Application of synchrosqueezed wave packet transform in high resolution seismic time-frequency analysis

Time-frequency (T-F) representation is a cornerstone in the seismic data processing and interpretation. It reveals the local frequency information that is hidden in the Fourier spectrum. The high resolution of the T-F representation is of great significance in depicting subtle geologic structures and in detecting anomalies associated with hydrocarbon reservoirs. The traditional T-F representations include short-time Fourier transform (STFT), continuous wavelet transform (CWT), S-transform (ST) and Wigner-Ville distribution (WVD). However, due to the uncertainty principle and cross-term, these methods suffer from low time-frequency resolution. In this paper, we introduce a new methodology for obtaining a high-quality T-F representation which is termed the synchrosqueezed wave packet transform (SSWPT). It is the first time that SSWPT is applied to multichannel seismic data time-frequency analysis. The SSWPT is a promising tool to provide detailed T-F representation. We validate the proposed approach with a synthetic example and compare the result with existing methods. Two field examples illustrate the effectiveness of SSWPT to identify subtle stratigraphic features for reservoir characterization.