Abstract

Summary The attenuation of internal multiple energy on land data is still one of the most challenging tasks in seismic data preprocessing. Low data quality and lack of velocity information of complicated structure (especially in near surface) on land data often result in poor predictions in many cases. Inverse Scattering Series (ISS) internal multiple attenuation is a very promising algorithm to attenuate internal multiple energy on land seismic exploration data. The key characteristic of this ISS-based methods is that they do not require any information about the subsurface, i.e., they are fully data driven. Internal multiples from all possible generators are predicted simultaneously from the input data. In this paper we apply Inverse Scattering Series (ISS) internal multiple attenuation algorithms on a land seismic data from Canada.

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