基于倾向扩散因子的SOF地震图像增强方法

英文篇名：SOF seismic image enhancement method based on the dip diffusion factor
中文刊名：石油地球物理勘探
英文刊名：Oil Geophysical Prospecting
作者：杨宁 ; 贺振华 ; 文晓涛 ; 黄德济 ; 陈婷
英文作者：Yang Ning1 ; He Zhen-hua1 ; 2 ; Wen Xiao-tao1 ; 2 ; Huang De-ji2 and Chen Ting3.1.State Key Lab of Reservoir Geology and Development Engineering ; Chengdu Univesity of Technology ; Chengdu City ; Sichuan Province ; 610059 ; China 2.College of Information Engineering ; Chengdu Univesity of Technology ; Chengdu City ; Sichuan Province ; 610059 ; China 3.Tianfu College ; Southwestern University of Finance and Economics ; Mianyang City ; Sichuan Province ; 621000 ; China
中文关键词：地震图像增强 ; 地震资料解释 ; 构造方向滤波 ; 倾向扩散因子 ; 各向异性扩散算子 ; 目标构造
英文关键词：seismic image enhancement ; seismic data interpretation ; filtering in structure direction ; diffusion factor ; dip diffusion factor ; anisotropy diffusion factor ; target structure
出版日期：2010-12-15
机构：成都理工大学油气藏地质与开发工程国家重点实验室;成都理工大学信息工程学院;西南财经大学天府学院;
年：2010
期：06
出版单位：石油地球物理勘探

摘要

本文从增强地震图像、突出地震几何属性的角度出发,提出了一种基于倾向扩散因子的构造方向滤波(SOF)地震图像增强方法。该方法首先用复数道信息估算出倾向,并利用倾向信息对地震图像的不连续性进行检测,进而求出倾向扩散因子和构造张量,最后用各向异性扩散算法对地震剖面进行平滑。实际资料的应用结果表明,该方法不仅具有较强的抑制噪声能力,而且增强了侧向反射同相轴的连续性,有利于解释人员提取有用的地震几何属性,精细地解释地下目标构造。
In order to enhance the seismic image and highlight the seismic geometric attributes,a SOF seismic image enhancement method based on the dip diffusion factor was proposed in this paper.The complex channel information was firstly used to estimate the dip information,with which the discontinuity of the seismic image was detected,then the dip diffusion factor and the structure tensor were estimated,and at last the anisotropy diffusion algorithm was used to smooth the seismic sections.The application results of the field data show that the method not only has a strong ability to suppress noise,but also could enhances the continuity of the lateral reflection events,the method is also conducive for the seismic interpreter to extract useful seismic geometric attributes,and to finely interpret the subsurface target structures.

引文

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