Journal of Jilin University(Earth Science Edition) ›› 2016, Vol. 46 ›› Issue (3): 911-919.doi: 10.13278/j.cnki.jjuese.201603305

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Seismic Denoising Technique Based on Surface Wave Modeling and Curvelet Transform

Cui Yongfu1,2, Li Guofa3, Wu Guochen1, Shang Shuai2, Zhao Ruirui2, Luo Lili2   

  1. 1. School of Geosciences, China University of Petroleum(Huadong), Qingdao 266580, Shandong, China;
    2. Research Institute of Exploration and Development, Tarim Oilfield Company, PetroChina, Korla 841000, Xinjiang, China;
    3. College of Geophysics and Information Engineering, China University of Petroleum, Beijing 102249, China
  • Received:2015-08-30 Online:2016-05-26 Published:2016-05-26
  • Supported by:

    Supported by National Key Basic Research Program of China ("973" Program) (2013CB228604) and National Oil and Gas Major Project (2011ZX05014-001-010HZ)

Abstract:

Surface wave is the main noise inseismic land data. The conventional FKK method with crossing trace gather cannot protect useful information with low frequency. In this paper, we propose a method based on surface wave modeling and curvelet transform to suppress surface waves. The proposed method includes two steps.In the first step, we use surface wave modeling to suppress base order, first order and second order surface wave. In the second step, the curvelet transform is used for residual surface wave removal.Results from filed data examples how that the proposed method can protect useful signals in low-frequency range while removing surface waves, the signal to noise ratio can be improved, and the work flow provides a surface wave suppression method with relative amplitude preserving, especially in the study area.

Key words: surface wave modeling, curvelet transform, surface wave suppression, amplitude preserving denoising

CLC Number: 

  • P631.4

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