在层序地层学的基础上,根据沉积旋回特征,运用时频分析的方法对北黄海东部坳陷进行高分辨率层序地层研究,将某口井的测井曲线进行一维离散小波阈值去噪与主成分分析方法融合多条测井曲线,求得能够综合反映地层信息特征的第1主成分曲线。对该曲线进行一维连续小波变换,根据模极大值得到的不同尺度因子,对不同级别的层序地层进行划分,可划分出4个层序和8个准层序组单元,并对层序单元进行沉积旋回和微相分析,以沉积微相为单元并进行小波变换,得到小尺度对应的岩层组单元划分。结果表明,对测井曲线进行小波变换能对层序地层进行高分辨率划分,并且可有效地进行沉积旋回的研究。
On the basis of sequence stratigraphy and sedimentary cyclicity, time-frequency analysis is a- dopted for the sequence stratigraphic study in the eastern depression of the north Yellow Sea. 1D discrete wavelet transform with multi scale decomposition is applied to well logs, which is denoised with threshold method. The method of principal component analysis is used for fusion of multi-well logging curves, and obtained is the first principal component curve which can reflect the stratigraphic parameters. Then apply- ing 1-D continuous wavelet transform on the curve, according to the different scale factors for modulus maxima method, divide the sequence upon different levels. As the results, four sequences and eight pa- rasequences are defined. Upon the basis, further study is made on the sedimentary cyclicity and mircrofa- cies of the sequence. Wavelet transform is then performed for the mircrofacies as a unit, and then divide the rock group by the small scale factors. The results show that well log wavelet transform can make the sequence stratigraphy in high resolution and study the sedimentary cycles effectively.