Dual-tree complex wavelet domain bivariate method for seismic signal random noise attenuation

作者：Wang Jin-Ju^*; Yuan Li; Liu Wan-Ru; Xu Xiao-Hong

来源：Acta Geophysica Sinica, 2016, 59(8): 3046-3055.

DOI：10.6038/cjg20160827

• Dual-tree complex wavelet transform
• Random noise
• Bivariate model
• Wavelet coefficients

Seismic signal noise attenuation is important in processing and interpreting seismic signal subsequently. Two dual-tree complex wavelet domain bivariate methods for seismic signal random noise attenuation are proposed. After the dual-tree complex discrete wavelet transform, the real and imaginary parts of the wavelet coefficients have dependency in the same direction. The real or imaginary parts and the corresponding magnitudes of the wavelet coefficients have dependency in the same direction. So we construct the bivariate model for the real and imaginary parts in the same direction. Using the model the wavelet coefficients of the original seismic signal are estimated. The denoised seismic signal is achieved based on the dual-tree complex wavelet inverse transform. The proposed algorithm is also extended to the real or imaginary parts and the corresponding magnitudes of dual-tree complex wavelet coefficients in the same direction. Through experiments on the synthetic seismic record and the field seismic data, the results demonstrate that the proposed two methods can attenuate random noise effectively.

• 出版日期2016-8
• 单位合肥工业大学