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 - 21 of 21.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"seismicity"×
Processed Data×

Utah FORGE: UGS Interactive Geoscience Map

Jan 01, 2021
Size unavailable
Publicly accessible
This is a link to the Utah Geological Survey's Utah FORGE Interactive Geoscience Map. The map layers include information on geology, geography, subsurface temperatures, seismicity, gravity and groundwater. Instructions for using the interactive map and a legend for the interactive...
Authors
Hill, J. Utah Geological Survey
geothermalenergyutah forgeinteractive mapgeology mapgravity maptemperature mapseismicity mapgroundwater mapugs mapsutah geological survey mapsutah forge mapsmapgeologyseismiclstgroundwaterhydrologyugsutahforgeinteractivegravityprocessed datageospatial datawater table depthgroundwater chemistrywellfaultwell temperaturetemperaturebedrockbedrock surfacebeddingfoliationcontactgeographycharcterizationegsmilfordroosevelt hot springsenhance geothermal systemengineered geothermal system

Utah FORGE: Updated Seismic Event Catalogue from the April, 2022 Stimulation of Well 16A(78)-32

Nov 09, 2022
720.12 kB
Publicly accessible
These are revised catalogs, related to the April, 2022 well 16A(78)-32 stimulation (phases 1,2, & 3), provided by Geo Energie Suisse (GES) that include additional events at the start of Stage 1 and some tidying up of some locations. These catalogs also include events for additiona...
Authors
Dyer, B. et al University of Utah Seismograph Stations
geothermalwell 16a78-32well 16a78-32 stimulationseismic dataseismicity datawell 16a78-32 seimicitywell 16a78-32 stimulation seismicitywell 16a78-32 stimulation seismicutah forgeutah forge seismic datagesstimulationexcelprocessed dataforgeegsb-valuewell datacharacterizationp-waves-wave

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: Earthquake Catalog

Mar 21, 2018
66.71 kB
Publicly accessible
This is the set of earthquake catalogs developed for the Utah FORGE project covering December of 2016 through March of 2018. These are discussed in the "Utah FORGE Phase 2B Final Topical Report," which can be found on GDR under id: 1038 (See link 'Final Topical Report' in resource...
Authors
Pankow, K. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forge seismicityseismicityearthquakeearthquakesgeospatial dataearthquake catalogsutah forge earthquake catalogsutahutah forgeutah forge 2broosevelt hot springsmilfordforgephase 2bmicroseismicitymonitoringseismicmicroseismicegsprocessed datareportcatalogresourcecharacterization

Utah FORGE: Laboratory Fault Reactivation and Permeability Evolution During Fluid Injection

Sep 15, 2025
182.35 GB
Publicly accessible
This dataset contains results from controlled shear reactivation experiments performed on cylindrical Westerly and granitoid granite samples with a single inclined fracture. Laboratory faults were pre-loaded near failure and reactivated by fluid injection to examine relationships ...
Authors
Elsworth, D. et al Pennsylvania State University
geothermalenergyinduced seismicityutah forgewesterly granitegranitoidpermeabilityshear stimulationegsfault reactivationfluid injectionpermeability evolutionseismicityacoustic emissionssingle inclined fractureshear stresspore pressuretriaxial testingmechanical datageomechanicsraw dataprocessed dataacoustic data

Utah FORGE 6-3712: Curated and Fused 2022 and 2024 Stimulation Injection Datasets and Processing Report February 2026

Feb 25, 2026
155 MB
Publicly accessible
This submission contains curated injection parameter datasets from the 2022 and 2024 stimulation experiments conducted at the Utah FORGE site, along with the report documenting the data processing workflow. The datasets were developed as part of Project 6-3712: Probabilistic Estim...
Authors
Williams, J. et al Global Technology Connection, Inc.
geothermalenergyinduced seismicityinjection parametersdatasetstimulationutah forgeegsstimulation experimentinjection datatreating pressureslurry rateclean ratecumulative injected volumeinflow rateflowbacktime-series dataprocessed datahydraulic stimulationfeomechanics

Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

May 05, 2021
11.59 GB
Publicly accessible
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Authors
Zhu, T. Pennsylvania State University
geothermalenergycodedeep learningmachine learningaiartificial intelligenceegsenhanced geothermal systemsengineered geothermal systemsnewberryoregonnewberry volcanomlraw dataprocessed datamicroseismicitynumpywaveformpreprocessedpythonnewberry volcanic sitemicroearthquakemeqseismicgeophysicsgeophysical

Utah FORGE 3-2535: Report on Geodetic Observations of Fracture Development During April 2024 Stimulations

Apr 28, 2025
1.29 MB
Publicly accessible
This report presents geodetic observations from the April 2024 stimulations at the Utah FORGE site, as part of LBNL FORGE Project 3-2535. It focuses on Distributed Strain Sensing (DSS) data from an optical fiber in well 16B, capturing localized strain linked to fracture propagatio...
Authors
Vasco, D. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsdistributed strain sensingdssfiber-optic sensingmicroseismicityfracture stimulationgeodetic monitoringinsarsubsurface deformationhydraulic fracturingseismicityfracture modelingreservoir characterizationtechnical reportprocessed dataapril 2024stimulation

Utah FORGE: Microseismic Events

Jul 08, 2019
262.54 kB
Publicly accessible
This archive contains Excel spreadsheets containing microseismic events detected in the study area during Utah FORGE Phase 2C. The Readme file included that describes the meaning of the abbreviations used as field headers in the spreadsheets. Additionally, there is a .dat (text) f...
Authors
Rutledge, J. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeutah forge phase 2cutahmicroseismic eventsegsfracturereservoirstimulationmicroseismicityseismicitystressmilfordinjectionfrature networkhypocentersspectralmicroearthquakesforgephase 2croosevelt hot springsprocessed data

