Extraction Of Time-Frequence Characteristics And Analysis Abouat Acoustic Logging Information

Array acoustic logging signal is a typical non-linear,non-stationary signals,suitable for the use of time-frequency analysis method to deal with the data obtained by the actual acoustic logging. Hilbert-Huang transform is a new kind time-frequency analysis different from the traditional analytical methods,that is suitable for analyzing the signal which is non-linaer and non-stationary.The paper use the method of analysis about empirical mode decomposition(EMD) with smooth pseudo Wigner-Ville distribution,firstly make the signal empirical mode decomposition by according with the different characteristic scales of time,to get a finite number of intrinsic mode functions(IMF).Each IMF contains the information with a certain scale range of signal,like a filter,and each IMF contains different types of acoustic signals.Then each IMF component by doing smooth pseudo Wigner-Ville distribution and time-frequency-energy three-dimensional distribution,get the energy distribution of the signal at the time-frequency.With this time-frequency analysis methods,the the different characteristics about frequency distribution of the different nature of the reservoir,which basis for the study of propagation charateristics,identify the nature of the reservior.