Abstract:

Array acoustic logging data is a non-linear and non-stationary signal. The traditional analysis methods include Fourier transform, wavelet analysis and Winger-Ville transform. Hilbert-Huang transform （HHT） is a new method developed for non-linear and non-stationary signal. The key step of this method is to apply the empirical mode decomposition （EMD） on signal, decomposing the signal into several intrinsic mode functions （IMF）, and then Hilbert energy spectrum of the signal can be obtained. The authors applied HHT to array acoustic logging signal processing, and used EMD to decompose the signal to get Hilbert energy spectrum. The relations between Hilbert energy spectrum and reservoir properties are analyzed. The result shows that there are some certain relations between Hilbert energy spectrum and reservoir properties.

Key words: coal bed methane, petrophysics, hydrocarbon detection, reflection amplitude, elastic parameter