Utah FORGE: Stress Ratio Dependence of Ultrasonic Anisotropy in Well 16B(78)-32 Core

Apr 07, 2025
22.48 MB
Publicly accessible
This dataset contains high-pressure ultrasonic measurements on a foliated granitoid core from Well 16B(78)-32 at the Utah FORGE site. Ultrasonic P-waves and two orthogonal S-waves were measured concurrently parallel and perpendicular to the rock fabric. All measurements were mad...
Authors
Lisabeth, H. and Savage, H. Lawrence Berkeley National Laboratory
geothermalenergygeomechanicsanisotropyutah forgeegsultrasonic velocityseismic anisotropystress ratiohigh-pressurep-waves-wavethomsen parametersmicrofracturesfoliated granitoidconfining pressureucsccore analysisraw dataprocessed datavisualizationsrock mechanicsgeophysics

Hybrid machine learning model to predict 3D in-situ permeability evolution

Nov 22, 2022
5.58 MB
Publicly accessible
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Authors
Elsworth, D. and Marone, C. Pennsylvania State University
geothermalenergyegsnewberryhydraulicstimulationprocessed datamachine learningpermeability evolutionhydraulic fracturinginduced seismicityegs collabseismic data analysiswellhead pressureflow ratefracture permeabilitymicroearthquakeenhanced geothermal systems

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

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

Utah FORGE: High-Resolution DAS Microseismic Data from Well 78-32

Oct 20, 2019
7.42 MB
Publicly accessible
This regards a high-resolution DAS microseismic dataset produced by Silixa from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. It is a very large dataset and as such it is currently not directly available on GDR. However, it is availabl...
Authors
Martin, T. and Nash, G. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeforgeutah geothermalmicroseismic datasilixa microseismic datawell 78-32 microseismic datawell 58-32 stimulation seismicityforge phase 2csilixawell 58-32well 78-32utahmilfordroosevelt hot springssegyseg-ydasdistributed acoustic sensingdxsmicroseismicitydasvmonitoringwell locationwell datadtsdistributed temperature sensingprocessed datageophysicsstimulationraw data

Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)

Feb 08, 2023
6.91 MB
Publicly accessible
Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy. Objective and Purpose: Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS sys...
Authors
Norbeck, J. et al Fervo Energy
geothermalenergyutah forgeplug-and-perf stimulationwell stimulationfervo energyplug-and-perfplug and perffervotechnicalassessmentfeasibilityhydraulicstimulationinjection testprocessed datablue mountainnevadaegswell 73-22well 34a-22well 34-22near-field egshorizontal drillingproppantheat in placestate of stressfiber optic sensing

Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

May 14, 2021
6.01 MB
Publicly accessible
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Authors
Marone, C. et al Pennsylvania State University
geothermalenergymatlabgeophysicsseismiccodeprocessed datamicroseismicityaiartificial intelligencedeep learningmachine learningacousticsacoustic emissionsseismic forcastingseismic predictionfaultfault propertiesshear stresstime to failureexperimentexperimental datalab databiaxial shear experimentbiaxial shear apparatusfriction

Cape EGS: Seismic Attenuation Profile and DAS Microseismic P-wave Spectra

Mar 17, 2026
15.25 GB
Publicly accessible
This dataset contains a 1D P-wave attenuation (Q) profile, distributed acoustic sensing (DAS) microseismic P-wave spectra, and derived source parameters from the Delano 1OB well at the Cape Modern geothermal field. The data were collected during a stimulation period from mid-Febru...
Authors
Chang, H. et al Lamont Doherty Earth Observatory
geothermalenergydasfiber-opticattenuationmicroseismicityp-wavesource parametersstress dropcapeforgeqspectraseismicegscape modernutah forgedistributed acoustic sensingp-wave attenuationquality factorbrune modelcorner frequencyseismic momentmoment magnitudewell logsdownhole measurementsraw dataprocessed datageomechanicsgeophysics

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: Fluid Injection-Rate Controls on Seismic Moment from Laboratory Fault Reactivation Experiments

Sep 16, 2025
5.43 GB
Publicly accessible
This dataset contains experimental and acoustic data from shear reactivation tests that investigate the relationship between fluid-injection rate, pore pressure distribution, and seismic moment during laboratory fault slip. It includes raw mechanical data and acoustic emission rec...
Authors
Elsworth, D. et al Pennsylvania State University
geothermalenergyinduced seismicityegsgeomechanicsutah forgegranitoidlaboratory experimentsfault reactivationshear slipfluid injectioninjection ratepore pressurepore pressure distributionseismic momentacoustic emissionspermeabilitytriaxial testingshear stressaxial displacementpressure vesselmechinical datatime-series dataraw dataprocessed datamatlab

Sentinel-1 Input Data for PSInSAR Analysis

Apr 29, 2021
305.43 GB
Publicly accessible
Files used to perform the Persistent Scatterer InSAR analysis with SARPROZ. The data is sourced from ESAs Sentinel-1 project and covers Brady Hot Springs and Desert Peak geothermal areas. The original titles are included for the Sentinel-1 data. The naming guide is included as a l...
Authors
Moraga, J. Colorado School of Mines
geothermalenergyinsarpsinsarsentinel-1synthetic aperture radarsatellite imagingaiartificial intelligencedeep learningmachine learningaerial photographyremote sensingsite detectionanomaly detectioninput datageologydisplacementsubsoilphenomenaprocessed dataradarimaginginterferometricanalysissoil deformationgeospatial 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