[1]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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Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
45
Number of periods:
2022 03
Page number:
441-451
Column:
生命线工程系统抗震防灾专栏
Public date:
2022-06-20
- Title:
-
Application of a Compressive Sensing Denoising Method Based on Curve Wave Domain to Airgun Signals in Reservoirs
- Author(s):
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ZHANG Shuai1; YANG Runhai1; ZHANG Yan1; ZHANG Huiju2; YAO Yuan1; SHEN Yahong1; LI Ping1
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(1.Yunnan Earthquake Agency,Kunming 650224,Yunnan,China)(2.Kaiyuan Earthquake Agency,Kaiyuan 661699,Yunnan,China)
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- Keywords:
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airgun source signals; noise reduction; compressed sensing; curvelet transform; total variation
- CLC:
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P315.3
- DOI:
-
10.20015/j.cnki.ISSN1000-0666.2022.0044
- Abstract:
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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.