Least-squares reverse time migration based on the angular filtering imaging condition
Liu Mengli1,2, Huang Jianping1,2, Li Chuang1,2, Cui Chao1,2, Ren Yingjun1,2
1. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580, China; 2. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong 266071, China
Abstract:On the basis of predecessors' researches,we first analyze the cause of the low frequency noise in the reverse time migration (RTM).Then we deduce the angular filtering imaging condition using the reflection angle information obtained from wavefield data,combine it with the least-square reverse time migration (LSRTM),and develop least-squares reverse time migration based on the angular filtering imaging condition (ALSRTM).The feasibility and amplitude of ALSRTM is analyzed with the energy conservation of wave equation.Numerical test on the international standard SEG-EAGE 2-D salt dome model validates our ALSRTM and proves that the ALSRTM can not only significantly suppress migration artifacts,but also has a better amplitude-preserved capacity compared with those results obtained with the conventional LSRTM.Besides,ALSRTM has a stronger adaptability than the conventional LSRTM in the presence of migration velocity errors.
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