小波变换高分辨率层序地层学研究

以大庆长垣杏树岗地区高三组层序地层划分为例,分析了小波变换在高分辨率层序划分中的应用。利用对自然伽马曲线进行Morlet小波变换,将测井曲线信号转换为深度与尺度域的变化关系,得到不同尺度上的小波系数曲线,然后建立最佳尺度因子下的小波系数曲线的周期性振荡特征与各级层序界面的对应关系,最终将最佳尺度因子下的小波系数曲线用于层序的识别与划分。同时,结合地震资料和储层反演等资料验证,实践证明,最佳尺度因子下的小波系数曲线能准确识别出各级层序的界面,因此,利用小波变换进行层序地层划分为高分辨率层序地层学研究了提供一条新的途径。

The Research of Wavelet Transform Sequence Stratigraphy with High Resolution

Taking the division of G3 strata sequence in Daqing Placanticline Xingshugang as example,this paper analyzed the application of wavelet transform in high-resolution sequence stratigraphy.To making morlet wavelet transform on GR curve,log curve signal is converted to the alter relationship between depth and scale domain,receiving wavelet coefficient curve of different scales,then create the corresponding relations between the periodic oscillation characteristics of wavelet coefficients and levels of sequence boundaries wcich are in best scaled factor,and will eventually applying the wavelet coefficients in the best scale factor to the identification and division of the sequence.Meanwhile Combining seismic data and reservoir inversion verify,practice has proved that the wavelet coefficients of the curve in the optimal scale factor can accurately identify the sequence at all levels of the interface,Therefore,the application of wavelet transform in dividing sequence stratigraphy studies has provided a new way for high resolution sequence stratigraphy.