Using Fuzzy C-Means Clustering to Determine First Arrival of Microseismic Recordings

Using Fuzzy C-Means Clustering to Determine First Arrival of Microseismic Recordings

Accurate and automatic first-arrival picking is one of the most crucial steps in microseismic monitoring. We propose a method based on fuzzy c-means clustering (FCC) to accurately divide microseismic data into useful waveform and noise sections. The microseismic recordings’ polarization linearity, v...

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Bibliographic Details
Main Authors: Xiangyun Zhao, Haihang Chen, Binhong Li, Zhen Yang, Huailiang Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
microseismic data
first-arrival picking
fuzzy c-means clustering
machine learning
Online Access:https://www.mdpi.com/1424-8220/24/5/1682

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