Seismic noise suppression based on empirical wavelet transformation

doi:10.3969/j.issn.1672-7703.2018.05.013

China Petroleum Exploration ›› 2018, Vol. 23 ›› Issue (5): 100-110.DOI: 10.3969/j.issn.1672-7703.2018.05.013

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Seismic noise suppression based on empirical wavelet transformation

Qin Fabin¹, Xu Zhenwang², Chuan Xiaoyu³, Zhang Xiaoming⁴, Guo Naichuan⁵, Dong Yuwen⁶, Chen Wei⁷

1 School of Management, Yangtze University;
2 Research Institute of Exploration and Development, PetroChina Liaohe Oilfield Company;
3 Hebei Coal Science Research Institute;
4 BGP Dagang Division, CNPC;
5 Bohai Petroleum Research Institute, Tianjin Branch of CNOOC Ltd.;
6 Seismic Data Processing Center of GRI, BGP, CNPC;
7 Hubei Cooperative Innovation Center of Unconventional Oil and Gas

Received:2017-11-22 Revised:2018-07-19 Online:2018-09-15 Published:2018-09-15
Supported by:

Abstract

Abstract: Noise suppression is an important step in seismic data processing. However, the applicable denoising methods cannot remove noise effectively, or process nonlinear or unstable signals. The Empirical Wavelet Transform (EWT) developed recently is an adaptive decomposition algorithm which has better adaptability and more complete mathematical theory than the Empirical Mode Decomposition (EMD). The EWT algorithm is introduced into seismic data for noise suppression. Firstly, a suitable wavelet function is selected which adaptively decomposes target seismic signals to get intrinsic mode functions at different frequency scales. Secondly, a threshold range is set based on the dominant frequency and the intrinsic mode functions whose dominant frequencies are within the threshold range are selected to reconstruct signals and finally get denoised signals. Application of the EWT algorithm to numerically simulated data and real seismic data has proved effective separation of signals from noises, and the result is better than those from conventional denoising algorithms.

Key words: empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), empirical wavelet transformation (EWT), intrinsic mode function (IMF), denoising

CLC Number:

Qin Fabin, Xu Zhenwang, Chuan Xiaoyu, Zhang Xiaoming, Guo Naichuan, Dong Yuwen, Chen Wei. Seismic noise suppression based on empirical wavelet transformation[J]. China Petroleum Exploration, 2018, 23(5): 100-110.

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Seismic noise suppression based on empirical wavelet transformation

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