2017
Spectral decomposition techniques are widely used in oil industry for detection of frequency anomalous features in seismic data. In last few years many advanced techniques are developed. Local timefrequency decomposition (LTFD) is recently developed spectral decomposition technique which uses regularized nonstationary regression with Fourier bases. In the present paper, we compare LTFD with CWT in terms of time and frequency resolution capabilities. Chirp signals, Berlage wavelets and Ricker wavelets of different frequencies are used for performing comparison.
Continuous wavelet transform, seismic data interpretation, spectral decomposition, local time-frequency decomposition