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基于面波模拟和曲波变换的去噪技术
引用本文:崔永福,李国发,吴国忱,尚帅,赵锐锐,罗莉莉.基于面波模拟和曲波变换的去噪技术[J].吉林大学学报(地球科学版),2016,46(3):911-919.
作者姓名:崔永福  李国发  吴国忱  尚帅  赵锐锐  罗莉莉
作者单位:1. 中国石油大学(华东)地球科学与技术学院, 山东 青岛 266580; 2. 中国石油塔里木油田公司勘探开发研究院, 新疆 库尔勒 841000; 3. 中国石油大学(北京)地球物理与信息工程学院, 北京 102249
基金项目:国家重点基础研究发展计划(国家“973”计划)项目(2013CB228604),国家油气重大专项(2011ZX05014-001-010HZ)Supported by National Key Basic Research Program of China ("973" Program) (2013CB228604) and National Oil and Gas Major Project(2011ZX05014-001-010HZ)
摘    要:面波是陆上地震资料的主要干扰噪声,目前主要采用基于十字交叉排列的FKK(频率-波数-波数)面波压制技术;但其效果不理想,会损害部分有效信号的低频能量。针对此问题,提出一种面波模拟和曲波变换联合压制面波的技术。首先利用面波模拟逐级压制基阶、一阶和二阶面波;然后,再采用曲波变换方法压制残余面波。实际地震资料的处理结果表明:与三维FKK滤波相比,本文所述方法在压制面波的同时,能够保持反射波的低频信息,提高了信噪比。该技术是一种相对保幅的压制面波方法。

关 键 词:面波模拟  曲波变换  面波压制  保幅去噪  
收稿时间:2015-08-30

Seismic Denoising Technique Based on Surface Wave Modeling and Curvelet Transform
Cui Yongfu,Li Guofa,Wu Guochen,Shang Shuai,Zhao Ruirui,Luo Lili.Seismic Denoising Technique Based on Surface Wave Modeling and Curvelet Transform[J].Journal of Jilin Unviersity:Earth Science Edition,2016,46(3):911-919.
Authors:Cui Yongfu  Li Guofa  Wu Guochen  Shang Shuai  Zhao Ruirui  Luo Lili
Institution:1. School of Geosciences, China University of Petroleum(Huadong), Qingdao 266580, Shandong, China;
2. Research Institute of Exploration and Development, Tarim Oilfield Company, PetroChina, Korla 841000, Xinjiang, China;
3. College of Geophysics and Information Engineering, China University of Petroleum, Beijing 102249, China
Abstract:Surface wave is the main noise inseismic land data. The conventional FKK method with crossing trace gather cannot protect useful information with low frequency. In this paper, we propose a method based on surface wave modeling and curvelet transform to suppress surface waves. The proposed method includes two steps.In the first step, we use surface wave modeling to suppress base order, first order and second order surface wave. In the second step, the curvelet transform is used for residual surface wave removal.Results from filed data examples how that the proposed method can protect useful signals in low-frequency range while removing surface waves, the signal to noise ratio can be improved, and the work flow provides a surface wave suppression method with relative amplitude preserving, especially in the study area.
Keywords:surface wave modeling  curvelet transform  surface wave suppression  amplitude preserving denoising
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