摘要
测井数据包含了丰富的地质信息,是研究地层多尺度沉积旋回的主要资料.本文阐述了小波变换及多尺度分析方法,探讨了测井多尺度分析方法在层序地层划分中的应用.以东营凹陷某井为例,选取Morlet小波基函数对GR测井曲线进行连续小波变换,将测井信号与深度的关系转换为与深度和尺度域的变化关系.通过研究多种伸缩尺度下小波系数曲线表现出的周期性振荡特征,并结合不同测井曲线多尺度分解后的高频信号特征,划分出各级层序界面,与传统方法所划分的界面基本一致.
Logging data contains a great amount of geologic information and it is the main source to study multiscale sedimentary cycle. The article expatiates on wavelet transform and multiscale analysis method and discusses the method applied to demarcate sequence stratigraphy. For case study, GR logging curve from a well in Dongying sag is processed through Morlet continuous wavelet transformation. With this transformation the relation between logging data and depth is changed to the variety relation between logging data and depth-scale space. Through studying the periodic vibratory characteristic of wavelet coefficients under different scales and combining with the characteristic of high frequency signal which is derived from the multiscale decompose of different logging curves, the sequence boundaries on different scales can be detected and it is in agreement with that obtained through the traditional method. All these researches provide a completely new and effective method for the demarcating of sequence.
出处
《新疆地质》
CAS
CSCD
2006年第4期454-457,共4页
Xinjiang Geology
关键词
测井曲线
小波变换
多尺度分析
层序地层
logging curve
wavelet transform
multiscale analysis
sequence stratigraphy
