空间方向谱估计CLEAN算法及其在地震数据处理中的应用  

CLEAN algorithm for spatially directional spectrum estimation and its application in seismic data processing

作　　者：孙维蔷 王华忠[1] 符琼琲 

机构地区：[1]同济大学海洋与地球科学学院波现象与反演成像研究组,上海200092

出　　处：《石油地球物理勘探》2017年第1期20-26,共7页Oil Geophysical Prospecting

基　　金：国家重点基础研究"973"发展计划项目(2011CB201002);国家科技重大专项(2011ZX05005-005-008HZ)联合资助

摘　　要：传统的射线束形成方法存在泄漏噪声和分辨率低的问题。为此,引入CLEAN算法,以空间方向谱作为反演解的评价准则,实现高分辨率的射线束形成。利用聚类和定位方法,进一步提高了常规CLEAN算法的空间分辨率,使该方法能更好地应用于实际地震资料去噪。理论数据和实际资料的应用结果表明,该方法可以有效压制泄漏噪声,同时提高射线束的分辨率。与传统的局部倾斜叠加和最小二乘意义下的射线束形成方法相比,文中方法具有明显的理论优势和较好的应用价值。Conventional beam forming methods suffer from noise leakage and low resolution.So we introduce the CLEAN algorithm to realize the high-resolution beam forming.The algorithm utilizes the spatially directional spectrum as criteria to evaluate the solutions of the inverse problem.The clustering and locating algorithms are utilized to further improve the spatial resolution of the conventional CLEAN algorithm,and hence the proposed method is better applied on field data denoising.Tests on synthetic and field data prove that the proposed method can suppress leaking noise and enhance the resolution of beam forming.Compared with the conventional slant stacking and beam forming methods in a least-squares sense,the proposed method is significantly superior in theory and also valuable in practical application. © 2017, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.

关 键 词：空间方向谱 协方差矩阵 CLEAN算法 聚类和定位 面波压制 

分 类 号：P631[天文地球—地质矿产勘探]