A Reservoir Information Extraction Method Based on Improved Hilbert-Huang Transform

Authors

  • Qingmi Yang  School of Communication Engineering, Chengdu University of Information Technology, Chengdu, China

DOI:

https://doi.org//10.32628/IJSRSET196510

Keywords:

Hilbert-Huang Transform, Seismic Signal, Instantaneous Property, Reservoir

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.

References

  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.
  6. Nuttall A H, Bedrosian E. On the quadrature approximation to the Hilbert transform of modulated signals [J]. Proceedings of the IEEE, 1966, 54(10): 1458-1459.
  7. Huang N E, Shen Z, Long S R. A new view of nonlinear water waves: the Hilbert spectrum [J]. Annual review of fluid mechanics, 1999, 31(1): 417-457.
  8. Huang N E, Wu M L C, Long S R, et al. A confidence limit for the empirical mode decomposition and Hilbert spectral analysis [J]. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 2003, 459(2037): 2317-2345.

Downloads

Published

2019-10-30

Issue

Section

Research Articles

How to Cite

[1]
Qingmi Yang, " A Reservoir Information Extraction Method Based on Improved Hilbert-Huang Transform , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 5, pp.85-90, September-October-2019. Available at doi : https://doi.org/10.32628/IJSRSET196510