本文介绍了小波变换的基本原理和步骤,探讨了测井信号小波变换在层序地层划分中的方法和地质意义.对南海北部莺歌海盆地D14井黄流组自然伽马(GR)测井信号利用Daubechies小波系db5小波进行了一维连续小波变换和一维离散小波变换.根据其时频色谱图特征和高频离散系数曲线特征,将黄流组一段划分出1个长期旋回、3个中期旋回和9个短期旋回.显示出小波变换在测井层序地层划分中较高的分辨率、在识别地质作用中的隐蔽旋回特征的优势.实践证明,将一维连续小波变换和一维离散小波变换进行综合分析,更有利于不同级次的层序旋回识别.%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 dbS 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.
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