Optimistic wavelet basis selection in seismic signal noise elimination
Zhang Hua1,2, Chen Xiao-hong1, Yang Hai-yan2
1. State Key Lab of Oil & gas Resource,China University of Petroleum,Beijing City,102249,China;
2. Education Ministry Key Lab of Nuclear Resource and Environment,East China University of Technology,Nanchang City,Jiangxi Province,330013,China
Abstract:The effect of utilizing wavelet technology to conduct seismic signal noise elimination is related to selection of optimistic wavelet basis.The effect of using wavelet technology to eliminate the noise in seismic signal is related to the selection of optimal wavelet basis.Based on the analysis of characteristics of seismic signal,the paper discussed the selection criterion of wavelet basis theoretically,conducted the correlation and selection of wavelet basis from the test view and finally presented the suggestion that different wavelet basis function should be selected in decomposition and reconstruction of wavelet transform to assure the accuracy of the reconstructed signal and enhance the processing capability for seismic signal.The new approach changed the past routine way that the same wavelet basis function was used in decomposition and reconstruction of wavelet transform.The bior2.4 wavelet basis which is suitable for seismic signal noise elimination is finally selected in this paper.The correlation results of field seismic data processing show that applying the bior2.4 wavelet basis in seismic data processing not only achieves the better effect of noise elimination,but can extract the effective component of low and high frequency seismic signal from result data,broaden effective frequency and raise the resolution and S/N ratio of seismic signal.