Implementation of predicting elastic internal multiples based on inverse scattering series: synthetic results

Jian Sun, Kristopher A. H. Innanen

Prediction and removal internal multiples is an increasingly high priority task in seismic data processing, due to the increased sensitivity with which primary amplitudes in quantitative interpretation are now analyzed, however, remains to be a big challenge. The more geological model we build approach to real, the more precise the prediction algorithm can be achieved. In a companion paper (Sun and Innanen, 2016d), we proposed a theoretical framework of elastic internal multiples prediction using inverse scattering series, which works for an elastic isotropic medium. In this paper, we investigate how to prepare the input, and concentrate on how to implement the elastic internal multiples prediction algorithm, using the seismic data generated from an elastic isotropic synthetic model. The analysis of the estimated result is also being examined.