![]() Moon, 1994, Castagna, 2003), and Matching Pursuit Decomposition (MPD) (X. Popularly used spectral decomposition methods include Short windowed Fourier transorm (SWFT) (Partyka, 1999), Morlet wavelet based wavelet transorm (MWT) (X. Thus, spectral decomposition provides a technique to help seismic interpretations. ![]() And lithology and luid driven spectral variations, such as peak requency shiting due to attenuation and absorption, can be better delineated. In a geologically complex area, a target event s variations in amplitude as a unction o requency can be traced more clearly when viewed in terms o a requency band. It has proved to be very useul or seismic data interpretation, because decomposing data into its spectral components reveals stratigraphic and structural details that are oten obscured in the broadband data. Introduction Spectral decomposition is a novel technology developed in recent years. ![]() The results correlate very well with well logs and provide useul inormation or seismic interpretations. It has been used or heavy oil recovery and 4D SAGD monitoring cases and proved to be successul. Compared with several dierent spectral decomposition technologies, the generalized S transorm is believed to be eicient and provides good temporal and spectral resolution. Spectral decomposition can be utilized to help interpretations or such cases. 1 Xiaogui Miao*, CGGVeritas, Calgary, Canada, Dragana Todorovic-Marinic and Tyler Klatt, Encana, Calgary Canada Summary Most geologic changes have a seismic response but sometimes this is expressed only in certain spectral ranges, buried within the broadband data.
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