Ye Yueming1, Zhao Changlei1,2, Yao Genshun1, Hu Bin1, Zhuang Xijing1, Zhang Xuegang3
1. Hangzhou Research Institute of Geology, PetroChina, Hangzhou, Zhejiang 310023, China;
2. Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China;
3. Engineering Technology Institute, Yangtze University, Jingzhou, Hubei 434000, China
Abstract:For interbed multiple with SRME (surface-related multiple elimination), one can think of extending SRME method to interbed multiple predicting (IMP) by applying a full wave-filed redatuming or CFP operator continuation to a interbed multiple generating boundary,however,the velocity-depth model between surface and the layer generating multiple is needed. With the data-driven interbed multiple prediction algorithm, interbed multiple was decomposed into three wave-field components, which are the primaries, primaries of the layer which generating interbed multiple and the reflections below the interbed multiple generating layer. The cross-correlation and convolution of these three wave-fields can predict interbed multiple. The second and third component can be easily obtained by muting, and the first component can be obtained based on least-square energy criterion adaptive algorithm like SRME. Initial value of the first component is the same as the third components,so this method is completely data-driven. Model test shows this method can predict interbed multiple effectively.