A high-resolution processing technique for 3-D seismic data based on signal sub-space decomposition
基于信号子空间分解的三维地震资料高分辨率处理方法

This paper proposes a new signal sub-space decomposition(SSD) based technique to improve the resolution of 3-D seismic data processing. By exploiting the SSD technique, we can decompose not only the signal and noise in 3-D seismic data, but also the composite event into single events according to their different dips. After removal of the noise space, we integrate all the reconstructions corresponding to the signal sub-spaces with improved resolution using the spectral whitening technique. Since we only improve the resolution of the signal and remove the noise at the same time, we can improve the resolution and the signal_to_noise ratio (SNR) of the seismic data simultaneously. The application results of the synthetic and real data show our method has a good perspective of applications.