Optimal wavelet selection under determining of the palaeochannel features

We present the results of the study of attributes, which are values of amplitudes obtained by wavelet decomposition at three fixed frequencies. Such attributes are used for RGB visualization. Comparison of RGB maps constructed using four wavelets: Ricker, Morlet, Gauss, Shannon, allowed us to determine the optimal type of wavelet that provides the best allocation of the paleochannel. The attribute values were also used to quantitatively assess the effective thickness of sediments related to the paleochannel. The results of the predictive estimates constructed on the basis of a linear relationship were compared with the thickness values obtained from wells. When solving this problem, the optimal wavelet was different from the one that provided the best allocation of the paleochannel using RGB technology.