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
"distribution"×
Seismic×

Utah FORGE: 2022 Well Stimulation Seismicity Data Including SeGY Data

Apr 14, 2023
Size unavailable
Publicly accessible
This is a link to the Utah FORGE seismic data distribution site hosted by the University of Utah Seismograph Stations. The data was collected from downhole geophone strings in wells 56-32, 58-32 and 78B-32 during the 2022 stimulation of well 16A(78)-32. This dataset, which was upd...
Authors
Pankow, K. University of Utah Seismograph Stations
geothermalenergyutah forgewell stimulation seismic data16a78-32 stimulation seismic datageophone datawell 56-32 geophoneswell 58-32 geophoneswell 78b-32 geophonesseismicitysgy datasegy datastimulationwell 56-32well 58-32well 16a78-32well 78b-32raw dataprocessed 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

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: Source Imaging DAS-Based Seismic Event Catalog April 2024 Stimulation

Aug 26, 2025
140.41 kB
Publicly accessible
This catalog contains microseismic event locations recorded during the April 2024 stimulation at the Utah FORGE site. Events were detected and located using a DAS-specific source imaging workflow that avoids conventional phase picking. Instead, STA/LTA-transformed DAS and downhole...
Authors
Dvory, N. et al The University Of Utah
geothermalenergyforgeutahmicroseismic event locationsutah forgeuniversity of utahseismicaimachine learningdata-driven decisionscommunity safteyinfrastructure protectionproactive risk mitigationimproved safteyimmediate responsestimulationfracingground motionseismic hazardsegsevent catalogmlprocessed datareservoir characterizationapril 2024 stimulation

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: Microseismic Surface Network Catalogs for Wells 16A(78)-32 and 16B(78)-32 Stimulation 2022 and Circulation 2023

Feb 09, 2024
32.36 kB
Publicly accessible
This dataset includes microseismic surface network catalogs for Utah FORGE. Data were recorded during the stimulation of well 16A(78)-32 in 2022 and the circulation tests between wells 16A(78)-32 and 16B(78)-32 in 2023. Near-surface seismic monitoring during circulation experimen...
Authors
Niemz, P. et al University of Utah Seismograph Stations
geothermalenergyutah forgewell 16a78-32well 16b78-3216a16bmicroseismic datamicroseismiccirculation testcirculationstimulationfracingroosevelt hot springseismic dataseismicegsmicroseismic eventscataloggeophysics

Fallon FORGE: Geophysics and Geochemistry

May 23, 2016
257.08 MB
Publicly accessible
The data is associated to the Fallon FORGE project and includes mudlogs for all wells used to characterize the subsurface, as wells as gravity, magnetotelluric, earthquake seismicity, and temperature data from the Navy GPO and Ormat. Also included are geologic maps from the USGS a...
Authors
Blankenship, D. Sandia National Laboratories
geothermalegsfallonforgecarson sinkbasin and rangetemperaturelidargravitygeochemistryseismicnevadaaeromagcarson sink gravitygeochemistycomplete bougergravity gradientrelative gravitytopographic surveyinggeophysicalgeophysicsseismic profilesmud logwell logchurchill countyacquisition reportbouger anomalyfallon forgewelllog

Directional Cooling-Induced Fracturing Westerly Granite Test Results

Dec 18, 2020
72.48 MB
Publicly accessible
Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on a short, cylindrical sample of Westerly granite (diameter = 4 inches, height ~ 2 inches). Liquid nitrogen was poured in a copper cup attached to the top of the sample, and the resulting acoustic emissions ...
Authors
Nakagawa, S. Lawrence Berkeley National Laboratory
geothermalthermal crackingacoustic emissionstemperature changeslaboratory experimentwesterly granitegranitemoment tensorfractureseismicgeophysicsliquid nitrogenthermaltemperaturestimulationdirectional coolinginduced fracturingdirectional cooling-induced fracturingwellborestressvelocitytomographymicrocracking

Source Code for QuakeCastNet: Probabilistic Multi-Horizon Spatiotemporal Forecasting of Injection-Induced Seismicity

Sep 20, 2026
16.21 MB
Curated
This submission houses the companion code for the manuscript by Zhengfa Bi (Lawrence Berkeley National Laboratory) and Nori Nakata (Lawrence Berkeley National Laboratory; MIT). Both the companion code and manuscript are included in the resources section of this submission. Fluid ...
Authors
Nakata, N. and Bi, Z. Lawrence Berkeley National Laboratory
geothermalenergyutah forgeseismicitydeep learningthe geysersforecastegsinduced seismicityseismicity forecasting

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

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
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