Abstract: The present paper gives an introduction of the terminology, principle, method and significance of the wavelet transformation in sequence stratigraphic division. The gamma-ray logging data for the D14 well in the Yinggehai Basin are explored with the aid of db5 wavelet in one-dimensional continuous wavelet transformation and one-dimensional discrete wavelet transformation, respectively. One long-term cycle, three medium-term cycles and nine short-term cycles are discriminated for the first member of the Huangliu Formation according to the time-frequency chromatogram and high-frequency discrete coefficient curves. The results of the study show that the wavelet transformation may provide a tool for the division of high-resolution logging sequence stratigraphy and recognition of subtle sequence cycles. The integration of one-dimensional continuous wavelet transformation and one-dimensional discrete wavelet transformation will be more favourable for the recognition of sequence cycles of varying orders.