Abstract
The wave of different components produced by the Sound wave logging is superimposed to each other, and the arrival time cannot be effectively analyzed using a conventional method. Wavelet analysis has good localized properties in the time domain and frequency domain, and it is easy to analyze and process sound wave logging signals. This paper mainly analyzes the characteristics of acoustic signals in acoustic logging, and uses wavelet transform for signal processing. Firstly, select the appropriate wavelet function according to the characteristics of the logging signal. Secondly, analyze the instantaneous frequency of the acoustic signal, and identify the first wave position of various acoustic components in the logging signal. In Finally, obtain the information of each sound wave component, and determine its sound wave component parameters, including time difference, main frequency, energy, etc. Using wavelet transform to analyze the sound wave signal can clearly get the change of each component of the sound wave with time, especially the position of the first wave of each component. The wavelet transform provides an effective method to extract the sonic components of sonic logging signals.
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