Reassigned wavelet spectral decomposition and its application in hydrocarbon detection

Summary Spectral decomposition is an important tool for seismic signal analysis. The widely used methods for seismic spectral decomposition include short-time Fourier transform (STFT), continuous wavelet transform (CWT), and Wigner-Ville distribution (WVD), etc. Compared with STFT, the CWT method does not have a fix resolution in time-frequency plane caused by a preselecting window length, and there are also no cross-terms which are difficult to be removed in WVD method. Whereas, the time-frequency resolution of CWT method can be improved further when combined with reassignment technique. This paper implements a reassigned version of continuous wavelet transform (RCWT), which reassigns the energy to its gravity center. We conduct this method on a synthetic signal and compare its time-frequency resolution with CWT. And then we implement a hydrocarbon detection method based on RCWT, case study shows that this method can reveal potential hydrocarbon, the drilling results verify its correctness.