Instantaneous Frequency Extraction Using the EMD-Based Wavelet Ridge to Reveal Geological Features

被引:3
作者
Xue, Ya-juan [1 ]
Zhang, Jian [1 ]
Chang, Qiang [1 ]
Zhang, Li-ping [1 ]
Zou, Feng [1 ]
机构
[1] Chengdu Univ Informat Technol, Sch Commun Engn, Chengdu, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
empirical mode decomposition; wavelet ridge; instantaneous frequency; peak frequency volume; tight sandstone reservoirs; EMPIRICAL MODE DECOMPOSITION;
D O I
10.3389/feart.2018.00065
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
As one of the important seismic attributes, instantaneous frequency (IF) is widely used to reveal geological features. Compared to the normally IF extraction using Hilbert transform (HT), IF extraction using the wavelet ridge is demonstrated to have a more robust characteristic and anti-noise feature. Due to IF extraction using the wavelet ridge is suitable for the gradual single-frequency signal, to get a meaningful instantaneous attributes Empirical Mode Decomposition (EMD) is applied to the seismic signal first to decompose each seismic trace into the IMFs which are single-frequency signal. Application of the simulated signals and the seismic trace show that IF extraction using the EMD-based wavelet ridge is more accurate than HT does. Application of the EMD-based wavelet ridge method in a gas field located in PengLai, Central Sichuan(China), shows its effectiveness. IF extraction using the EMD-based wavelet ridge method can be used as a strong tool to detect the instantaneous spectral properties of a reservoir to reveal hydrocarbon related strong amplitude anomaly and reservoir thickness variation and lateral changes information.
引用
收藏
页数:11
相关论文
共 21 条
[1]   ESTIMATING AND INTERPRETING THE INSTANTANEOUS FREQUENCY OF A SIGNAL .1. FUNDAMENTALS [J].
BOASHASH, B .
PROCEEDINGS OF THE IEEE, 1992, 80 (04) :520-538
[2]   Seismic attributes - A historical perspective [J].
Chopra, S ;
Marfurt, KJ .
GEOPHYSICS, 2005, 70 (05) :3SO-28SO
[3]  
Cohen I, 1995, TIME FREQUENCY ANAL
[4]   WAVELET TRANSFORMS AND THEIR APPLICATIONS TO TURBULENCE [J].
FARGE, M .
ANNUAL REVIEW OF FLUID MECHANICS, 1992, 24 :395-457
[5]   Seismic data decomposition into spectral components using regularized nonstationary autoregression [J].
Fomel, Sergey .
GEOPHYSICS, 2013, 78 (06) :O69-O76
[6]  
Gabor D, 1946, J. Inst. Electr. Eng. (London), V93, P429, DOI [10.1049/JI-3-2.1946.0074, DOI 10.1049/JI-3-2.1946.0074, 10.1049/ji-3-2.1946.0074]
[7]  
Han J., 2011, CSPG CSEG CWLS CONV, V114
[8]   Empirical mode decomposition for seismic time-frequency analysis [J].
Han, Jiajun ;
van der Baan, Mirko .
GEOPHYSICS, 2013, 78 (02) :O9-O19
[9]   Frequency estimates of seismic traces [J].
Hardy, HH ;
Beier, RA ;
Gaston, JD .
GEOPHYSICS, 2003, 68 (01) :370-380
[10]  
Huang J. W., 2009, P VOL 2009 CSPG CSEG, P205