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Mathematics 2019, 7(3), 221; https://doi.org/10.3390/math7030221

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

1,*
,
1
and
1,2
1
School of Computer Science, Southwest Petroleum University, Chengdu 610500, China
2
Institute for Artificial Intelligence, Southwest Petroleum University, Chengdu 610500, China
*
Author to whom correspondence should be addressed.
Received: 27 January 2019 / Revised: 21 February 2019 / Accepted: 25 February 2019 / Published: 27 February 2019
(This article belongs to the Special Issue Evolutionary Computation)
Full-Text   |   PDF [6344 KB, uploaded 27 February 2019]   |  

Abstract

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. View Full-Text
Keywords: first-arrival picking; fuzzy c-means; particle swarm optimization; range detection first-arrival picking; fuzzy c-means; particle swarm optimization; range detection
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Gao, L.; Jiang, Z.-Y.; Min, F. First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means. Mathematics 2019, 7, 221.

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