Simultaneous deghosting and wavelet estimation via blind deconvolution

• A deghosting method based on multichannel blind deconvolution technique is proposed.
• The method can remove source and receiver side ghosts.
• Source wavelet is estimated at the same time as deghosting.
• The method is not sensitive to notch frequencies.
• The spatial correlation of the data is considered as well as its temporal one.

Seismic deconvolution and deghosting are common methods for increasing the temporal resolution of marine seismic data. In this paper, we employ the advantages of multichannel blind deconvolution technique to obtain a deghosting algorithm for source and receiver side ghost elimination. The advantage of the proposed algorithm is two fold: first, it uses the correlation between the information contained in neighboring traces to stabilize the deghosting process while deconvolving the data in a blind fashion. Second, an estimation of the source wavelet is simultaneously provided by the inversion process. A fast algorithm is provided to solve the inverse problem by using the split Bregman iteration. Numerical results from simulated and field seismic data confirm the effectiveness of the proposed algorithm for automatic deghosting and deconvolution of marine data while being able to recover complex mixed-phase source wavelets.