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
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spelling doaj-2fe09cd870074db890a7fef3b6ddd3a52020-11-25T02:53:16ZengMDPI AGMathematics2227-73902019-02-017322110.3390/math7030221math7030221First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-MeansLei Gao0Zhen-yun Jiang1Fan Min2School of Computer Science, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Computer Science, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Computer Science, Southwest Petroleum University, Chengdu 610500, ChinaFirst-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.https://www.mdpi.com/2227-7390/7/3/221first-arrival pickingfuzzy c-meansparticle swarm optimizationrange detection
collection DOAJ
language English
format Article
sources DOAJ
author Lei Gao
Zhen-yun Jiang
Fan Min
spellingShingle Lei Gao
Zhen-yun Jiang
Fan Min
First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means
Mathematics
first-arrival picking
fuzzy c-means
particle swarm optimization
range detection
author_facet Lei Gao
Zhen-yun Jiang
Fan Min
author_sort Lei Gao
title First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means
title_short First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means
title_full First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means
title_fullStr First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means
title_full_unstemmed First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means
title_sort first-arrival travel times picking through sliding windows and fuzzy c-means
publisher MDPI AG
series Mathematics
issn 2227-7390
publishDate 2019-02-01
description 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.
topic first-arrival picking
fuzzy c-means
particle swarm optimization
range detection
url https://www.mdpi.com/2227-7390/7/3/221
work_keys_str_mv AT leigao firstarrivaltraveltimespickingthroughslidingwindowsandfuzzycmeans
AT zhenyunjiang firstarrivaltraveltimespickingthroughslidingwindowsandfuzzycmeans
AT fanmin firstarrivaltraveltimespickingthroughslidingwindowsandfuzzycmeans
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