Abstract
The synchrosqueezing wavelet transform (SSWT) can capture the local frequency variation in the seismic data with high time and frequency resolutions. In this paper, we propose a novel applications of TF analysis using the SSWT. We propose to use SSWT to detect structural anomalies, such as karstification, which is closely related with oil & gas traps. This application is due to the better separability of different frequency components using SSWT. We divide the total frequency band into different sub-bands and analyze the structural behaviors delineated from the sub-bands. The application of SSWT is compared with that from the widely used S transform (ST), which shows great potential of SSWT to be used as an alternative to traditional TF decomposition approaches. All the studies in this paper are based on the 3D migrated data from the Boonsville field.
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