摘要
小波变换是一种能同时在时间域和频率域内进行局部化信号分析的新方法,且时间域分辨率可随尺度因子的增大而提高,其主要优点在于它在时间域和频率域都有良好的局部化性质,可以聚集到信号的任意细节。利用该特点采用Mallat方法可对测井曲线进行分解和重构,重构后的测井曲线可以提高纵向分辨率。该方法与反褶积方法比较,小波变换后的测井曲线更能反应细节信息,具有更高的纵向分辨率。
Wavelet transformation is a new method that can make local signal analysis both in time and frequency domains, where the time domain resolution could change and increase with scale factor. The method is characterized by good localized time and frequency domain that could converge signals at any detail. By means of Mallat arithmetic, the method can be used to decompose and reconstruct well log curves, and improve the vertical resolution. Compared with deconvolution method, the well log curves transformed by wavelet analysis contain more detailed information and reach higher vertical resolution.
出处
《新疆石油地质》
CAS
CSCD
2004年第5期529-531,共3页
Xinjiang Petroleum Geology
关键词
小波变换
测井曲线
纵向分辨率
分解
重构
wavelet transformation
well log curve
decomposition
reconstruction
vertical resolution
