Energy-stack imaging with structural dip constraint
Yuan Maolin1,2, Huang Jianping1, Li Zhenchun1, Zhang Jiguang3, Zhao Shengtian3
1. School of Geosiences, China University of Petroleum(East China), Qingdao, Shandong 266580, China;
2. SINOPEC Exploration Company, Chengdu, Sichuan 610041, China;
3. Geophysical Research Institute, Shengli Oilfield Branch Co., SINOPEC, Dongying, Shandong 257000, China
Abstract:According to noise response characteristics of reflected waves and diffracted waves in the dip-angle domain common image gathers(DDCIG), we propose in this paper an energy-stack imaging approach with structural dip constraint. First we extract DDCIGs with Gaussian beam prestack depth migration, and identify noise, reflection and diffraction energy on low S/N data. Then we divide stack blocks by combining migration sections and geological information in the exploration areas. Finally we stack available energy with structural dip constraint. The proposed approach is tested on Marmousi model data and field data. And the test results suggest:A. This approach can effectively suppress migration noise and improve seismic S/N; B. This approach improve event continuity; C. This approach provides a friendly interactive function for processing control quality and parameter selection.
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