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 74.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"Brady EGS seismic monitoring network"×
Video×

Utah FORGE 8-3617: Tracer Huff-Puff Tests and Geomechanical Analysis to Measure Evolution of the Fracture Network 2025 Workshop Presentation

Sep 18, 2025
84.74 MB
Publicly accessible
This is a presentation on Integrating Tracer Huff-Puff Tests and Geomechanical Analysis to Measure Evolution of the Fracture Network in EGS Reservoirs by California State University Long Beach, presented by Prof. Matthew Becker. This video slide presentation describes the use of h...
Authors
Becker, M. California State University Long Beach
geothermalenergyutah forgeegs2025 annual workshoptracer testinghuff-puff experimentsfracture network evolutiongeomechanicsthmcheat exchange areareservoir performancepresentationpresentation recordingpresentation slidesreport

Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation 2025 Workshop Presentation

Sep 18, 2025
84.04 MB
Publicly accessible
This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the University of Utah, presented by Dr. No'am Zach Dvory. This video slide presentation, by the University of Utah, d...
Authors
Dvory, N. University of Utah
geothermalenergyutah forgeegs2025 annual workshopreal-time decision makingmachine learningseismic monitoringstimulation risk managementgeomechanicsseismologypresentationpresentation recordingpresentation slidesreport

Utah FORGE 3-2535: Joint Imaging of Fracture Growth and Estimation of Fracture Properties During EGS Development 2024 Annual Workshop Presentation

Aug 25, 2024
68.88 MB
Publicly accessible
This is a presentation on the Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development by Lawrence Berkeley National Laboratory, presented by David Alumbaugh. This is a video pres...
Authors
Alumbaugh, D. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgevemp toolegsenhanced geothermal systemsinsarinduced fracturespassive seismicemvertical electromagnetic profilingthmceletromagneticlbnllawrence berkley national laboratory

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

Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation 2024 Annual Workshop Presentation

Sep 15, 2024
41.44 MB
Publicly accessible
This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the University of Utah, presented by No'am Zach Dvory. This video slide presentation, by the University of Utah, disc...
Authors
Dvory, N. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeuniversity of utahseismicaimachine learningdata-driven decisionscommunity safteyinfrastructure protectionproactive risk mitigationimproved safteyimmediate responsestimulationfracingground motionseismic hazardsegsvideopresentationdecision support

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 4-2492: Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery 2024 Annual Workshop Presentation

Sep 16, 2024
113.88 MB
Publicly accessible
This is a presentation on the Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery Efficiency by The University of Texas at Austin, presented by Mukul M. Sharma. This video slide presentation discusses the following objectives: (1) to place fr...
Authors
Sharma, M. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegswell stimulationfracfracingfractureshorizontal wellfracture networkfracture sizeflowfracture areafracture treatmentsdfnsubsurface modelhydraulic fracturesvideopresentation

Utah FORGE 9-3706: Designing, Characterizing and Optimizing Proppant and Flow Monitoring Materials 2025 Workshop Presentation

Sep 18, 2025
631.68 MB
Publicly accessible
This is a presentation on Designing, Characterizing & Optimizing Proppant & Flow Monitoring Materials for a Utah FORGE Engineered Geothermal System by Oklahoma State University, presented by Dr. Mileva Radonjic. This video slide presentation discusses enhanced proppant coatings, z...
Authors
Radonjic, M. Oklahoma State University
geothermalenergyutah forgeegs2025 annual workshopproppantsproppant coatingsflow monitoringtracer particleshigh-temperature testinghigh-pressure testingcfd-dem modelingthmc modelingfracture conductivitypresentationpresentation recordingpresentation slidesreport

Utah FORGE 4-2541: Final Report and Presentation on Optimization and Validation of a Plug and Perf Stimulation Treatment Design

Jul 15, 2025
219.13 MB
Publicly accessible
This dataset contains the final technical report and closeout presentation for Utah FORGE Project 4-2541, which focused on the optimization and validation of a multistage plug and perf stimulation treatment design for enhanced geothermal systems. The report documents drilling, com...
Authors
Norbeck, J. Fervo Energy
geothermalenergyplug and perfstimulationutah forgeegshorizontal drillingmonitoring wellfiber-optic monitoringdistributed acoustic sensingdasdistributed temperature sensingdtspressuretemperaturestimulation performanceflow allocationfracture geometryinjectivityinduced seismicitytechnical reporthydraulic stimulation

