Theoretical framework of elastic internal multiples prediction based on inverse scattering series

Jian Sun, Kristopher A. Innanen

Inverse scattering series has been revealed in extremely powerful capabilities of seismic data processing and inversion, such as full waveform inversion (FWI), direct nonlinear AVO inversion, and surface-related or internal multiples attenuation, due to its property of model independence. Significant benefits have been achieved by performing internal multiple prediction using inverse scattering series in several different domains. Nevertheless, elastic internal multiples remain a significant hazard as multi-component acquisition technology has been widely applied. Unfortunately, for an elastic media, the off-the-shelf internal multiple attenuation is either inadequate or non-existent. By considering an elastic, isotropic and homogeneous media as background, this paper presents a theoretical framework of elastic internal multiple prediction using inverse scattering series.