Spectral decomposition using general linear chirplet transform
Yucheng Huang, Xiaodong Zheng · 2017
This paper introduces a new time-frequency analysis method, which is called General Linear Chirplet Transform (GLCT), into seismic data interpretation. The GLCT method is an extended form of the linear chirplet transform (LCT) by scanning the chirp rates of chirplet atoms at each time-frequency point and picking the one with the maximum projection upon seismic signals under analysis. The chirplet is a generalized wavelet with time-varying frequency and LCT is a subspace of chirplet transform encompassing short time Fourier transform (STFT) and continuous wavelet transform (CWT). Therefore, GLCT, being a generalized form of STFT and CWT as well, could adaptively fit the instantaneous frequency of seismic signals and produce higher energy concentration in the time-frequency plane without cross-terms interferences, enabling a better time-frequency resolution than STFT and CWT, particularly at the low and high frequency ends. The synthetic and the field data examples demonstrated that GLCT could produce spectral decomposition results with considerably robust and improved performance in stratigraphic visualization and hydrocarbon detection in contrast with conventional methods, making it a potential tool in reservoir characterization. Presentation Date: Thursday, September 28, 2017 Start Time: 8:30 AM Location: 340A Presentation Type: ORAL