基于ICEEMDAN的曲波阈值地震数据去噪方法研究  

Research on Curvelet Threshold Seismic Data Denoising Method Based on ICEEMDAN

作　　者：赵桠松 许辉群[1] 王泽峰 聂荣 杨梦琼 李欣怡 魏文斋 Zhao Yasong;Xu Huiqun;Wang Zefeng;Nie Rong;Yang Mengqiong;Li Xinyi;Wei Wenzhai(School of Geophysics and Petroleum Resources, Yangtze University, Wuhan Hubei 430100, China;Jinzhou Oil Production Plant, Liaohe Oilfield Company, Linghai Liaoning 121209, China)

机构地区：[1]长江大学地球物理与石油资源学院,湖北武汉430100 [2]辽河油田公司锦州采油厂,辽宁凌海121209

出　　处：《工程地球物理学报》2022年第2期252-257,共6页Chinese Journal of Engineering Geophysics

基　　金：中国石油创新基金(编号:2018D-5007-0301)。

摘　　要：地震数据去噪对地震资料的品质的提升有重要的作用,因此对地震数据噪声的压制非常必要。本文提出一种基于ICEEMDAN与曲波阈值相结合去噪处理的方法,该方法解决了经验模态分解的模态混叠问题,使ICEEMDAN分解出来的模态分量特征更明显,然后通过曲波阈值对模态分量进行去噪并对处理的模态分量进行重构,利用信噪比(SNR)、均方根差(RMSE)对地震合成记录和地震实际数据与小波变换的去噪效果进行对比分析。结果表明,基于ICEEMDAN与曲波阈值相结合的方法提高了信噪比,可以更好地保留有效信息,验证了本文方法对地震信号的降噪处理的有效性。Seismic data denoising plays an important role in improving the quality of seismic data,so it is very necessary to suppress the noise of seismic data.This paper proposes a denoising method based on the combination of ICEEMDAN and curvelet threshold to solve the modal aliasing problem of empirical mode decomposition and makes the characteristics of the modal components decomposed by ICEEMDAN more obvious.Then we pass the curvelet threshold denoising the modal components and reconstructing the processed modal components,using the signal-to-noise ratio(SNR)and root mean square error(RMSE)to compare and analyze the denoising effects of seismic synthetic records and actual seismic data with wavelet transform.The results show that the method based on the combination of ICEEMDAN and the curvelet threshold improves the signal-to-noise ratio,and can better retain the effective information,which verifies the effectiveness of the proposed method in noise reduction of seismic signals.

关 键 词：地震勘探 地震数据去噪 ICEEMDAN 曲波阈值 

分 类 号：P631.4[天文地球—地质矿产勘探]