Internal multiple attenuation based on inverse scattering II: implementation in physical model data

Melissa Hernandez, Kris Innanen and Joe Wong


Multiple reflections represent a serious problem in the field of seismic processing. Multiple events can be mistaken for primary reflections, disturbing the task of seismic interpretation. In this work, we will focus in the suppression of internal multiples and we will illustrate how the inverse scattering internal multiple algorithm introduced by Weglein and Araujo in 1994, is able to attenuate internal multiples without any a priori information about the medium through which the waves propagate. One of the advantages of this method over others is its ability to suppress multiples that interfere with primaries without attenuating the primaries themselves. We consider the version of the algorithm for 1D normal incidence. This algorithm predicts internal multiples from other events in the data by performing a convolution and a crosscorrelation of prestack data. In this work we studied physical modeled data and found that algorithm works satisfactorily, predicting multiples with the correct time and the amplitude is reasonably similar.

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