19–23 Jun 2023
Hofburg Palace & Online
Europe/Vienna timezone

Advances in Application of Machine Learning to Seismic Monitoring Data Processing

22 Jun 2023, 09:00


Board: 25
E-poster T3.5 Analysis of Seismic, Hydroacoustic and Infrasound Monitoring Data Lightning talks: P3.5, P5.1


Mr Jian Li (CTBT Beijing National Data Center)


This paper summarizes the advances in the application of machine learning to seismic monitoring data processing. Then it focuses on our work including local events detection based on multi-task Convolutional neural network (CNN), Generative Adversarial Network - Long Short-Term Memory(GAN-LSTM) joint network applied to seismic noise signal recognition, the seismic phase sequence detection based on transformer, and seismic event association based on probabilistic models.
Finally, the trend of the development and potential challenges with machine learning applications are discussed.

Promotional text

The seismic monitoring data model was built using machine learning and deep learning. Phase picking, noise signal recognition, and event association methods were established to realize seismic event detection.

E-mail [email protected]

Primary author

Mr Jian Li (CTBT Beijing National Data Center)


Mr Jie Shang (CTBT Beijing National Data Center) Mr Lei Gai (CTBT Beijing National Data Center) Mr Lihong Huang (CTBT Beijing National Data Center) Mr Tang Wei (CTBT Beijing National Data Center) Xiaoming Wang (CTBT Beijing National Data Center) Mr Yong Xiao (CTBT Beijing National Data Center) Zhehan Liu (CTBT Beijing National Data Center and Beijing Radionuclide Laboratory)

Presentation materials