Wavefield prediction with inverse scattering series and 2D blind separation of convolved mixtures for suppressing internal multiples
BI Lifei1, QIN Ning1, LI Zhongxiao2, LIANG Hongxian1, LI Zhenchun3, DOU Jingying4
1. Shengli Geophysical Research Institute of Sinopec, Dongying, Shandong 257022, China; 2. College of Electronic Information, Qingdao University, Qingdao, Shandong 266071, China; 3. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580, China; 4. Research Institute of CNOOC Zhanjiang Branch, Zhanjiang, Guangdong 524057, China
Abstract:Multiple suppression is an important step of seismic data processing.The prediction subtraction method based on wave equation is a common one to suppress internal multiples.This method includes two steps: internal multiples prediction and adaptive subtraction.After introducing hypothesis conditions such as step function and finite integral interval,we proposed a simplified formula to simplify the inverse scattering series for predicting internal multiples,and then introducing adaptive subtraction based on 2D blind separation of convolved mixtures to conduct adaptive subtraction with matching filters.Synthetic and field data have de-monstrated that the method is data-driven and independent on a velocity model for predicting internal multiples.Furthermore,compared with the traditional method based on L2-norm and single-channel blind separation of convolved mixtures,the method based on multi-channel blind separation of convolved mixtures can better protect effective primary waves while suppressing internal multiples.
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