Institute of Geophysics, University of Tehran, P.O. Box 14155-6466, Tehran, Iran
Due to the non-stationary properties of seismic signals, it is convenient to use multi-scale and multi- resolution transform to analyze seismic data. S transform is an extension of the ideas of the continuous wavelet transform (CWT), and is based on a moving and scalable localizing Gaussian window. The S transform is unique in that it provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum. In this study we took advantage of the S transform to design time and frequency dependent filters to attenuate ground rolls and random noises from seismic data. We used single frequency seismic sections in order to identify the low frequency shadows on seismic sections, which is the direct indicator of hydrocarbon.