Thin Bed Prediction Processing Technique Based on Generalized S Transform

S transform has the characteristic of short Fourier transform and wavelet transform, but the basic wavelet in S transform is invariable and it isn´t the same with seismic data absolutely. So a generalized S transform is discussed in the paper and used to predict thin bed. Simulation experiments and processing results of real data reveal that generalized S transform is feasible and effective to predict the seismic thin bed. And generalized S transform provides an effective tool for the processing and interpretation of seismic data.