Full text loading...
The stimulationeous shooting is an effective method to improve the efficiency,but there is a bottlenect of separation for blending data. In order to solve the problem, the mixed data is sparsely transformed,and the difference between the continuity of the effective signal and the noise in the sparse domain is analyzed. Based on this, the research on the separation method of blending data(simultaneously excited by the well)—the generalized synchrosqueezed compression curvelet transform and the least squares matching filter is carried out. The generalized curvelet transform eliminates the trailing effect caused by the conventional curvelet transform and provides fine multi-directional and multi-scale decomposition for the input blending seismic data. The synchrosqueezed method is used to accurately redistribute the energy of the anisotropic local wave vector. Takes the least square matched filter as a regular constraint, the generalized synchrosqueezed curvelet transform separates the effective signal from the adjacent shot interference noise with better resolution and higher fidelity. The separation technology also used for real seismic data, the result showed that the technique can separate the blending seismic data and maintain the effective signal without damage.