Abstract: Owing to the limitation of the conventional Fourier transform filtering and FK filtering methods in suppressing surface wave, we provided in this paper a surface wave suppression method based on two-dimensional wavelet transforms and the basic characteristics of the wavelet. Upon the basis of comparative analysis of various types of wavelet, we selected one from the others for low frequency surface wave suppression. Through the two-dimensional wavelet, decomposition can be used to convert seismic data into the four dimensional domains of time, space, frequency and wave number, and then conduct a high-pass filtering to the low frequency and high wave number component. As the result, reconstruction of seismic data and processing after the suppression of surface wave results are obtained. The theoretical simulation of the record and low frequency seismic data processing show that the denoising is effective. It can protect the low frequency effect wave effectively during the process to suppress the low frequency wave at the same time.