VSP-CDP stack imaging based on the weight function of normal distribution
YANG Feilong1,2, LI Huifeng1, SUN Hui3,4, ZHANG Xue1, LUO Hao1, ZHAO Chi1
1. School of Earth Sciences and Engineering, Xi'an Shiyou University, Xi'an, Shaanxi 710065, China; 2. Key Laboratory of Shaanxi Province Hydrocarbon Geology TIBET, Xi'an, Shaanxi 710065, China; 3. Shandong Key Laboratory of Depositional Mineralization and Sedimentary Minerals, College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, China; 4. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan 611756, China
Abstract:Limited by the geometry,the imaging sections based on migration imaging technique have serious "arc phenomenon" at the edge.VSP-CDP stack imaging method based on ray tracing can realize amplitude-preserved VSP imaging.However,it is difficult to obtain accurate structural imaging and velocity model in complex structure situation.Therefore,a non-zero-offset VSP stack imaging method was proposed in this paper,based on dynamic ray tracing effective neighborhood wave field approximation theory.By studying the nature and characteristics of normal distribution,the weight function based on normal distribution stack was derived and used in VSP stack imaging.All the sampling points in depth-time domain were converted into multiple sampling points of reflection points in offset-depth domain,in order to uniform the fold times of reflection points.Model test and the application in real data demonstrated that the VSP-CDP stack imaging method based on normal distribution weight function improved the VSP imaging precision.
杨飞龙, 李辉峰, 孙辉, 张雪, 罗浩, 赵驰. 基于正态分布权函数的VSP-CDP叠加成像[J]. 石油地球物理勘探, 2020, 55(1): 101-110.
YANG Feilong, LI Huifeng, SUN Hui, ZHANG Xue, LUO Hao, ZHAO Chi. VSP-CDP stack imaging based on the weight function of normal distribution. Oil Geophysical Prospecting, 2020, 55(1): 101-110.
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