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

Name: Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2024 Annual Workshop Presentation
Creator: DOE Geothermal Data Repository; Energy and Geoscience Institute at the University of Utah
Published: 2024-09-18 02:10:57
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DataCite Commons2024-09-18 更新2025-04-09 收录

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https://www.osti.gov/servlets/purl/2441432/

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资源简介：

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, discussed the technical objectives of developing a real-time decision-making platform to enhance seismic monitoring and risk management during stimulation activities. This presentation was featured in the Utah FORGE R&D Annual Workshop on August 15, 2024.

提供机构：

DOE Geothermal Data Repository; Energy and Geoscience Institute at the University of Utah

创建时间：

2024-09-18