The method of weak seismic reflection signal processing and extracting based on multitrace joint compressed sensing

On the basis of discussing the sparse reconstruction of the combined compressed sensing and the characteristics of the seismic signals, this paper studies decomposition modeling using wavelet analysis and combining sparse public part and special part. Because the algorithms of distributed compressed sensing and their applications are difficult to implement in practice, this paper proposes a multitrace seismic data compression reconstruction method. The key problems of the quality of sparse reconstruction, such as sparse degree, sparse matrix, are studied. Combining with the characteristics of vertical and horizontal seismic signal, we studied the method of choosing sparse degree and guidelines. We also analyze and discuss the types and characteristics of sparse matrix in terms of the ability of revealing the geological information. Finally, we form the multitrace joint compressed sensing new method for seismic data reconstruction. By processing with this method and the comparison of calculation results, new ideas and conclusion are obtained and actual data processing is effective.