Study on time-frequency characteristics of acoustic full-wave train logging using a combination of ISVD and wavelet transform
The study of the dynamic characteristics of acoustic full-wave train logging usually includes time domain and frequency do-main methods,but both methods separate the time and frequency characteristics.In order to improve this problem,this article intended to explore the time-frequency characteristics of acoustic full-wave train logging.Firstly,the singular value decomposition was improved to decomposing an acoustic full-wave train logging signal into the main signal and the secondary signal.Then,wavelet transform was used to obtain the time-frequency distribution of each signal component.The conclusion indicates that compared to dense formations,for frac-tured formations,the time of P-wave,S-wave,and Stoneley waves was delayed;the main frequency of P-wave and S-wave decreased;the amplitudes of P-wave,S-wave,Stoneley wave and pseudo-Rayleigh wave were attenuated to varying degrees,among which Stoneley wave was the most attenuated.
acoustic full-wave train loggingimproved singular value decompositionwavelet transformtime-frequency distribution
万方数据
维普
