A novel high-precision spectral decomposition method based on second-order synchrosqueezing transform and its application
Guo, Z.W. and Cao, S.Y., 2020. A novel high-precision spectral decomposition method based on second-order synchrosqueezing transform and its application. Journal of Seismic Exploration: 29, 159-172. Spectral decomposition plays a central role in characterizing multicomponent signals, as for instance seismic signal, because it can reveals lots of valuable information hidden in the broadband seismic response. This paper presents a new methodology for seismic spectral decomposition via second-order synchrosqueezing transform. Second-order synchrosqueezing transform, which relies on a second-order local estimate of the instantaneous frequency, can provide a sharpened time-frequency representation while allowing for the separation and the reconstruction of the modes. We validate our method by means of a synthetic model and compare with the conventional spectral decomposition algorithms. Two field examples are employed to illustrate that the seismic attributes delineation using the second-order synchrosqueezing transform based method gives a better reflection of hydrocarbon-saturated reservoirs and stratigraphic characteristics.
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