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Journal of Petroleum Exploration and Production Technology

, Volume 7, Issue 2, pp 353–359

First Online: 23 July 2016Received: 24 March 2016Accepted: 16 July 2016DOI: 10.1007-s13202-016-0272-4

Cite this article as: Meng, K., Li, J. & Li, Y. J Petrol Explor Prod Technol 2017 7: 353. doi:10.1007-s13202-016-0272-4


This paper presents a novel method for seismic signal denoising based on the dual-tree complex wavelet transform. The advantages of shift invariance, adequate directions and anti-aliasing enable the dual-tree complex wavelet to effectively represent seismic data. However, the fixed threshold in each sub-band leads to the attenuation of the useful signal or residual noise. In this paper, noise attenuation strategies are discussed for all sub-bands in different directions and scales. In this approach, block matching is combined with singular value decomposition to handle the noisy coefficients in high-frequency scales based on local and non-local similarity. An adaptive threshold is used to divide the signal from the noise at low-frequency scales. The method is applied to synthetic seismic data and field data to verify its performance. The experimental results illustrate that the proposed method improves the signal-to-noise ratio by 3–4 dB compared with fixed threshold denoising in all sub-bands.

KeywordsSeismic signal Dual-tree complex wavelet transform Block matching Singular value decomposition 

Autor: Kexin Meng - Juan Li - Yue Li


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