[1]刘从浩,文畅,谢凯,等.地震信号的完整集合分解方法[J].长江大学学报(自科版),2017,14(13):63-67.
 Liu Conghao,Wen Chang,Xie Kai,et al.A Complete Ensemble EMD Mode Method of Processing Seismic SignalLiu Conghao,Wen Chang, Xie Kai(Yangtze University, Jingzhou 434023)He Jianbiao( Central South University, Changsha 410083)[J].Journal of Yangtze University(Natural Science Edition),2017,14(13):63-67.
点击复制

地震信号的完整集合分解方法
分享到:

《长江大学学报》(自科版)[ISSN:1673-1409/CN:42-1741/N]

卷:
14
期数:
2017年第13期
页码:
63-67
栏目:
计算机科学与电子信息工程
出版日期:
2017-07-02

文章信息/Info

Title:
A Complete Ensemble EMD Mode Method of Processing Seismic Signal Liu Conghao,Wen Chang, Xie Kai(Yangtze University, Jingzhou 434023) He Jianbiao( Central South University, Changsha 410083)
作者:
刘从浩1文畅1谢凯1贺建彪2
1长江大学电子信息学院, 湖北 荆州 434023;2中南大学信息科学与工程学院, 湖南 长沙 410083
Author(s):
Liu ConghaoWen Chang Xie KaiHe Jianbiao
1Yangtze University, Jingzhou 434023;2Central South University, Changsha 410083
关键词:
地震信号EMD本征模态函数(IMF)信号重构CEEMD
Keywords:
seismic signalEMD intrinsic mode function(IMF)signal reconstruction CEEMD
分类号:
TN911.4;P631.4
文献标志码:
A
摘要:
为有效开采岩性、薄储层等隐蔽性油气藏,需准确处理分析非线性、非平稳地震信号,以获取信噪较好的地震剖面。基于提高处理后地震剖面精度的需求,提出了一种地震信号的完整集合分解方法(CompleteEnsembleEmpiricalModeDecomposition,CEEMD)。CEEMD 主要由经验模态分解(EMD)、本征模态函数的确定以及地震信号完整重构3部分构成,在EMD的基础上加入了自适应噪声来减小模态效应,分解过程中既保留了EMD处理非平稳、非线性信号的优势,又可以有效改善EMD的模态混叠问题,从而提高信号的信噪比并有效保留原信号中的有效成分。该方法可对地震信号进行更为精确地分解, 然后实现完整的信号重构,在精确处理的同时,大大减少了有效信号的丢失,使地层信息更加明确,地质结构分辨率得到有效提升。
Abstract:
In order to effectively exploit the hidden oil and gas reservoirs such as lithologic and thin reservoirs, it is necessary to analyze the nonlinear and nonstationary seismic signals accurately to obtain a seismic profile with better signal-noise ratio. Based on the requirement of improving the accuracy of the seismic profile after the treatment, a complete ensemble empirical mode decomposition (CEEMD) is proposed. CEEMD is proposed, which is mainly composed of empirical mode decomposition (EMD), the determination of eigenmode function in the model and the complete reconstruction of seismic signals. Based on the EMD, self-adaptive noise is added to reduce the modal effect, which can not only improve the modal aliasing problem of EMD, but also improve the signal-to-noise ratio of the signal and effectively preserve the active components in the original signal, while preserving the advantages of EMD to deal with non-stationary and nonlinear signals. The method can decompose the seismic signal more accurately, and then realize the complete signal reconstruction. At the same time, it can greatly reduce the loss of the effective signal, make the stratigraphic information more clear and improve the resolution of the geological structure.

备注/Memo

备注/Memo:
[基金项目] 国家自然科学基金项目(61272147); 湖北省教育厅指导性项目(B2015446)。 [作者简介] 刘从浩(1991-), 男, 硕士生, 现主要从事信号与信息处理以及油气检测与识别方面的研究工作。 [通信作者] 文畅(1979-), 女, 硕士, 讲师, 现主要从事信号与信息处理方面的研究工作, wenchang2016paper@163.com。
更新日期/Last Update: 2017-06-30