First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means
Lei Gao,
Zhen-yun Jiang and
Fan Min
Additional contact information
Lei Gao: School of Computer Science, Southwest Petroleum University, Chengdu 610500, China
Zhen-yun Jiang: School of Computer Science, Southwest Petroleum University, Chengdu 610500, China
Fan Min: School of Computer Science, Southwest Petroleum University, Chengdu 610500, China
Mathematics, 2019, vol. 7, issue 3, 1-13
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.
Keywords: first-arrival picking; fuzzy c-means; particle swarm optimization; range detection (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2227-7390/7/3/221/pdf (application/pdf)
https://www.mdpi.com/2227-7390/7/3/221/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:7:y:2019:i:3:p:221-:d:209462
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().