Seismic Data Noise - Suppression Technique Based On Blind Source Separation
Wei Wei · Jisuanji fangzhen · 2010
In the field of signal processing,it is very important to separate the noise from the available signal.The seismic data for finding oil is usually contaminated by the noise generated by the working machines around the detectors collecting the seismic signal.Conventional seismic data noise attenuation methods are not suitable for separating available signal from the strong machine noise.Whereas Blind Sourse Separation(BSS) which has been applied widely in some fields,as a new technique,can separate each independent component statistically from the mixed signals.This paper studies the fundamentals and conventional algorithm of BSS,tries to remove the machine noise in seismic data on the base of analyzing the features of seismic data and the machine noise.The results of simulation and the seismic data processing show that BSS has good effect on removing the machine noise and can protect the available signals effectively.In short,BSS has better effect on improving the signal to noise ratio and has a good application perspective.