压缩感知在非重复时移地震处理中应用研究OACSCD

Owing to differences in azimuth and offset,seismic data acquired without repetition geometry are not conducive to time-shift seismic comparison.Therefore,consistency processing should be carried out before time-shift comparison.Compressed sensing technology can reconstruct seismic data while improving its sig-nal-to-noise ratio(SNR),enabling consistent SNR and effective fold normalization across different seismic surveys.In this paper,early three-dimensional(3D)towed streamer seismic data and recent ocean bottom cable(OBC)mul-ticomponent seismic data from a region in the South China Sea are studied for nonrepetitive time-shift data pro-cessing.First,the portion of the OBC data with azimuth and offset values overlapping those of the towed streamer data is extracted,and the azimuth and offset of the towed streamer data are normalized accordingly.Then,the com-pressed sensing data reconstruction method is used to normalize the fold and SNR of the two datasets and compare them with those obtained using the five-dimensional interpolation method.Finally,the two normalized datasets are analyzed through time-shift comparisons.The results showed that compressed sensing data reconstruction can im-prove and normalize the coverage times and SNR of the two seismic datasets and achieve the purpose of time-shift comparison;thus,this approach is better than the five-dimensional interpolation method.Overall,the compressed sensing data reconstruction method can normalize the fold and SNR of OBC and 3D towed streamer data,realize the nonrepetitive time-shift seismic consistency study,reduce the time-shift seismic cost,and provide a basis for the subsequent nonrepetitive time-shift seismic exploration with multicomponent data.