中文摘要：

小浪变换(WT ) 方法被采用了把一个原来的地球物理的信号分解成关于象毛孔液体，岩性学，和毛孔结构那样的水库特征包含不同信息的一系列部件。我们基于 WT 精力系列分析，反映水库液体性质的信号部件被提取开发了一个新方法。我们成功地用这个方法在华中从一块油地处理了真实木头数据。水库液体鉴定的结果同意井测试的结果。

英文摘要：

The wavelet transform （WT） method has been employed to decompose an original geophysical signal into a series of components containing different information about reservoir features such as pore fluids, lithology, and pore structure. We have developed a new method based on WT energy spectra analysis, by which the signal component reflecting the reservoir fluid property is extracted. We have successfully processed real log data from an oil field in central China using this method. The results of the reservoir fluid identification agree with the results of well tests.