目前,阵列声波测井信号处理大多在时间域或频率域中进行.但是,单纯的时间域或频率域方法有很大的局限性.为了打破这些局限性,笔者将分数阶Fourier变换方法用于阵列声波测井信号的分析之中,研究了不同性质储集层中信号幅度随分数阶Fourier变换阶数变化的规律.实验结果表明:在干层,幅度呈“1”型分布；在水层,幅度呈“Y”型分布,“Y”的两支开口较小,在阶数大于0.3的区域中,幅度较大；在油层,幅度呈“Y”型分布,“Y”的两支开口较大,在阶数大于0.6的区域中,幅度较大.因此,分数阶Fourier变换在提取阵列声波测井蕴含的储集层流体性质信息方面具有很好的前景.%As we knew, most of the process techniques for array acoustic logging data still use the analysis methods only in either time domain or frequency domain, but these methods all have obvious limitation for signal analysis. In order to break these limitations, the authors used the fratal Fourier for analysing the array acoustic logging signals and researching the law of signal amplitude variation with the order of the fratal Fourier transform variation in different kinds of reservoirs. As the results, in the dry formation, amplitude shows "1" type distribution; In water formation, amplitude shows "Y" type distribution, two branch of "Y" open narrow and in area of order greater than 0. 3, amplitude is larger; In oil formation, amplitude shows "Y" type distribution, two branch of "Y" open wide and in area of order greater than 0. 6, amplitude is larger. So the fratal Fourier transform have very good prospect for extracting the reservoir liquid properties information embedded in the array acoustic logging data.
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