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地球物理学进展 2008
Application of Hilbert-Huang transform in extracting dynamic properties of array acoustic signals
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Abstract:
Array acoustic logging data is a non-linear and non-stationary signal,and its dynamic properties extracting can provided a basic background data for analyzing reservoir formation structural and textural characteristics.Hilbert-Huang transform(HHT)is a new method for dealing with non-linear and non-stationary data.By using this method,any signals can be decomposed into a finite number of intrinsic mode functions(IMF)and then Hilbert spectrum is obtained by Hilbert transform.In this paper,the new method is introduced in extracting dynamic properties of array acoustic signals.The energy time-frequency distribution can be effectively acquired.Several dynamic properties such as instantaneous energy,Hilbert energy and time-frequency distribution are extracted.And the advantage of HHT and its considerable significance for formation structural and textural analysis are shown.