ooting due to this acquisition design can improve acquisition efficient largely. However, noise caused by simultaneous sources will affect the acquisition quality. Consequently, it is very import to attenuate this kind of noise for further processing. Recently, there are two main methods to suppress this noise: one approach is taking the deblending process as filtering; The other is applying an inversion to subtract the noise. Besides, maybe there are some lost seismic channels in acquisition process and these lost channels will lead to more influence than traditional acquisition method. This paper presents an inversion method that can solve the de-noising, deblending and interpolation problems in one step. In this way, the work efficiency will be further improved.


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