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基于EMD时频分析的声波测井油层的信息提取 被引量:2

Information Extraction of Acoustic Logging for Oil Layers Based on EMD Time-frequency Analysis
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摘要 阵列声波测井信号是典型的非线性、非平稳信号。文中采用EMD(经验模态分解)的时频分析方法,对油层声波信息提取储集层性质。首先对信号进行EMD分解,得到有限个固有模态函数(IMF),再次对每个IMF做H ilbert变换,求得信号的H ilbert谱的三维分布以及H ilbert边际谱和瞬时能量谱,仿真结果表明,油层中纵波能量最小,横波能量较大,一般大于斯通利波的能量。斯通利波能量衰减严重。 Array acoustic logging signal is a typical non-linear and non-stationary signal. This paper extracts acoustic information reservoir properties in oil layers by adopting time-frequency analysis of experience mode decomposition (EMD). First of all, the signals are decomposed into a finite number of intrinsic modal functions (IMF) by EMD, and then 3-D distribution of Hilbert spectrum, Hilbert marginal spectrum and instantaneous energy spectrum are obtained by Hilbert transform. Simulation results show that the energy of Pwave is least and that of S-wave is stronger in oil layers, generally speaking, it is stronger than that of Stoneley Wave. The energy attenuation of Stoneley Wave is serious.
作者 张婷 聂春燕
出处 《长春大学学报》 2011年第8期15-18,共4页 Journal of Changchun University
关键词 阵列声波 经验模态分解 时频分析 HILBERT变换 array acoustic experience mode decomposition (EMD) time-frequency analysis Hilbert transformation
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