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 - 11 of 11.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"physics-informed"×
Seismic×

Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2024 Annual Workshop Presentation

Sep 17, 2024
52.7 MB
Publicly accessible
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to estimate...
Authors
Williams, J. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgemachine learningmulti frequencystimulation-induced seismicityseismicityseismicity predictorstimulationpredictive systemsdeep learningdlmagnitude-frequency distributionseismicegsvideopresentation

Utah FORGE 5-2419: Final Report and Presentation on Seismicity Permeability Relationships Probed via Nonlinear Acoustic Imaging

Sep 30, 2025
254.88 MB
Publicly accessible
This submission contains the final technical report and closeout presentation for Utah FORGE Project 5-2419, which investigates the coupled evolution of permeability and induced seismicity in enhanced geothermal systems using laboratory experiments, field observations, and nonline...
Authors
Elsworth, D. Pennsylvania State University
geothermalenergyutah forgeegspermeabilityinduced seismicitylaboratory experimentsfield observationsnonlinear acoustic imagingfault reactivationreservoir rockmicroearthquakestimulationphysics informed modelingmachine learningseismic momentstress statepermeability creationseismic hazardtechnical reportgeomechanicsgeophysicsmicroseismicity

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

Utah FORGE 3-2535: Final Report on Joint Electromagnetic, Seismic, and InSAR Imaging of Fracture Growth During EGS Resource Development

May 30, 2025
2 MB
Publicly accessible
This dataset contains the final technical report for the project Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development, carried out from 2021 to 2025 by Lawrence Berkeley Natio...
Authors
Alumbaugh, D. Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsseismicelectromageneticgeodeticdistributed fiber-optic sensingdata acquisitiondata processingdata interpretationtechnical reportinsarfracture growthfracture propertiesgeophysicsgeomechanics

Utah FORGE 5-2557: Fluid and Temperature in Fracture Mechanics and Coupled THMC Processes 2025 Workshop Presentation

Sep 18, 2025
106.89 MB
Publicly accessible
This is a presentation on the Role of Fluid and Temperature in Fracture Mechanics and Coupled Thermo-Hydro-Mechanical-Chemical (THMC) Processes for Enhanced Geothermal Systems project by Purdue University, presented by Distinguished Professor of Physics & Astronomy, Dr. Laura J. P...
Authors
Pyrak-Nolte, L. Purdue University
geothermalenergyutah forgeegs2025 annual workshopfracture mechanicsthmcfluid-rock interactionsrate-and-statefrictioncoulomb failureseismicaseismicgeomechanicspresentationpresentation recordingpresentation slidesreport

Passive Seismic Emission Tomography Results at San Emidio Nevada

Dec 01, 2016
66.54 MB
Publicly accessible
The utility of passive seismic emission tomography for mapping geothermal permeability has been tested at San Emidio in Nevada. The San Emidio study area overlaps a geothermal field in production since 1987 and another resource to the south of the production field. Passive seismic...
Authors
Warren, I. et al Ormat Technologies, Inc.
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalgeospatial dataexcelp-wave velocity modelpassive seismicp-waveprocessed dataseismicvelocityhydrothermalsan emidiogeophysicspsetcharacteriztion

Seismic Survey 2016 Data at San Emidio Nevada

Jan 05, 2016
2.57 TB
Publicly accessible
Included here are seismic data recorded at the San Emidio Geothermal field in Nevada. This passive seismic data were collected as part of the DOE-funded Subsurface Technology and Engineering R&D (SubTER) project to advance imaging and characterization of geothermal permeability. ...
Authors
Lord, N. et al University of Wisconsin Madison
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalseismicseismicitydatametadatasurveynevadasegdmseedminiseedsan emidiohydrothermalcharacterizationgeophysicspassive seismic

Seismic Survey 2016 Metadata at San Emidio, Nevada

Dec 05, 2016
54.86 MB
Publicly accessible
1301 Vertical Component seismic instruments were deployed at San Emidio Geothermal field in Nevada in December 2016. The first record starts at 2016-12-05T02:00:00.000000Z (UTC) and the last record ends at 2016-12-11T14:00:59.998000Z (UTC). Data are stored in individual files in o...
Authors
Lord, N. et al University of Wisconsin
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalseismicseismicitydatametadatasurveynevadareporttechnical specificationintrumentationspecsspecspecifications

PoroTomo: Horizontal Distributed Acoustic Sensing (DAS) Measurements During an M 2.3 Explosion

Dec 18, 2018
198.67 GB
Publicly accessible
Included here are Distributed Acoustic Sensing (DAS) data collected by the horizontal DAS array at Brady's Hot Springs Geothermal Field. The system recorded this data during an M 2.3 explosion at the Nevada Test Site (NTS), which is located approximately 400km southeast of the fie...
Authors
Kratt, C. et al Center for Transformative Environmental Monitoring Programs (CTEMPs)
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicaldasbradys hot springsdtsporotomoseismicgeophysicsdas datasgyseg-ydistributed acoustic sensingdistributed temperature sensinghydrothermaltrenchedsurface sensorsseismicityraw data

Snake River Plain FORGE: Site Characterization Data

Apr 18, 2016
632.32 MB
Publicly accessible
The site characterization data used to develop the conceptual geologic model for the Snake River Plain site in Idaho, as part of phase 1 of the Frontier Observatory for Research in Geothermal Energy (FORGE) initiative. This collection includes data on seismic events, groundwater,...
Authors
Moos, D. and Barton, C. Idaho National Laboratory
geothermalforgeegssrgcsnake river plainidahosite characterizationsite datageologic modelgeomechanical modelwell datatempsupplementaladdendum3d modelrock physicsinel-1wo-2usgs-142websiteeventsinformationblogdatacollectionpaperstressinel sitestrian ratesdeformationanalyticalmodelinlseismicmonitoringannual reportmapseismic modelinggeologichistorysettingsublithosphericneogeneyellowstoneheisepicabovolcanicfieldvoncanicgravityheat flowcalderavolcanismmantle plumeoceanic hotspotmagmatismgrraesrpeastern snake river plainbasinpotentialsiteextensionsubsidencepaleoseismologyextensional structuresintrusiontectonic faultsgeomechanicalcharacterizationheheliumisotopeisotopic evidenceundiscoveredgeothermal systemserspaquiferthermal watermodelingthermalgeochemicalanomaliesconceptual modelwellboregroundwatertemperaturedistributionwell headstdtarget depthlocationcoordinateselevationresidualisostaticmagneticusgsmagneticsnrmeasternmtinversionlong-periodphase 1resistivityelectricalsoundinggeoelectricsectionrefraction surveyteleseismicreceiverprofilingrefractionray trace3dvolcanicspaleozoicrhyoliticpetreljewelsuitefold hingessnapshotsrpsrgmagnetotellurics

WHOLESCALE: Seismic Survey Metadata from San Emidio Nevada 2021

Apr 06, 2021
25.39 MB
Publicly accessible
This is a collection of metadata from the 2021 seismic survey at the San Emidio geothermal field in Nevada. In April and May 2021, 37 tri-axial short period seismographs were deployed in a 1.8km diameter cluster centered on 40.367278 deg N, 119.409019 deg W. The first data record...
Authors
Lord, N. et al Department of Geoscience University of Wisconsin-Madison
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalseismicseismicitydatametadatasurveynevadasmartsolodatacubedldsacsan emidiogeophysicssurvey designpythondata processingpumping
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