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 106.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"deep resource wells"×
Stimulation and Microseismicity×

Utah FORGE: Deep Wells Water and Gas Sampling with Analyses by ThermoChem (October, 2022)

Oct 26, 2022
2.22 MB
Publicly accessible
This data includes a document that describes the effort to collect and analyze water and gas samples from deep Utah FORGE wells 16A(78)-32, 58-32, 56-32 and 78B-32 along with additional pdf files showing ThermoChem's analyses attached as an appendix.
Authors
Joness, C. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewater and gas chemistryutah forge water and gas geochemistrygas chemistryutah forge gas chemistrywater chemistryutah forge water chemistrywell 16a78-32well 58-32well 56-32well 78b-32well datagroundwater and hydrologyprocessed dataforgeegschemistryfluidproduced waterstimulationmonitoringwater reportncgncg reportnon-condensable gashydrocarbon report

EGS Collab Experiment 1: Core Logs

Apr 02, 2019
45.54 GB
Publicly accessible
Core logs from the EGS Collab project Experiment 1 for the stimulation (Injection) well (E1-I), the Production well (E1-P), and monitoring wells (E1-OT, E1-OB, E1-PST, E1-PSB, E1-PDT, and E1-PDB) on the 4850 Level of SURF (the Sanford Underground Research Facility), single PDF fil...
Authors
Dobson, P. et al Lawrence Berkeley National Laboratory
geothermalenergycoreboreholepoormansurfegscollabfracturese1-iinjection wellexperiment 1e1-pste1-obe1-pe1-ote1-psbe1-pdtlogsphotose1-pdbstimulationwellinjectionhydraulicmonitoringlogsamplefoliationfoldingfracturingfracturefoldfeatureshomestakesigma-v

Utah FORGE 2-2404: Determination of Reservoir-Scale Stress State Presentation Slides

Jul 31, 2022
4.56 MB
Publicly accessible
This PowerPoint summarizes the integration of multiple approaches and data to constrain wellbore stress models at Utah FORGE. This stress determination used faulting theory, breakouts, and drilling-induced cracks detected in image logs. Wellbore stress profiles were established f...
Authors
Ghassemi, A. et al The University of Oklahoma
geothermalenergyfracture mechanicsfocal mechanismanelastic strain recoverydfitwellborestress characterizationstress modelin-situ stresspresentationslidesinduced seismicityreservoir stressutah forgeegsimage logsfaulting theorybreakoutsdrilling-induced cracks

Fault Information and Seismicity for the Portland Basin Deep Direct-Use Feasibility Study

Dec 04, 2018
62.49 MB
Publicly accessible
Included in this dataset is a spreadsheet with the primary fault information used in the basin model, a spreadsheet with earthquake magnitude estimates, and a figure showing location of faults and microseismicity in the Portland Basin
Authors
Streig, A. and Wells, R. Portland State University
geothermalenergyddudeep direct-usethermal energy storageddu-tesseismicityearthquakefaultstructural geologymagnitudeeventmicroseismicityportlandbasinoregonormodelfeasibilityoatfield faulteast bank faultgales creek faultmount angel faultnewberg faultfrontal faultbolton faultcanby-molalla faulthelvetia faultbeaverton faultsherwood faultdip directiondip anglefault length

Utah FORGE: Focal Mechanism Catalog from Stage 3 of the April 2022 Stimulation Test

Sep 15, 2025
107.98 kB
Publicly accessible
This submission includes focal-mechanism solutions derived from the Utah FORGE April 2022 Stage-3 stimulation. Waveforms were extracted around each event (short windows bracketing origin times) from the downhole three-component arrays in wells 58-32, 78-32, and 56-32 and the surfa...
Authors
Mohammadi, A. et al Texas A and M University
geothermalenergyforgeutah forgeegsmilfordutahmagnitudestage 3hydraulic stimulationstrikedipkagan anglemoment-tensor inversionmtfitbayesian inversiongeophysicsgeophysical inversionfocal-mechanismsevent catalogdeep-learningamplitude ratios

Testing for Controlled Rapid Pressurization

Sep 03, 2014
297.13 kB
Publicly accessible
Borehole W1 is a NQ core hole drilled at our test site in Socorro. The rock is rhyolite. Borehole W1 which was used to test gas-gas explosive mixtures is 55 feet deep with casing (pinkish in the drawing) set to 35 feet. The model is a representation of the borehole and the hol...
Authors
Knudsen, S. Sandia National Laboratories
geothermalpressurizationegsgas-gassocorro test siterhyolitegas-gas pressurizationw1boreholerapid pressurizationcontrolledcoreexperimentexplosivesolidworksdrawingcadwellborestimulationhydraulicmaterialsystemhigh temperatureenergeticdownhole

