Applying EQTransformer to laboratory earthquakes: detecting and picking acoustic emissions with machine learning

Applying EQTransformer to laboratory earthquakes: detecting and picking acoustic emissions with machine learning

Abstract Acoustic emissions (AEs) are bursts of elastic waves generated by ruptures in laboratory rock mechanics experiments that mirror typical seismograms recorded in natural earthquakes, albeit at much higher frequencies. Traditionally, AE events were manually sorted and picked—a time-consuming a...

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Bibliographic Details
Main Authors: Jack Sheehan, Qiushi Zhai, Lindsay Yuling Chuang, Timothy Officer, Yanbin Wang, Lupei Zhu, Zhigang Peng
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Earth, Planets and Space
Subjects:
Seismic event detection
Phase picking
Acoustic emissions
Laboratory earthquakes
EQTransformer
Machine learning
Online Access:https://doi.org/10.1186/s40623-025-02237-2
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https://doi.org/10.1186/s40623-025-02237-2

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