Affiliation:
1. School of Communication Engineering, Chengdu University of Information Technology, Chengdu, China
Abstract
Hilbert-Huang transform (HHT) is a nonlinear non-stationary signal processing technique, which is more effective than traditional time-frequency analysis methods in complex seismic signal processing. However, this method has problems such as modal aliasing and end effect. The problem causes the accuracy of signal processing to drop. Therefore, this paper introduces the method of combining the Ensemble Empirical Mode Decomposition (EEMD) and the Normalized Hilbert transform (NHT) to extract the instantaneous properties. The specific process is as follows: First, the EEMD method is used to decompose the seismic signal to a series of Intrinsic Mode Functions (IMF), and then The IMFs is screened by using the relevant properties, and finally the NHT is performed on the IMF to obtain the instantaneous properties.
Reference8 articles.
1. HUANG N E, SHEN Z, LONG S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J]. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 1998, 454(1971): 903-995.
2. XUE Y J, CAO J X. Seismic signal attenuation analysis using ensemble empirical mode decomposition and wavelet transform [J]. Oil Geophysical Prospecting, 2016, 51(6): 1148-1155. (in Chinese)
3. Huang Y P, Geng J H, Zhong G F, et al. Seismic attribute extraction based on HHT and its application in a marine carbonate area[J]. Applied Geophysics, 2011, 8(2): 125-133.
4. Xue Y J, Cao J X, Tian R. A comparative study on hydrocarbon detection using three EMD-based time–frequency analysis methods [J]. Journal of Applied Geophysics, 2013, 89: 108-115.
5. Chen C S, Jeng Y. Natural logarithm transformed EEMD instantaneous attributes of reflection data[J]. Journal of Applied Geophysics, 2013, 95: 53-65.