基于小波变换的高分辨率层序地层单元划分方法探讨

The research of high-resolution sequence stratigraphy units identified by wavelet transform

通过小波变换方法将测井曲线的一维信号拓展到二维的时频域中,可在不同尺度的范围内表现出不同的界面特征,从而揭示地层内部的旋回性结构。对惠民凹陷某井的试验表明,通过寻找小波变换的最佳尺度因子可探测到不同级别的层序地层单元界面。利用选取的Morlet小波基函数对自然伽马曲线进行的小波变换识别了该井的6个准层序组界面,这与传统方法的划分界面基本一致。

The one-dimension well logs are turned into time-frequency domain by wavelet transform of well logs, which make the different boundary characters in vary scales. It reveals the cycling construction in strata. Taking the well in Huimin sag as example,we identified the different sequence boundaries by looking for the best scale of wavelet. Six para-sequence stratigraphy sets are identified by using wavelet transform for GR log with Morlet wavelet function, it is consistent with the traditional method.