Application of Spectral Decomposition to Detection of Fracture‐Cavity Carbonate Reservoir Beds in the Tahe Oilfield, Tarim Basin, NW China

Abstract: Ordovician fracture‐cavity carbonate reservoir beds are the major type of producing formations in the Tahe oilfield, Tarim Basin. The seismic responses of these beds clearly changes depending on the different distance of the fracture‐cavity reservoir bed from the top of the section. The seismic reflection becomes weak or is absent when the fracture‐cavity reservoir beds are less than 20 ms below the top Ordovician. The effect on top Ordovician reflection became weaker with deeper burial of fracture‐cavity reservoir beds but the developed deep fracture‐cavity reservoir beds caused stronger reflection in the interior of the Ordovician. This interior reflection can be divided into strong long‐axis, irregular and bead string reflections, and was present 80 ms below the top Ordovician. Aimed at understanding reflection characteristics, the spectral decomposition technique, which uses frequency to “tune‐in” bed thickness, was used to predict Ordovician fracture‐cavity carbonate formations in the Tahe oilfield. Through finely adjusting the processing parameters of spectral decomposition, it was found that the slice at 30 Hz of the tuned data cube can best represent reservoir bed development. Two large N‐S‐trending strong reflection belts in the mid‐western part of the study area along wells TK440‐TK427‐TK417B and in the eastern part along wells TK404‐TK409 were observed distinctly on the 30 Hz slice and 4‐D time‐frequency data cube carving. A small N‐S trending reflection belt in the southern part along wells T403‐TK446B was also clearly identified. The predicted reservoir bed development area coincides with the fracture‐cavities connection area confirmed by drilling pressure testing results. Deep karst cavities occur basically in three reservoir bed‐development belts identified by the Ordovician interior strong reflection. Spectral decomposition proved to be a useful technique in identifying fracture‐cavity reservoir beds.