A SYNCHROSQUEEZING TRANSFORM BASED TIME-FREQUENCY ANALYSIS ON SEISMIC SIGNALS OF HYDRATE RESERVOIRS

The Synchrosqueezing Transform (SST) is a new time-frequency analysis method. SST can obtain the time-frequency (t-f) resolution better than common time-frequency transforms such as wavelet transform and so on, by performing wavelet transform on the signal and reassigning (squeezing) the corresponding coefficient spectrum. In this paper, both continuous wavelet transform (CWT) and SST are applied to process the synthetic seismic data from a model containing hydrate reservoirs and a real seismic data collected from the Shenhu area of the South China Sea. The test results show that SST is able to provide seismic profiles with higher t-f resolution than CWT, which can reflect more detailed change in frequency of seismic signal and help us identify and delineate hydrate reservoirs more precisely.