Application of Instantaneous Spectral Attributes to Detect Oil-filled Channels

Seismic attributes are robust tools in interpretation of stratigraphic phenomena. Use of seismic attributes helps us to detect geological events which normally cannot be revealed in the seismic sections (such as channels). Channels filled with porous rocks and surrounded in a nonporous matrix play important role in stratigraphic explorations. Although coherence attribute and other edge-sensitive attributes are among the most popular tools of mapping channel boundaries, they are relatively insensitive to channel thickness. In contrast, instantaneous spectral attributes obtained using spectral decomposition due to sensitivity to variation of channel thickness can be used to delineate channel thickness. In this paper, we studied the utility of instantaneous spectral attributes extracted from spectral decomposition methods in detection of channels in one of the southwest Iran oil fields. We utilized combination of instantaneous spectral attributes with seismic coherence in order to better reveal channels. The results showed that the composite plots from combination of instantaneous spectral attributes and coherence illustrate the channel boundaries and thickness.