Final Report: Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Nov 18, 2015
31.13 MB
Publicly accessible
This is a final report summarizing a two-year (2014-16) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and ...
Authors
E. Jordan, T. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiadistrict heatingdeep direct uselow-temperaturereservoirproductivityfavorabilityreservoir productivity indexreservoir flow capacitygpfa-abgeothermal play fairway analysisthermal analysisresource assessmentheat flowthermal conductivitygeothermsheat utilizationsurface leveled cost of heatlcohslcohdemandgeophirescombined risk segment mapsrisk analysisinduced seismicityfaultspotential fieldswaveletsbht correctionslow temperature

Newberry EGS Demonstration: Initial Project Report and Induced Seismicity Mitigation Plan, 2011

May 05, 2024
70.06 MB
Publicly accessible
This is the first project report and induced seismicity mitigation plan for the Newberry Enhanced Geothermal Systems (EGS) Demonstration project. The primary objectives of this first phase were to obtain necessary permits and comply with all regulations, including NEPA, communica...
Authors
Cladouhos, T. et al AltaRock Energy Inc
geothermalenergynewberryegsdemonstrationvolcanoaltarockoregongeologygeologic modelconceptual resource modelseismicityinduced seismicitymitigationmaximum magnitudein situ stresspermittingstimulationreservoir characterizationdrilling planwell testingrisk mitigationreporting

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 4-2492: Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery 2025 Workshop Presentation

Sep 18, 2025
274.17 MB
Publicly accessible
This is a presentation and materials on the Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery Efficiency at the Utah FORGE Site project by The University of Texas at Austin, presented by Professor Mukul M. Sharma. The project's objectives w...
Authors
Sharma, M. The University of Texas at Austin
geothermalenergyutah forgeegs2025 annual workshophydraulic fracturingstimulation designfracture networkcluster efficiencyreservoir connectivitygeothermal energyhorizontal wellsfracture optimizationpresentationpresentation recordingpresentation slidesreport

Utah FORGE 6-3712: Report on Building a Recurrent Neural Network Framework for Induced Seismicity October, 2025

Oct 13, 2025
1.62 MB
Publicly accessible
This is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of designing a recurrent neural network (RNN) to predict induced seismicity. Background material is included t...
Authors
Williams, J. et al Global Technology Connection, Inc.
geothermalenergydeep learninginduced seismicitypredictivemagnitudeartificial intelligenceaimachine learningmldlphysics-basedmodelingutah forgeegstechnical reportseismic datainjection parametersgeophysical modelsprobabilistic

EGS Collab Experiment 2: Shear Stimulation ERT Monitoring Data

Mar 06, 2023
139.08 MB
Publicly accessible
This repository contains the electrical resistivity tomography (ERT) monitoring data that was collected before, during, and after shear stimulation attempts were conducted at EGS Collab. These tests were carried out on the SURF 4100 level during Experiment 2 in March, 2022. Flow a...
Authors
Johnson, T. Pacific Northwest National Laboratory
geothermalenergyegs collabelectrical resistivity tomography4d-imaginge4dertexperiment 2raw datatime-lapse ertamuamldmudmltutltntsstimulation monitoringstimulationhydraulic pressure testsurfsurf 4100code3d modelingdata inversion

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography

Apr 20, 2020
6.74 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergyegs collab3d seismic structuretransfer learningdeep learningmachine learninginteractivesurfp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationgeophysicsmodelingvelocitymodelmicroseismicitycatalogtransfer-learningdouble-difference tomography3dseismicmeqprocessed datageospatial data

kISMET Core Photos and Descriptions

Aug 02, 2016
15.5 GB
Publicly accessible
These core photos and descriptions were taken from the five boreholes that were drilled as part of the kISMET SubTER project conducted at the Sanford Underground Research Facility (SURF) in Lead, SD. The boreholes are subvertical in orientation, and were drilled on the 4850 level ...
Authors
Dobson, P. et al Lawrence Berkeley National Laboratory
geothermalsubterstresshydraulic fracturingegssanford underground research facilitycorepoorman formationsurfkismetcore logscore photoscore descriptionsborehole

QuakeCastNet: Source Code for 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 forecastingtftprobabilisticmulti-horizontemporal transformer frameworkmachine learningdecision supporttraffic light

Life Cycle Water Consumption and Water Resource Assessment for Utility-Scale Geothermal Systems: An In-Depth Analysis of Historical and Forthcoming EGS Projects

Aug 31, 2013
10.97 MB
Publicly accessible
This report is the third in a series of reports sponsored by the U.S. Department of Energy Geothermal Technologies Program in which a range of water-related issues surrounding geothermal power production are evaluated. The first report made an initial attempt at quantifying the li...
Authors
Schroeder, J. et al Argonne National Laboratory
geothermalegswaterlife cyclewater consumptionpowerregional water resource assessmentstimulationinternationaldomesticgeologypermitnevadaproductioninjectioncaliforniaoregonoperationalabovegroundmake-upcoolingwellobservation wellnepadrillingproduction wellinjection wellchemicalflow testcirculation testexploration welllossreservoir lossbelowground lossoperational lossloss ratelife cycle assessmentwater resource

