Synchronous interpolation and denoising in simultaneous-source data separation

Much concern has been given to the simultaneous shooting because this acquisition design can improve acquisition efficiency largely. However, there are many factors affecting the acquisition quality in seismic exploring field. First of all, the seismic records may include some adjacent shot gathers destroying the seismic records. Secondly, some blank traces will be contained in records because of the complex acquisition environment; last, the disturbance around the survey field will introduce random noise which will contaminate the seismic record. The three cases mentioned above have been studied by many researchers separately before. On the basis of sparse constrained inversion we will accomplish these three cases simultaneously. To a large extent, it will increase the efficiency of the seismic data processing and improve the SNR. In this paper, we apply the simulated dataset and real dataset respectively to verify our method and have achieved promising results.