3D multiple elimination plays a fundamental role in marine data processing. 3D SRME algorithm has some manifest advantages with respect to other multiple elimination techniques: in particular its accuracy and its fully data-driven nature that allows the application in the early stages of processing propose it as the benchmark for surface related multiple estimation and elimination. In this abstract we address the problem of the automatic optimization of SRME operator aperture. We exploit the valuable information hidden in the Multiple Contribution Gather to define the summation area that contains the Downward Reflection Points for the different multiple generators. The computation of 3D stacking volumes allows to remove some of the aliasing artifacts that contaminate the estimated multiples. Moreover, as a pleasant side-effect, the overall computational cost of 3D SRME task can be lowered by carefully exploiting this technique. Results on a 3D narrow azimuth dataset prove the correctness and feasibility of the proposed approach.


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