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Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2026 Workshop Presentation

Sep 30, 2026
73.58 MB
Curated
This is a presentation on Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics (Global Technology Connection), presented by Dr. Jesse Williams. The project is developing machine-learning and physics-informed models to impro...
Authors
Williams, J. GTC Analytics
geothermalenergyutah forgeegs2026 annual workshopmachine-learningneural networksphysics basedphysics-informedseismic responseinduced seismicityforecastingstimulation-induced seismicitytraffic lightgeothermal reservoirreservoir managementpresentationreportdecision support

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 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

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 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: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements 2024 Annual Workshop Presentation

Sep 04, 2024
60.41 MB
Publicly accessible
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by The University of Pittsburgh, presented by Andrew Bunger. The project characterizes the stress in the Utah FORGE EGS...
Authors
Bunger, A. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgein-situ stressmachine learningmachine learning for in-situ stresssonic logsmini-fracrock mechanicsrock stressstressstress estimationvideopresentation

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 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

Directional Cooling-Induced Fracturing Westerly Granite Test Results

Dec 18, 2020
72.48 MB
Publicly accessible
Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on a short, cylindrical sample of Westerly granite (diameter = 4 inches, height ~ 2 inches). Liquid nitrogen was poured in a copper cup attached to the top of the sample, and the resulting acoustic emissions ...
Authors
Nakagawa, S. Lawrence Berkeley National Laboratory
geothermalthermal crackingacoustic emissionstemperature changeslaboratory experimentwesterly granitegranitemoment tensorfractureseismicgeophysicsliquid nitrogenthermaltemperaturestimulationdirectional coolinginduced fracturingdirectional cooling-induced fracturingwellborestressvelocitytomographymicrocracking

DCIF Westerly Granite AE Stress Effect Test (Task 3-1)

Jul 08, 2021
216.62 MB
Publicly accessible
Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on rectangular Westerly granite blocks (width=depth=4.0", height=2.0"). Liquid nitrogen was poured in a small, 1"-diameter copper cup attached to the top of the sample, and the resulting acoustic emissions (A...
Authors
Nakagawa, S. and Trzeciak, M. Lawrence Berkeley National Laboratory
geothermalenergythermal fracturingstress measurementfracturingprocessed datageophysicsstress testinggranitewesterly granitestressmicrofracturefracturedatatemperatureacoustic emissionacoustic emission locationacoustic emission rate

DCIF (Directional Cooling-Induced Fracturing) Westerly Granite AE Borehole Damage Effect Test (Task 3-0)

Jan 27, 2022
162.51 MB
Publicly accessible
Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on three rectangular Westerly granite blocks (width=depth=4.0", height=2.0") which were preheated to 200, 400, and 600 degree C to induce damage (microcracks) with varying degrees. Liquid nitrogen was poured...
Authors
Nakagawa, S. Lawrence Berkeley National Laboratory
geothermalenergydirectional cooling induced fracturingdcifdirectional cooling-induced fracturingdamage effect testfracturemicrocrackthermal stressacoustic emissionaccousticsthermal fracturefailure testraw dataprocessed datastressbiaxial stresswesterly graniteborehole damage effecttestwesterlygranite
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