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基于能量比的Curvelet阈值迭代面波压制
引用本文:李继伟,刘晓兵,周俊骅,简世凯,曾珍. 基于能量比的Curvelet阈值迭代面波压制[J]. 石油地球物理勘探, 2019, 54(5): 997-1004. DOI: 10.13810/j.cnki.issn.1000-7210.2019.05.007
作者姓名:李继伟  刘晓兵  周俊骅  简世凯  曾珍
作者单位:1. 东方地球物理公司西南物探研究院, 四川成都 610000;2. 中国石油西南油气田勘探开发研究院, 四川成都 610000;3. 中国石油大学(华东)地球科学与技术学院, 山东青岛 266580
基金项目:本项研究受中国石油集团东方地球物理公司科研专项“叠前去噪及高分辨率处理新技术研究与应用”(12-19-04-2018)资助。
摘    要:利用Curvelet变换压制面波的效果受面波与有效波在Curvelet域重叠程度影响。实际应用中,Curvelet变换并不能完全分离面波与有效波。鉴于此,提出一种基于能量比的Curvelet阈值迭代面波压制方法,利用面波与有效波在频率、速度、方向上的特征差异,将有效波与面波在Curvelet域进行不同频带的多次分解;在不同尺度和方向上,根据面波与有效波的分布特征,采用不同的阈值进行多次迭代。实际应用效果表明,相对于传统面波压制方法,本文方法可更彻底地分离面波与有效波,获得高品质去噪资料。

关 键 词:Curvelet变换  面波  去噪  多尺度  多方向  
收稿时间:2018-12-18

A Curvelet threshold iteration method based on energy ratio for surface-wave suppression
LI Jiwei,LIU Xiaobing,ZHOU Junhua,JIAN Shikai,ZENG Zhen. A Curvelet threshold iteration method based on energy ratio for surface-wave suppression[J]. Oil Geophysical Prospecting, 2019, 54(5): 997-1004. DOI: 10.13810/j.cnki.issn.1000-7210.2019.05.007
Authors:LI Jiwei  LIU Xiaobing  ZHOU Junhua  JIAN Shikai  ZENG Zhen
Affiliation:1. Southwest Branch, GRI, BGP Inc., CNPC, Chengdu, Sichuan 610000, China;2. Exploration and Development Research Institute, Southwest Oil & Gas Field Company, PetroChina, Chengdu, Sichuan 610000, China;3. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580, China
Abstract:The surface-wave suppression with the Curvelet transform is affected by the surface-wave and effective wave overlapping in the Curvelet domain.In the practice,the Curvelet transform cannot completely separate surface waves from effective waves.Therefore this paper proposes a Curvelet threshold iteration method based on energy ratio for surface-wave suppression.Using their characteristic differences in the frequency,velocity,and direction,effective waves and surface waves in different bands are decomposed in the Curvelet domain for many times.In different scales and angles,multiple iterations with different thresholds are carried out based on the distribution characteristics of surface waves and effective waves.According to our applications,the proposed method achieves better surface-wave separation and suppression than conventional methods.
Keywords:Curvelet transform  surface wave  noise attenuation  multi-scale  multi-direction  
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