Deblending Method of Multisource Seismic Data Based on a Periodically Varying Cosine Code

Abstract

Acquisition technology of multisource data has outstanding advantages in enhancing collection efficiency and reducing cost. However, traditional seismic data processes cannot be applied to multisource blended data. Therefore, deblending technology of multisource data is the key to the research. In this letter, we propose a deblending method of multisource seismic data based on a periodically varying cosine code (PVCC). First, we design a PVCC to blend the seismic data. Next, the blending model is transformed into the minimum problem of the objective function. Then, the blended data are decomposed in the curvelet domain. Finally, the main source data are separated based on sparse inversion. Furthermore, we use the edge processing to eliminate the boundary effect in the processed seismic data. The examples of synthetic data and field data are adopted to demonstrate that the proposed method has great potential in the deblending of multisource data. In addition, the edge processing can effectively suppress the boundary effect.