First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means

First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means

First-arrival picking is a critical step in seismic data processing. This paper proposes the first-arrival picking through sliding windows and fuzzy c-means (FPSF) algorithm with two stages. The first stage detects a range using sliding windows on vertical and horizontal directions. The second stage...

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Bibliographic Details
Main Authors: Lei Gao, Zhen-yun Jiang, Fan Min
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Mathematics
Subjects:
first-arrival picking
fuzzy c-means
particle swarm optimization
range detection
Online Access:https://www.mdpi.com/2227-7390/7/3/221
Description
Summary:First-arrival picking is a critical step in seismic data processing. This paper proposes the first-arrival picking through sliding windows and fuzzy c-means (FPSF) algorithm with two stages. The first stage detects a range using sliding windows on vertical and horizontal directions. The second stage obtains the first-arrival travel times from the range using fuzzy c-means coupled with particle swarm optimization. Results on both noisy and preprocessed field data show that the FPSF algorithm is more accurate than classical methods.
ISSN:2227-7390

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