A New Method of Single Frequency Noise Suppression in Prestack Seismic Data
Lyu Wenbia · Journal of Oil and Gas Technology · 2014
In consideration of the defects ofcompletely avoidingsimilar frequency in single frequency noise removal in routine notch processing,a new method based on independent component analysis(ICA)was proposed for suppressing single frequency noise in prestack seismic data.In accordance with the principle of statistic independence for multiple prestack seismic observation data,non-zero time lag′s covariance was used firstly in the method,and the impact of partial additional noise was successfully removed by using approach of two-step eigenvalue decomposition(EVD),and the source signal of single frequency noise was better separated with ICA algorithm.The improved ICA algorithm could be used to effectively overcome the impact of additional noise on conventional ICA algorithm for better separating the source signal of single frequency noise from the prestack seismic data,for suppressing the single frequency noise in prestack seismic data with independent component analysis,thus the effective wave having the same band range of noise could be better protected for improving the SNR of the prestack seismic data.The simulation experiment and actual seismic data processing show that the method has good effect of application,and it can better meet the needs of actual production.