结构增强扩散在地震资料构造解释中的应用

英文篇名：Application of structure enhancement diffusion to seismic data interpretation
中文刊名：成都理工大学学报(自然科学版)
英文刊名：Journal of Chengdu University of Technology(Science & Technology Edition)
作者：钟勇 ; 王山山 ; 陈磊
英文作者：ZHONG Yong1 ; WANG Shan-shan2 ; CHEN Lei3 1.State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Chengdu University of Technology ; Chengdu 610059 ; China ; 2.College of Information Engineering ; Chengdu University of Technology ; Chengdu 610059 ; China ; 3.Chuanqing Drilliug Engineeity co. ; Ltd. ; Chengdu 610051 ; China
中文关键词：地震资料 ; 结构增强扩散 ; 各向异性扩散 ; 双边滤波
英文关键词：seismic data ; structure enhancement diffusion ; anisotropic diffusion ; bilateral filtering
出版日期：2011-04-15
机构："油气藏地质及开发工程"国家重点实验室(成都理工大学);成都理工大学信息工程学院;川庆钻探工程有限公司地质勘探研究院;
年：2011
期：02
出版单位：成都理工大学学报(自然科学版)

摘要

为了提高地震资料构造解释的效率和准确性,提出结构增强扩散方法提高地震资料质量。将地震资料转换为地震图像,通过提取地震图像结构张量,使用双边滤波器求取梯度值,结构增强扩散方法根据地震图像纹理不连续的方向和强度信息自动判断阈值,实现在断点处保持不连续特征的同时,增强地震同相轴的连续性,从而提高地震图像横向分辨率和突出地震资料中的构造特征。应用结果表明,结构增强扩散处理能够提高地震图像复杂构造的显示效果,有助于提高构造解释精确度,并且能够提高计算机自动解释的合理性。
To improve the efficiency and accuracy of the seismic structure interpretation,a method of diffusion is put forwaed to enhance the seismic image quality.The method converts the seismic data to seismic image,and then extracts structure tensor from the seismic image.With the gradient obtained by bilateral filter,the structure enhancement diffusion can preserve the orientation and magnitude of the discontinuities without needing threshold switches.The structure enhancement diffusion the allows the noise to remove and the structure to enhance cohen enhancing the discontinuity and coherency along the strata.The results applied show that the technique facilitates seismic image enhancement for structure interpretation and improves visualization of the complex tectonic style.

引文

[1]Bajaj C,Wu Q,Xu G.Level-set based volumetric ani-sotropic diffusion for 3dimage denoising[R].Austin:The University of Texas,2003:3-10.
    [2]Weickert J,Hagen H.Visualization and Image Processing of Tensor Fields[M].Berlin:Springer,2006:17-47.
    [3]Perona P,Malik J.Scale-space and edge detection u-sing anisotropic diffusion[J].IEEE Transaction onPattern Analysis and Machine Intelligence,1990,12(7):629-639.
    [4]孙夕平,杜世通,汤磊.相干增强各向异性扩散滤波技术[J].石油地球物理勘探,2004,39(6):651-655.
    [5]Hcker C,Fehmers G.Fast structural interpretationwith structure-oriented filtering[J].Geophysics,2003,4(68):1286-1293.
    [6]陈凤,李金宗,李冬冬,等.提高地震图像信噪比的非线性各向异性扩散算法模型[J].石油勘探与开发,2004,31(02):77-80.
    [7]Aurich V,Weule J.Non-linear Gaussian?lters per-forming edge preserving diffusion[J].Proceedings ofDAGM Symposium,1995,17:538-545.
    [8]Canny J.A computational approach to edge detection[J].IEEE Transactions on Pattern Analysis and Ma-chine Intelligence,1986,8(6):678-698.
    [9]Mrázek P.Nonlinear Diffusion for Image Filtering andMonotonicity Enhancement[D].Prague:Czech Tech-nical University,2001.
    [10]韩春明,郭华东,王长林,等.一种改进的SAR图像斑点噪声滤波方法[J].遥感学报,2004,8(2):121-127.