Journal of Jilin University(Earth Science Edition) ›› 2017, Vol. 47 ›› Issue (5): 1562-1571.doi: 10.13278/j.cnki.jjuese.201705304

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Seismic Data Time-Frequency Decomposition Based on Local Mean Decomposition

Zhang Xuebing, Liu Cai, Liu Yang, Wang Dian, Gou Fuyan   

  1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China
  • Received:2016-12-07 Online:2017-09-26 Published:2017-09-26
  • Supported by:
    Supported by National Natural Science Foundation of China (41522404, 41430322)

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Abstract: In seismic data analysis, it is a general case that seismic signal always displays nonstationary characteristics because of wave-attenuation effects. By time-frequency decomposition methods, such as short-time Fourier transform, wavelet transform, and empirical mode decomposition, seismic data can be decomposed into a set of stationary components, which are easier to be processed and interpreted. Following this idea, the paper introduces a new method named local mean decomposition (LMD). The LMD method can decompose seismic data into several product functions (PFs). Compared with the intrinsic mode functions (IMFs) by the EMD method, the PFs preserves more details and the mode mixing effect is weaker. The applications to model data and field data show that the LMD method can make the decomposition more properly, and capture the local character of seismic data from different time points.

Key words: local mean decomposition, empirical mode decomposition, time-frequency decomposition

CLC Number: 

  • P631.4
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