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

Author

Listed:
  • 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
    Institute for Artificial Intelligence, Southwest Petroleum University, Chengdu 610500, China)

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.

Suggested Citation

  • Lei Gao & Zhen-yun Jiang & Fan Min, 2019. "First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means," Mathematics, MDPI, vol. 7(3), pages 1-13, February.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:3:p:221-:d:209462
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    References listed on IDEAS

    as
    1. Tetsuo Takanami & Genshiro Kitagawa, 1991. "Estimation of the arrival times of seismic waves by multivariate time series model," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(3), pages 407-433, September.
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    Cited by:

    1. Jia Ming Yeoh & Fabio Caraffini & Elmina Homapour & Valentino Santucci & Alfredo Milani, 2019. "A Clustering System for Dynamic Data Streams Based on Metaheuristic Optimisation," Mathematics, MDPI, vol. 7(12), pages 1-24, December.

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