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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 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 5-2615: Determination and Analysis of Thermo-poromechanical Response of Fractured Rock 2024 Annual Workshop Presentation

Sep 01, 2024
63.48 MB
Publicly accessible
This is a presentation on the Determination and Modeling-Informed Analysis of Thermo-poromechanical Response of Fractured Rock for Application to FORGE by the University of Oklahoma, presented by Ahmad Ghassemi. This video presentation discusses how to improve understanding and co...
Authors
Ghassemi, A. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeuniversity of oklahomatpmthermo-hydro-mechanicalrock mechanicsporositythermoporomechanicaldfitreservoir stress modellingrock stressmicro-seismicityegsvideopresentation

Value of Information App Webinar Recording

Sep 28, 2026
840.61 MB
Curated
This recorded webinar provides background on the Value of Information (VOI) App and demonstrates how to use the application. The webinar walks through a public example dataset and includes slides and screen sharing to introduce decision analysis, the VOI metric, and the app workfl...
Authors
Trainor-Guitton, W. and Menon, K. National Laboratory of the Rockies
geothermalenergydecision sciencebayesian statisticslabeled dataingeniousgeophiresvalue of informationvoidecision supportdecision analysisgeophysical datageothermal explorationprocessed dataweb appwebinarpresentation recording

Utah FORGE 3-2514: Final Report and Presentation on a Strain Sensing Array to Characterize Deformation

Dec 25, 2025
115.35 MB
Publicly accessible
This dataset contains the final technical report and closeout presentation for the project A Strain Sensing Array to Characterize Deformation at the Utah FORGE Site, carried out from 2021 to 2025 by Clemson University in collaboration with the U.S. Geological Survey and UNAVCO. Th...
Authors
Murdoch, L. Clemson University
geothermalenergyutah forgeegstensor strainmeter arraydeformationhydraulic stimulationinstrument fabricationfield installationlaboratory validationhigh-temperaturehigh-pressurestrainmeterstrain datacalibrationgeophysicsgeomechanicstechnical report

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 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

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

EGS Collab Experiment 1: 4850L Downhole Camera Surveys During Injection

May 25, 2018
784.41 MB
Publicly accessible
This package includes data and footage from two rounds of downhole camera surveys performed at the Sanford Underground Research Facility (SURF) on the 4850 level. The exercise was performed once on 25 May 2018 and once on 21 December 2018. On May 25th, the first round was done dur...
Authors
Schwering, P. et al Sandia National Laboratories
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsdownhole cameraboreholestressdatapressureproduction wellflowinjectionjetsjetting pointfracturewellboreinjection ratefoliationdepthwell datainjection teste1-pdrillinggeovisiondual-scan micro video camera

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 5-2615: Thermo-poromechanical Response of Fractured Rock 2023 Annual Workshop Presentation

Sep 08, 2023
77.11 MB
Publicly accessible
This is a presentation on the Experimental Determination and Modeling-Informed Analysis of Thermo-poromechanical Response of Fractured Rock for Application to Utah FORGE project by the University of Oklahoma, presented by Dr. Ahmad Ghassemi, McCasland Chair Prof. The project objec...
Authors
Ghassem, A. University of Oklahoma
geothermalenergyannual workshop2023utah forgeegsreservoir developmentfracture closuregeophyscisporomechanicalthermo-poromechanicalmicro-seismicitystress redistributionpermeability evolutiondfitpresentationmodel

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 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress 2025 Workshop Presentation

Sep 18, 2025
70.04 MB
Publicly accessible
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by University of Pittsburgh, presented by Dr. Andrew Bunger. The project's objective was to characterize stress i...
Authors
Bunger, A. University of Pittsburgh
geothermalenergyutah forgeegsin-situ stresscharacterizationstress modelinglaboratory testingmachine learningsonic loganalysismini-frac testing2025 annual workshoppresentationpresentation recordingpresentation slidesreport

Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement 2023 Annual Workshop Presentation

Sep 08, 2023
67.35 MB
Publicly accessible
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the U...
Authors
Kelley, M. and Bunger, A. Battelle Memorial Institute
geothermalenergyannual workshop2023utah forgeegsmachine learningin-situ stressstress characterizationmini-fracrock-core stress estimationsonic-log datamodelinglaboratory experimentsdeformation rate analysisboundary element methodsleeve frac packerfar-fieldnear-field

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

Silver Peak Innovative Exploration Project (Ram Power Inc.)

Jan 01, 2010
463.6 MB
Publicly accessible
Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a deep-circulation (amagmatic) meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich...
Authors
Miller, C. Ram Power, Inc.
geothermalsilver peakgravitymagneticmtradiometricsregional temperatureremote sensingresource modelseismicfluid datawell dataphotosgeologywalker lanelate miocenepliocenelone mountainesmeralda countynevadagravity surveygridterrain5km10kmupward continued regional residualbougerhorizontal gravity gradientnorth americaimperial countymagnetic reporttmiigrftotal magentic intensitymagnetotelluric surveymt surveyresistivity3dground mtztemradiometric survey silver peak20102011temperatureshallow temperature gradienttemperature gradient holestghasterphotographs2dseismic reflection surveyfaultsmesquitefluidchemistrygeologymapgeospatial data
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