Seismic Analysis of Spatio-Temporal Fracture Generation During EGS Resource Development Full Moment Tensors and Stress Inversion Catalogs

Sep 26, 2018
51.03 kB
Publicly accessible
This submission contains 167 full moment tensor (MT) solutions for the seismicity observed two years prior and three years post start of injection activities. Also included are the azimuth and plunge angles for the three main stress directions sigma1, sigma 2 and sigma 3 at the P...
Authors
Gritto, R. et al Array Information Technology
geothermalenergyseismic moment tensorstress orientationstress changesinversiongeysersegsenhanced geothermalazimuthplungemincroseismicityinjectionstimulationreservoirthe geysershigh temperature reservoirfull mtsolutionspassiveseismicseismicitymicroseismicitymonitoringarraymomenttensorcataloganalysisinducedstressprati 32demonstrationfracturespatio-temporalgenerationresourcedevelopmenthydraulicfaultingfaultearthquakegeophysicsgeophysical

GEISER Project The Geysers Seismic Broadband Data 2012 2013

Oct 31, 2018
Size unavailable
Publicly accessible
This link points to the Northern California Earthquake Data Center (NCEDC) to access The Geysers seismic broadband data. The two available data sets consist of continuous waveform data recorded at The Geysers from July 2012 to July 2013 and a processed catalog with earthquake info...
Authors
Gritto, R. Array Information Technology
geothermalenergyseismic broadband dataseismicmicroseismiccontinuousinducedseismicitymicroseismicitymonitoringeventnetworkegsgeyserscacaliforniaarrivalearthquakegeisergeothermal engineering integrating mitigation of induced seismicity in reservoirsmitigationreservoirsstimulationresourcedevelopmenthydraulic

Seismic Analysis of Spatio-Temporal Fracture Generation During EGS Resource Development Deviatoric MT, Fracture Network, and Final Report

Sep 01, 2018
62.11 kB
Publicly accessible
This submission contains 167 deviatoric moment tensor (MT) solutions for the seismicity observed two years prior and three years post start of injection activities at The Geysers Prati 32 EGS Demonstration. Also included is a statistical representation of the properties of 751 fra...
Authors
Gritto, R. et al Array Information Technology
geothermalenergythe geysershigh temperature reservoirdeviatoric mt solutionsdeviatoricstresstensorcatalogmomentseismicityanalysisegsinjectioninducedmicroseismicityeventlocationshearstrainfracture networkfracture orientationfracture sizecaliforniacafaultfracturenetworkgeysersmicroseismichypocenterspassiveseismicmonitoringstimulationfinal reportinversionhydraulicfaultingearthquakegeophysicsgeophysical

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

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

Dataset and SUTRA model used to evaluate Reservoirs for Thermal Energy Storage in the Portland Basin, Oregon.

Jun 29, 2020
Size unavailable
Publicly accessible
This is a link to the open access, published dataset and modeling that supports a feasibility study of Reservoir Thermal Energy Storage (RTES) in the Portland Basin, Oregon, USA. Citation: Burns, E.R., 2020, SUTRA model used to evaluate Saline or Brackish Aquifers as Reservoirs f...
Authors
Bershaw, J. et al Portland State University
geothermalenergymodelrtesportland basinoregonsutratessimulationviscositydensityflowstimulationhydraulicaquifersalinebrackishporositywell-spacingwell datadistrict heatingheatingcoolingthermal efficiencyheat fluxtemperaturevolumepumping rate

Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments

May 05, 2021
Size unavailable
Publicly accessible
Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The fric...
Authors
Marone, C. Pennsylvania State University
geothermalenergyseismicactive sourcelaboratoryfriction experimentultrasonicgeophysicsmicroseismicitylab dataraw datawaveformsmechanical datapreprocessedmatlabacousticsacousticbiaxial testing apparatusultrasonic acoustic monitoring systemmachine learningdeep learningaiartificial intelligenceseismic forecastingearthquake forecastingfault

Utah FORGE: Wells 16A(78)-32 and 16B(78)-32 Stimulation Program Report May 2024

Nov 19, 2024
24.55 MB
Publicly accessible
This dataset consists of a comprehensive report documenting the stimulation program conducted in May 2024 on Utah FORGE wells 16A(78)-32 and 16B(78)-32. It includes detailed accounts of operational and scientific objectives, stimulation methodologies, and testing outcomes. The rep...
Authors
McClennan, J. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewell 16a78-32well 16b78-32stimulationwell stimulationwell 16awell 16b16a16bstimulation reportstimulation end of job reportfracfracingreporttechnical reportegscirculationproppantmethodsinjection rateproduction ratepressuretemperaturelogs

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
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