Separation of simultaneous source data via 2D synchrosqueezed curvelet transform

The simultaneous source data acquisition has become a trend because this acquisition method has the advantages of high efficiency and low cost. Then how to separate the overlapped seismic data becomes a new problem that must be solved. The synchrosqueezed curvelet transform is presented as an alternative tool to separate blended banded wave-like components. We have developed the synchrosqueezed curvelet transform algorithm to separate the overlapped seismic data in this paper. Both numerical example and real data show that the overlapped seismic data in x-t domain can be clearly separated in curvelet domain with the synchrosqueezing technique and clustering technique.