Abstract:The surface wave suppression is one of the most important steps in seismic data processing. However, many surface wave suppression methods damage inevitably the signal because they only consider certain different properties between signal and surface wave. Therefore, a method surface wave joint suppression method based on Shearlet transform and time-time (TT) transform is proposed in this paper. First, effective reflection wave and surface wave distributed mainly in low frequency and high wavenumber are separated by the excellent localized property and the property of directional representation of the high-scale Shearlet basis function. Then, using the excellent identification capability of TT transform, most of surface wave component of low frequency and low wavenumber are suppressed by the filtering in TT domain. After that, according to the more accurate signal extracted by the Shearlet transform, an adaptive time-variant and space-variant filter is designed to remove the residual surface wave. Finally, we transform the data back to time domain without surface wave. Applications on synthetic and real field data show that the proposed method in this paper suppresses surface wave and maintains amplitude and phase information of reflection wave.