New bidimensional empirical mode decomposition-based seismic attributes

This study presents time-frequency attributes based on the bidimensional empirical mode decomposition (2D EMD). This methods allows decomposition of a bidimensional signal into intrinsic mode functions (IMFs) (or modes). Application on Algerian seismic sections shows that meaningful attributes, specifically instantaneous Hilbert spectral amplitude attributes, that resulted from the computed IMFs help detect subtle hydrocarbon traps that cannot be identified by the conventional attributes.