Nonlinear Deghosting Based on the T-matrix Method

As the development of the seismic exploration, the marine acquisition with towed streamers becomes an important procedure for seismic data acquisition. While because of the presence of the air-water reflective interface, the generated surface-related multiples, especially the ghosts, can affect the performance of the following seismic data processing. Therefore, we derive the deghosting algorithm using the Transmission matrix (T-matrix) method, including all scattering effects, which is convergent absolutely, instead of the inverse scattering series method which sometimes exists divergence. Then, layered synthetic data is used to prove the effectiveness of the proposed method and its robustness is also tested using the noisy synthetic data. Finally, the complicated data from the open SMAART Pluto model is used to further demonstrate the validity of the proposed method. Different examples demonstrate the validity of the proposed method. While the proposed method is currently used in the 2D constant depth streamer cases which requires the accurate depth information, and the extension into the variable depth streamer cases and the 3D cases is left for the future research.