Progress on Empirical Mode Decomposition based techniques and its impacts on seismic attribute analysis

摘要

Spectral decomposition plays a significant role in seismic data processing and is commonly used to generate seismic attributes useful for interpretation and reservoir characterization. Among several techniques to this finality, the Complete Ensemble Empirical Mode Decomposition (CEEMD) is an alternative procedure that has proven higher spectral-spatial resolution than the short-time Fourier transform or wavelet transform, thus offering potential to highlighting subtle geologic structures that might otherwise be overlooked. In this study, we analyze a recent development in CEEMD, which is called Improved CEEMD (ICEEMD), and its impacts on seismic attribute commonly used in the Empirical Mode Decomposition (EMD) framework. By replacing the estimation of modes by the estimation of local means, the mode mixing and the presence of noise in the modes are reduced. Application on a synthetic and real data demonstrates that ICEEMD improve the signal decomposition and the energy concentration in the time-frequency representation, thus offering a better understanding of the analyzed signal.