Robotics & Machine Learning Daily News2024,Issue(Oct.4) :144-145.

Studies from San Diego State University Describe New Findings in Machine Learning (Separating Injection-driven and Earthquakedriven Induced Seismicity By Combi ning a Fully Coupled Poroelastic Model With Interpretable Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Oct.4) :144-145.

Studies from San Diego State University Describe New Findings in Machine Learning (Separating Injection-driven and Earthquakedriven Induced Seismicity By Combi ning a Fully Coupled Poroelastic Model With Interpretable Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating in San Diego, Cal ifornia, by NewsRx journalists, research stated, "In areas of induced seismicity,earthquakes can be triggered by stress changes due to fluid injection and stat ic deformation from fault slip. Here we present a method to distinguish between injection-driven and earthquake-driven triggering of induced seismicity by combi ning a calibrated, fully coupled, poroelastic stress model of wastewater injecti on with interpretation of a machine learning algorithm trained on both earthquak e catalog and modeled stress features." Funders for this research include National Science Foundation (NSF), San Diego S tate University, National Science Foundation (NSF).

Key words

San Diego/California/United States/No rth and Central America/Cyborgs/Emerging Technologies/Machine Learning/San D iego State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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