| 基于EMD时频分析的声波测井油层的信息提取 |
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| 引用本文： | 张婷,聂春燕.基于EMD时频分析的声波测井油层的信息提取[J].长春大学学报,2011(8):15-18. |
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| 作者姓名： | 张婷 聂春燕 |
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| 作者单位： | 长春理工大学电子信息工程学院;长春大学电子信息工程学院 |
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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...
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| 关 键 词： | 阵列声波 经验模态分解 时频分析 HILBERT变换 |
Information Extraction of Acoustic Logging for Oil Layers Based on EMD Time-frequency Analysis |
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| ZHANG Ting,NIE Chun-yan.Information Extraction of Acoustic Logging for Oil Layers Based on EMD Time-frequency Analysis[J].Journal of Changchun University,2011(8):15-18. |
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| Authors: | ZHANG Ting NIE Chun-yan |
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| Institution: | 1.College of Electronics and Information Engineering,Changchun University of Science and Technology,Changchun 130022,China;2.College of Electronic Information Engineering,Changchun University,Changchun 130022,China) |
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| Abstract: | 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. |
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| Keywords: | array acoustic experience mode decomposition （EMD） time-frequency analysis Hilbert transformation |
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