3D deblending for marine towed-streamer data

Marine towed-streamer blended data are usually difficult to deblend because of the low dimensionality of the data. While the present OBC surveys produce well-sampled 3D receiver gathers, towed-streamer data has a lower sparsity in the transformed f − k domain. In this abstract, we propose extending the 2D deblending of towed-streamer data to 3D deblending, which considers the shot domain a sparsity-constrained domain. We compare the sparseness of the 2D and 3D FFT transformed domains by drawing the coefficients decaying curves. The 3D FFT transformed domain is much sparser than the 2D FFT transformed domain according to the sparseness comparison. Thus, 3D deblending can obtain obviously better performance than 2D deblending. We use two synthetic examples with different complexity to demonstrate the superior performance of the proposed 3D approach.