一种基于L1-L1范数稀疏表示的地震反演方法

石战战, 夏艳晴, 周怀来, 王元君, 唐湘蓉

Seismic reflectivity inversion based on L1-L1-norm sparse representation

Zhan-Zhan SHI, Yan-Qing XIA, Huai-Lai ZHOU, Yuan-Jun WANG, Xiang-Rong TANG

图2 随机噪声敏感度对比 a、b、c、d—传统算法反演结果;e、f、g、h—L1-L1范数稀疏表示反演结果;由上到下随机噪声强度分别为0%、1%、5%和10%

Fig.2 Comparison of random noise sensitivity a、b、c、d—inversion results of traditional algorithms;e、f、g、h—inversion results of L1-L1 norm sparse representation;random noise intensities from top to bottom are 0%,1%,5% and 10%,respectively