Deblending using a high-resolution radon transform in a common midpoint domain

Abstract

The advantages of simultaneous sources acquisition are weakened by blended noise. Many conventional filtering methods are ineffective due to the existence of coherent blended noise in common shot gather (CSG). However, the coherent interference appears to be incoherent in a common midpoint (CMP) domain. In light of this characteristic, we propose a high-resolution radon transform based deblending approach. There are four steps for the implementation: (1) transform the original data from a CSG domain to a CMP domain; (2) apply the high-resolution radon transform to CMP gather to obtain the radon spectrum; (3) filter the radon spectrum with iterative threshold method; (4) transform the filtered data from the radon domain back to time spatial domain. The key step of the proposed method is to obtain the high-resolution radon spectrum to which the threshold filtering is applied. We give synthetic and field data examples to show the effectiveness of our approach.