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Author:

Liu, Naihao (Liu, Naihao.) | Li, Fangyu (Li, Fangyu.) | Wang, Dehua (Wang, Dehua.) | Gao, Jinghuai (Gao, Jinghuai.) | Xu, Zongben (Xu, Zongben.) (Scholars:徐宗本)

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SCIE EI Scopus Web of Science

Abstract:

Ground roll, a source-generated surface wave, is a main type of coherent noise in a land seismic survey. Low-frequency and high-amplitude ground roll often overlays valid reflection events, resulting in obscuring seismic reflections. Ground-roll attenuation is an essential step for seismic data processing, which is based on the accurate separation of the ground roll and reflections without damaging their morphological characteristics. In this study, we effectively separate and suppress ground roll in shot gathers through a proposed workflow. We first identify the major components of the ground roll adopting the multichannel variational mode decomposition (MVMD), which shows significant improvements compared to the conventional single-channel VMD. Ground roll can be identified on the decomposed band-limited intrinsic mode functions (IMFs). Moreover, we propose an adaptive criterion to determine the number of decomposed IMFs. Due to the narrowly concentrated frequency components with the multichannel continuity constraint from MVMD, ground roll is mainly contained in low-frequency IMFs, which benefits the accurate ground-roll suppression. Next, we separate ground roll and reflections on the selected low-frequency IMFs through a curvelet based block-coordinate relaxation method. Afterward, we can obtain a filtered gather by removing the separated ground roll from the original shot gather. Finally, we apply the proposed workflow to synthetic and field gathers to testify its validity and effectiveness for simultaneously attenuating ground roll and preserving valid seismic reflector information.

Keyword:

Attenuation Curvelet transform ground roll intrinsic mode functions (IMFs) multichannel variational mode decomposition (MVMD) Optimization Robustness Signal resolution Signal to noise ratio Transforms variational mode decomposition (VMD) Wavelet transforms

Author Community:

  • [ 1 ] [Liu, Naihao]Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian 710049, Peoples R China
  • [ 2 ] [Gao, Jinghuai]Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian 710049, Peoples R China
  • [ 3 ] [Liu, Naihao]Natl Engn Lab Offshore Oil Explorat, Xian 710049, Peoples R China
  • [ 4 ] [Gao, Jinghuai]Natl Engn Lab Offshore Oil Explorat, Xian 710049, Peoples R China
  • [ 5 ] [Li, Fangyu]Kennesaw State Univ, Dept Elect & Comp Engn, Marietta, GA 30060 USA
  • [ 6 ] [Wang, Dehua]Xian Technol Univ, Sch Sci, Xian 710021, Peoples R China
  • [ 7 ] [Xu, Zongben]Xi An Jiao Tong Univ, Sch Math, Xian 710049, Peoples R China

Reprint Author's Address:

  • F. Li;;Department of Electrical and Computer Engineering, Kennesaw State University, Marietta, 30060, United States;;email: fli6@kennesaw.edu;;D. Wang;;Department of Electrical and Computer Engineering, Kennesaw State University, Marietta, 30060, United States;;email: dhwangxatu@163.com;;F. Li;;School of Science, Xi'an Technological University, Xi'an, 710021, China;;email: fli6@kennesaw.edu;;D. Wang;;School of Science, Xi'an Technological University, Xi'an, 710021, China;;email: dhwangxatu@163.com;;

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Source :

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

ISSN: 0196-2892

Year: 2022

Volume: 60

5 . 6 0 0

JCR@2020

ESI Discipline: GEOSCIENCES;

ESI HC Threshold:6

Cited Count:

WoS CC Cited Count: 5

SCOPUS Cited Count: 42

ESI Highly Cited Papers on the List: 3 Unfold All

  • 2022-11
  • 2022-9
  • 2022-7

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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