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First-arrival picking through fuzzy c-means and robust locally weighted regression

  • Research Article - Applied Geophysics
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Abstract

First-arrival picking is a crucial step in seismic data processing. Because of the diverse background noises and irregular near-surface conditions, it is difficult to pick first arrivals. In addition, existing algorithms are usually sensitive to parameter settings. Therefore, this paper proposes the first-arrival picking through fuzzy c-means and robust locally weighted regression (FPFR) algorithm consisting of two subroutines. The pre-picking subroutine obtains initial first arrivals through fuzzy c-means clustering and adaptive cluster-selection techniques. The smoothing subroutine handles background noises and near-ground conditions through adaptive parameter regression technique. The experiment is conducted on six field seismic datasets and one synthetic dataset. Results show that FPFR is more accurate than three state-of-the-art methods.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (41674141).

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Authors and Affiliations

  1. School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China

    Lei Gao, Dang Liu, Guan Feng Luo & Fan Min

  2. School of Sciences, Southwest Petroleum University, Chengdu, 610500, China

    Guo Jie Song

  3. Institute for Artificial Intelligence, Southwest Petroleum University, Chengdu, 610500, China

    Fan Min

Authors
  1. Lei Gao
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  2. Dang Liu
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  3. Guan Feng Luo
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  4. Guo Jie Song
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  5. Fan Min
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Correspondence to Fan Min.

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On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Communicated by Dr. Junlun Li (ASSOCIATE EDITOR) / Prof. Michał Malinowski (CO-EDITOR-IN-CHIEF).

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Gao, L., Liu, D., Luo, G.F. et al. First-arrival picking through fuzzy c-means and robust locally weighted regression. Acta Geophys. 69, 1623–1636 (2021). https://doi.org/10.1007/s11600-021-00636-z

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  • DOI: https://doi.org/10.1007/s11600-021-00636-z

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