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《Journal of Changchun University》 2011-08
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Information Extraction of Acoustic Logging for Oil Layers Based on EMD Time-frequency Analysis

ZHANG Ting1,NIE Chun-yan2(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)  
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 P-wave 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.
【CateGory Index】: P631.81;P618.13
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