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Deblending Via a Hybrid Focal and Linear Radon Transform
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 77th EAGE Conference and Exhibition 2015, Jun 2015, Volume 2015, p.1 - 5
Abstract
While blended/simultaneous source shooting is gaining acceptance as a seismic acquisition paradigm, traditional processing tools still expect unblended data as an input. Separating the blended wavefields becomes then a necessary part of the processing chain. We propose an inversion-type deblending algorithm. The forward model to be inverted is based on a combination of the focal and the linear Radon transforms. This combination can enable sparse representation of both curved and linear events. The deblended solution is given by solving a basis pursuit denoising problem with a weighted l1-norm penalty. The performance of the algorithm is tested on numerically blended field data. It can be seen that fairly good deblending can be achieved with a small number of focal operators in combination with the linear Radon operator.