Utah FORGE 3-2417: Final Report and Presentation on Fiber-Optic Geophysical Monitoring of Reservoir Evolution at Utah FORGE

Aug 01, 2025
203.83 MB
Publicly accessible
This dataset contains the final technical report and closeout presentation for the project Fiber Optic Geophysical Monitoring, conducted by Rice University as part of Utah FORGE project 3-2417. The report documents the deployment and analysis of fiber-optic based geophysical monit...
Authors
Ajo-Franklin, J. Rice University
geothermalenergydistributed fiber-optic sensingutah forgeegsgeophysicsreservoir characterizationdistributed acoustic sensingdistributed temperature sensingdistributed strain sensingdasdtsdsstechnical reportpermeabilitystimulation monitoring

Utah FORGE 3-2417: Fiber-Optic Geophysical Monitoring of Reservoir Evolution 2024 Annual Workshop Presentation

Aug 13, 2024
160.55 MB
Publicly accessible
This is a presentation on the Fiber-Optic Geophysical Monitoring of Reservoir Evolution by Rice University, presented by Jonathan Ajo-Franklin. This video slide presentation discusses the development of an end-to-end fiber-optic sensing approach for EGS to track the (1) initial zo...
Authors
Ajo-Franklin, J. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgerice universityfracture creationegsconnected mechanically compliant fracturesflowing fracturesthmdasdas microseismicpresentationvideo

Utah FORGE 3-2417: Fiber-Optic Geophysical Monitoring of Reservoir Evolution 2023 Annual Workshop Presentation

Sep 08, 2023
54.51 MB
Publicly accessible
This is a presentation on the Fiber-Optic Geophysical Monitoring of Reservoir Evolution at the Utah FORGE Milford Site project by Rice University, presented by Prof. Jonathan Ajo-Franklin. The project's objective was to develop an end-to-end fiber-optic sensing approach for EGS to...
Authors
Ajo-Franklin, J. et al Rice University
geothermalenergyannual workshop2023utah forgeegsdistributed fiber optic sensingdfosdasflowing fracturesfracture creationwell pairegs performancemechanically compliant fracturesend-to-endegs fracture model

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog from Double-Difference Seismic Tomography

Jun 01, 2020
12.59 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog obtained for a double-difference seismic tomography study. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-wave velocity (km/s), P-wave velocity quality indicator (1 for we...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergy3d seismic structureinteractivesurfegs collabp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationegsgeophysicsseismicmicroseismictomographyvelocitymicroearthquakemicro-earthquakemeqe1-pe1-ipassive source sensor3dmodelingvisualizationcatalogprocessed data

Utah FORGE 5-2428: Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior 2023 Annual Workshop Presentation

Sep 08, 2023
79.68 MB
Publicly accessible
This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is to develop, apply and validate a holistic thermal, hydrologic, mechanical, and chemic...
Authors
Kroll, K. et al Lawrence Livermore National Laboratory
geothermalenergyannual workshop2023utah forgeegsthmcinduced seismicityseismic slipearthquake simulationspressure statestress statepredictionsseismic hazardresource optimizationmitigationgeomechanicalgeochemicalslip-induced permeabilitycoupled processesfracture permeabilitypresentationstochastic parameter estimationslip simulation

Utah FORGE 3-2535: Joint EM-Seismic-InSAR Imaging of Fracture Properties 2023 Annual Workshop Presentation

Sep 08, 2023
81.78 MB
Publicly accessible
This is a presentation on the Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development project by Lawrence Berkeley National Laboratory, presented by Dr. David Alumbaugh, Staff Sc...
Authors
Alumbaugh, D. Lawrence Berkeley National Laboratory
geothermalenergyannual workshop2023utah forgeegsem modelinginsarem data aquisitionpassive seismicactive source borehole emfracture generationfracture growthreservoir characterizationreservoir imagingworkflowsteel casingem surveyem data processingpresentation

Utah FORGE 4-2492: Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery 2023 Annual Workshop Presentation

Sep 08, 2023
194.2 MB
Publicly accessible
This is a presentation 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 were to place f...
Authors
Sharma, M. The University of Texas at Austin
geothermalenergyannual workshop2023utah forgeegsfracture conductivityfracture diagnosticsconnectivityfluid circulationuniform injection profileideal fracture characteristicsstimulationthief zonesflowrateinjection pressurefracture geometryoptimizationenergy recoveryefficiency

