A new ensemble empirical mode decomposition (EEMD) denoising method for seismic signals

被引：68
|
作者：
Gaci, Said [1 ]
机构：
[1] Sonatrach Algerian Inst Petr IAP, Ave 1er Noyembre, Boumerdes 35000, Algeria
来源：
EUROPEAN GEOSCIENCES UNION GENERAL ASSEMBLY 2016 | 2016年 / 97卷
关键词：
Empirical mode decomposition (EMD); Ensemble Empirical mode decomposition (EEMD); Discrete wavelet transform (DWT); seismogram; HILBERT SPECTRUM;
D O I：
10.1016/j.egypro.2016.10.026
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper suggests a new denoising technique based on the Ensemble Empirical mode decomposition (EEMD). This technique has been compared with the discrete wavelet transform (DWT) thresholding. Firstly, both methods have been implemented on synthetic signals with diverse waveforms ('blocks', 'heavy sine', 'Doppler', and 'mishmash'). Secondly, the denoising methods have been applied on real seismic traces recorded in the Algerian Sahara. It is shown that the proposed technique outperforms the DWT thresholding. In conclusion, the EEMD technique can provide a powerful tool for denoising seismic signals. (C) 2016 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：84 / 91
页数：8
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