Application of Wavelet Analysis in Sequence Stratigraphic Division of Glutenite Sediments

Abstract

The sequence stratigraphic division and correlation are the key of the research for glutenite reservoir. For the reasons that lacking shale marker horizons and paleaobiological fossils in glutenite sediments, the conventional treatments of strata demarcation based on well logging are difficult and inefficient. Aimed to the great thick glutenite in Dongying Depression, this paper presents a new method of wavelet analysis based on DB5 continuous wavelet transform to make sequence stratigraphic division and correlation. The wavelet transform is an excellent tool of multi-scale analysis, it can make strata demarcation by studying the cycle regulation of the wavelet coefficients in the best scales resulted from the CWT of the GR or AC well logs. The research shows that the method of wavelet analysis is quite suitable and effective for the demarcation of glutenite sediments and gets quite good results.