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摘要
Classical Radon transform cannot preserve the amplitude versus offset (AVO) phenomena of primary when eliminating multiples, the remnant energy of multiples and the amplitude distortion of the primary will have great impact on the future seismic inversion and seismic interpretation. In order to solve these problems, an algorithm has been developed to model reflections with AVO via the amplitude preserving Radon transform. The algorithm is a modification of the classical sparse Radon transform and splits the seismic gather into two Radon gathers: one gather models the strength of the reflections at zero offset, the other one adds capability to model the AVO signature. The algorithm not only considers the shape of events as parabolas but also the energy variation of events when performing the Radon transform. It can effectively transforms the reflections to the Radon domain, easily eliminate the multiples and more accurately get the primaries. The new amplitude preserving Radon operator is inverted using the Iterative Reweight Least Square (IRLS) algorithm. Our synthetic and real data examples show an improvement with respect to the classical sparse Radon transform at the time of estimating primaries with reduced amplitude distortion and preserved AVO phenomena.
- 出版日期2014-6
- 单位中国石油大学（北京）
