A comparative study on hydrocarbon detection using three EMD-based time–frequency analysis methods

• Published in: Journal of applied geophysics 2013-02, Vol.89, p.108-115
• Main Authors: Xue, Ya-juan, Cao, Jun-xing, Tian, Ren-fei
• Format: Article
• Language: English
• Subjects: Empirical mode decomposition; Frequency division section; Hilbert–Huang transformation; HU method; Hydrocarbon detection; Normalized Hilbert transform
• ISSN: 0926-9851; 1879-1859
• DOI: 10.1016/j.jappgeo.2012.11.015

Due to strong heterogeneity of marine carbonate reservoir, seismic signals become more complex, thus, it is very difficult for hydrocarbon detection. In hydrocarbon reservoir, there usually exist some changes in seismic wave energy and frequency. In their instantaneous spectrums there often exist such phenomena that show the characteristics of attenuation of high frequency energy and enhancement of low-frequency energy. The three EMD-based time-frequency analysis methods' instantaneous spectra all have certain oil and gas detection capability. In this paper, we introduced the Normalized Hilbert Transform (NHT) and a new method named the HU method for hydrocarbon detection. The model results in the Jingbian Gas Field which is located in the eastern Ordos Basin, China, show that NHT and HU methods can be adopted. They also detect the gas-bearing reservoir efficiently as the HHT method does. The three EMD-based methods, that is, the Hilbert–Huang transformation (HHT) and NHT and HU methods, were respectively applied to analyze the seismic data from the Jingbian Gas Field. Firstly, the seismic signals were decomposed into a finite number of intrinsic mode functions (IMFs) by empirical mode decomposition (EMD) method. The second IMF signal (IMF2) of the original seismic section better indicates the distribution of the reservoir. Information on hydrocarbon-bearing reservoir is mainly in IMF2. Secondly, the HHT, NHT and HU methods were respectively used to obtain different frequency division sections from IMF2. Hydrocarbon detection was realized from the energy distribution of the different frequency division sections with these three EMD-based methods. The practical application results show that the three EMD-based methods can all be employed to hydrocarbon detection. Frequency division section of IMF2 using NHT method was better for the seismic data from the Jingbian Gas Field than when using the HHT method and HU method. ► We study hydrocarbon detection in marine carbonate reservoirs. ► Three EMD-based methods are compared in the application of hydrocarbon detection. ► NHT method and HU method are introduced in hydrocarbon detection. ► Energy distributions using the HHT method and NHT method are stronger. ► We consider that the NHT algorithm has better effects than the other two algorithms.