![]() ![]() ![]() In hydrocarbon exploration and production, the prediction of rock and fluid properties has remained the ultimate goal of seismic inversion and reservoir characterization employed in delineating hydrocarbon saturated reservoirs (Akpan et al. A distinctive spread and demarcation of the delineated hydrocarbon sand are observed in the PI attribute slice. Although the attributes considered reveals the same zone suspected to be probable hydrocarbon zone, PI gives a better discrimination when compared to other attributes. These attributes were: density, S-impedance, P-impedance, V Pā V S ratio and PI. Five seismic attributes slices were generated to ascertain the superiority of each attribute in delineating the probable reservoir sand. This value was employed in the inversion process to generate the PI attribute, which aided in reducing the non-uniqueness inherent in discriminating the probable reservoir sands. An average ā cā term value of 1.37 was obtained from the inverse of the slope of the crossplot of P-impedance versus S-impedance for Bonna-6 and Bonna-8 wells. The data set was simultaneously inverted to produce P- and S-impedances, density, V P ā V S, and PI seismic attributes. 3D seismic volume and two well logs data labelled Bonna-6 and Bonna-8 were employed in the inversion process. ![]()
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