Abstract

We present a way of extending the bandwidth of band-limited seismic datasets, thereby enhancing their resolution. We make use of the stationary wavelet transform (SWT) for implementing this resolution enhancement. We show that by using the known wavelet coefficients of the input dataset at higher scales (lower frequencies), it is possible to predict the lower scale (higher frequency) coefficients in an in-phase/coherent manner, thereby improving the resolution of the input seismic data. Improvements of ~ 1 octave in bandwidth are typical. We argue that the non-stationary, time varying nature of the seismic signal makes the wavelet transform domain the natural/ideal domain to work in, as opposed to the Fourier domain.