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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 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 2-2404: Application of Advanced Techniques for Determination of Reservoir-Scale Stress State 2024 Annual Workshop Presentation

Aug 28, 2024
83.22 MB
Publicly accessible
This is a presentation on the Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at FORGE by the University of Oklahoma, presented by Ahmad Ghassemi. This video discusses how magnitude and orientation of natural in-situ principal stresses at dept...
Authors
Ghassemi, A. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgein-situ stressreservoir stress stateuniversity of oklahomadfitwellbore stressnormal-strike-slip faultgeomechanicscore testingvideopresentationegs

Utah FORGE 5-2419: Seismicity-Permeability Relationships Probed via Nonlinear Acoustic Imaging 2024 Annual Workshop Presentation

Sep 05, 2024
126.38 MB
Publicly accessible
This is a presentation on Seismicity-Permeability Relationships Probed via Nonlinear Acoustic Imaging by Pennsylvania State University, presented by Derek Elsworth. This video slide presentation discussed controls and acoustic signatures of aseismic through seismic evolution of re...
Authors
Elsworth, D. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeaseismic evolutionfriction-stability-permeabilitypermeabilityfracturesshear-reactivationshearstimulationreservoir stimulationseismicityfracfracingwell stimulationpetrophysicsgeomechanicshthppennsylvania state universityvideopresentationegs

Utah FORGE 3-2418: Wellbore Fracture Imaging Using Inflow Detection Measurements 2023 Annual Workshop Presentation

Sep 08, 2023
75.16 MB
Publicly accessible
This is a presentation on the Wellbore Fracture Imaging Using Inflow Detection Measurements project by Stanford University, presented by Dr. Roland N. Horne. The project's objective was to make measurements in the Utah FORGE wells, both before and after fracturing experiments, to...
Authors
Horne, R. and Su, J. Stanford University
geothermalenergyannual workshop2023utah forgeegsgeochemistrychloridefracture mappingflow monitoringreservoir characterizationion-specific electrodereservoir performanceconnectivityinflow detectionfracture imaging

EGS Collab Experiment 2: Co-Injection Sewer Camera Survey Videos

May 20, 2025
38.69 GB
Publicly accessible
On April 21, 2022, sewer camera surveys were conducted in boreholes TN and TL as part of Experiment 2 of the EGS Collab project. These surveys were performed during fluid injection into three zones in borehole TC to identify the depths of active fracture intersections. The goal wa...
Authors
Hopp, C. et al Lawrence Berkeley National Laboratory
geothermalenergysewer camegs collabfractureflowegsfracture characterizationsewer camera surveyborehole videovideosdownhole imaginginjectionfracture inflowtntltcexperiment 2injection zones
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