Utah FORGE 3-2418: Wellbore Fracture Imaging Using Inflow Detection 2024 Annual Workshop Presentation

Sep 13, 2024
69.4 MB
Publicly accessible
This is a presentation on the Wellbore Fracture Imaging Using Inflow Detection by Stanford University and Sandia National Laboratory, presented by Roland Horde. This is a video presentation on wells, both before and after stimulation, using chloride or other ions to map fractures ...
Authors
Horne, R. and Schneider, M. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgestanford universitystanfordstimulationfracturesfracingsewer camflow magnitudeschloridechloride concentrationion concetrationfracture networkpresentationvideoegs

Reservoir Stimulation Optimization with Operational Monitoring for Creation of EGS

Sep 15, 2014
21.38 MB
Publicly accessible
EGS field projects have not sustained production at rates greater than 1/2 of what is needed for economic viability. The primary limitation that makes commercial EGS infeasible is our current inability to cost-effectively create high-permeability reservoirs from impermeable, igneo...
Authors
A., C. Pacific Northwest National Laboratory
geothermalstressvolume expansionpermeabilityfracturingrheoreversible fluidsxmtacoustic emissionlaboratory scaleegsigneous rockacoustic signaturefracture responsex-ray microtomography

Utah FORGE 5-2428: Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior 2025 Workshop Presentation

Sep 18, 2025
129.18 MB
Publicly accessible
This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is to develop, apply and validate a holistic thermal, hydrologic, mechanical, and chemica...
Authors
Kroll, K. Lawrence Livermore National Laboratory
geothermalenergyutah forgeegs2025 annual workshopfracture permeabilityinduced seismicityseismic slipthmcreservoir modelinghydromechanical behaviorpresentationpresentation recordingpresentation slidesreport

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 1-2551: Multi-Stage Fracturing System and Well Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores 2023 Annual Workshop Presentation and Report

Sep 08, 2023
73.57 MB
Publicly accessible
Included here are a presentation recording, slides, and report on the Multi-Stage Fracturing System and Well Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores project by Colorado School of Mines, presented by Dr. William W. Fleckenstei...
Authors
Fleckenstein, W. et al Colorado School of Mines
geothermalenergyannual workshop2023utah forgeegsstimulationheat-carrier fluidzonal isolationmultistage fracture stimulationinjectionflow controlhorizontal wellborestimulation technologylong-reach injectormulti-stage fracturing systemwell tractorreport

Utah FORGE 1-2551: Development of a Multi-Stage Fracturing System and Wellbore Tractor 2024 Annual Workshop Presentation

Jan 13, 1970
44.1 MB
Publicly accessible
This is a presentation on the Development of a Multi-Stage Fracturing System and Wellbore Tractor by Colorado School of Mines, presented by William Fleckenstein. This video describes (1) the development and use of a low-cost and rapid multistage fracture stimulation technology wit...
Authors
Fleckenstein, W. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgecolorado school of minesfracture stimulationwell stimulationfracingmultistate fracture stimulationflow controlheat recovery improvementpacker eliminationegswelbore tractor

Utah FORGE 5-2428: Coupled Investigation of Fracture Permeability Impact on Reservoir Stress and Seismic Slip 2024 Annual Workshop Presentation

Aug 27, 2024
99.9 MB
Publicly accessible
This is a presentation on the Coupled Investigation of Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior by Lawrence Livermore National Laboratory, presented by Kayla Kroll. This presentation addresses testing and modelling related to the dependency of EG...
Authors
Kroll, K. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegsgeomechanicsfracturesvelocity step testfluid pressureshear fracture strengthcore flood testspermeabilitylaser profilometryreservoir modellinglawrence livermore national laboratoryllnlvideopresentation

Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2025 Workshop Presentation

Sep 18, 2025
70.48 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 Dr. Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to esti...
Authors
Williams, J. GTC Analytics
geothermalenergyutah forgeegs2025 annual workshopinduced seismicitymachine learningrecurrent neural networksprobabilistic modelingseismic response predictionmagnitude-frequency analysisphysics-informed aipresentationpresentation recordingpresentation slidesreport

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
123Next >>
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