Data-Driven Signal–Noise Classification for Microseismic Data Using Machine Learning

Data-Driven Signal–Noise Classification for Microseismic Data Using Machine Learning

It is necessary to monitor, acquire, preprocess, and classify microseismic data to understand active faults or other causes of earthquakes, thereby facilitating the preparation of early-warning earthquake systems. Accordingly, this study proposes the application of machine learning for signal–noise...

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Bibliographic Details
Main Authors: Sungil Kim, Byungjoon Yoon, Jung-Tek Lim, Myungsun Kim
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
Pohang
microseismic data
STA/LTA triggering
supervised learning
unsupervised learning
signal–noise classification
Online Access:https://www.mdpi.com/1996-1073/14/5/1499

Internet

https://www.mdpi.com/1996-1073/14/5/1499

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