Deblending of marine field simultaneous source data based on the seislet transform

Abstract

In a simultaneous source survey, the source firing time interval is not limited by the shot record recording time and thus a huge acquisition efficiency can be obtained. However, the price to be paid is that the recorded seismic data is contaminated by strong blending interference and extra processing effort is needed to separated the blended wavefields. Central to the deblending approach described in this paper is the seislet transform, which is used to map the blended data such that, under a sparseness constraint, the blended components are mapped to different regions in the seislet domain and can be separated. Within the seislet transform, the local slope map needs to be calculated for the prediction and updating operations. However, it is difficult to estimate local slopes in the presence of strong noise, especially for blended data. Therefore, in this paper, we propose a novel deblending flowchart based on an iterative seislet deblending process. A real blended marine data example demonstrates its effectiveness for the purpose of deblending.