|本期目录/Table of Contents|

[1]张 帅,杨润海,张 演,等.一种基于曲波域的压缩感知降噪方法及其在水库气枪信号中的应用[J].地震研究,2022,45(03):441-451.[doi:10.20015/j.cnki.ISSN1000-0666.2022.0044 ]
　ZHANG Shuai,YANG Runhai,ZHANG Yan,et al.Application of a Compressive Sensing Denoising Method Based on Curve Wave Domain to Airgun Signals in Reservoirs[J].Journal of Seismological Research,2022,45(03):441-451.[doi:10.20015/j.cnki.ISSN1000-0666.2022.0044 ]
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一种基于曲波域的压缩感知降噪方法及其在水库气枪信号中的应用(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
45
期数:
2022年03期
页码:
441-451
栏目:
生命线工程系统抗震防灾专栏
出版日期:
2022-06-20

文章信息/Info

Title:
Application of a Compressive Sensing Denoising Method Based on Curve Wave Domain to Airgun Signals in Reservoirs
作者:
张 帅1; 杨润海1; 张 演1; 张惠菊2; 姚 远1; 沈娅宏1; 李 平1
(1.云南省地震局,云南 昆明 650224; 2.开远市地震局,云南 开远 661699)
Author(s):
ZHANG Shuai1; YANG Runhai1; ZHANG Yan1; ZHANG Huiju2; YAO Yuan1; SHEN Yahong1; LI Ping1
(1.Yunnan Earthquake Agency,Kunming 650224,Yunnan,China)(2.Kaiyuan Earthquake Agency,Kaiyuan 661699,Yunnan,China)
关键词:
气枪源信号;  降噪;  压缩感知;  曲波变换;  全变差
Keywords:
airgun source signals;  noise reduction;  compressed sensing;  curvelet transform;  total variation
分类号:
P315.3
DOI:
10.20015/j.cnki.ISSN1000-0666.2022.0044
摘要:
针对气枪主动源信号的特点,构建了一种基于曲波域的压缩感知降噪方法,并将其应用于气枪主动源信号处理。介绍了将新发展的压缩感知理论与曲波域全变差技术相结合的降噪方法的原理和处理流程。通过数值模拟,将该方法与传统方法的处理效果进行了对比评价,降噪后的波速测量结果与模拟信号基本一致。将该方法应用到实际的气枪主动源的数据处理中。结果表明:该方法在去除随机噪声的同时,也压制了相干干扰现象。
Abstract:
Improving the signal-to-noise ratio of the active source of airgun is an important prerequisite to accurately characterize the variation of underground media and underground structures.Aiming at the characteristics of the active source of airgun,this paper constructs a denoising method,the Compress Sensing Curvelet Transform(CSCT)based on the curve wave domain and applies it to the active source of airgun.The principle and workflow of this method,which combines the lastest compressed sensing theory with the technology of total variation with curve wave domain,are highlighted.Through numerical simulation,the performance of this method is evaluated and compared with the performance of the traditional methods.And the method is applied to the data processing of the active source of the airgun.While removing random noise,the method also suppresses the coherent interference.Finally,the applicable conditions of this method in processing the airgun signals are summarized,and the potential applications of this method to the data processing of the active source of airgun is further discussed.

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备注/Memo

备注/Memo:
收稿日期:2021-07-06
基金项目:云南省地震局青年基金(2018k09)、国家自然科学基金(41574059、41174043)和云南省地震局“地震机理与孕震环境研究”创新团队联合资助.

更新日期/Last Update: 2022-07-01