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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

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

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