothermal Well Field for EGS Favorability and Fault Mapping

Nov 01, 2015
343.78 MB
Publicly accessible
This submission provides reports on the results of seismic data analyses, statistical data sets of rock properties under the DVGWF, GIS data for new maps of EGS favorability, and a link to raw seismogram data archived by the IRIS-DMS.
Authors
Louie, J. et al University of Nevada, Reno
geothermalenergydixie valleynevadapassiveseismicreflectionegsfaultfavorabilitygeospatial dataarcgisgispsdcwtcdpgeophysicsgeophysicalinterferometryambient noisetechnical reportreportseismogramraw

Imperial Valley Dark Fiber Project (IVDF): Brawley EQ Cluster Catalog and DAS Event Dataset

Apr 08, 2026
4.13 GB
Publicly accessible
The Imperial Valley Dark Fiber (IVDF) project deployed a distributed acoustic sensing (DAS) interrogator on a pre-existing dark fiber cable running ~28 km between Calipatria and Imperial, California, passing through the Brawley Geothermal Field and surrounding Brawley Seismic Zone...
Authors
Ajo-Franklin, J. et al Rice University
geothermalenergydasdistributed acoustic sensingfiber optic sensingbrawley seismic zonesalton seaimperial valleybrawley fieldearthquakeseismicityevent cataloghdf5southern california seismic networkscsnwaveform recordingsswarmraw dataprocessed datageophysics

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: Well 58-32 Stimulation Conference Paper and Data

Apr 24, 2019
1.8 MB
Publicly accessible
The U.S. Department of Energy's (U.S. DOE) Frontier Observatory for Research in Geothermal Energy (FORGE) is a field laboratory that provides a unique opportunity to develop and test new technologies for characterizing, creating and sustaining Enhanced Geothermal Systems (EGS) in ...
Authors
Best, S. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeopen hole stimulationwell 58-32 stimulationwell 58-32utah geothermalgrgegsdisccrete fracture flowreservoir stimulationstimulationhydraulic fracturingphase 2cforgepressureflowbackratetemperaturehydraulicflowutahopen-holemilfordroosevelt hot springspre-processedupper perforationlower perforationmicroseismicitydasdistributed acoustic sensinggeophysics

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
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