Abstract
3D seismic volume and two well logs data labelled Bonna-6 and Bonna-8 were employed in the inversion process. The data set was simultaneously inverted to produce P- and S-impedances, density, VP − VS, and PI seismic attributes. An average “c” 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. 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. Five seismic attributes slices were generated to ascertain the superiority of each attribute in delineating the probable reservoir sand. These attributes were: density, S-impedance, P-impedance, VP− VS ratio and PI. These attributes reveal low value of density (1.96 − 2.14 g/cc), P-impedance (1.8 × 104 − 2.1 × 104) ft/s*g/cc, S-impedance (9.2 × 103 − 1.1 × 104) ft/s*g/cc, VP − VS (1.65 − 1.72) and PI (4.9 × 103 − 5.1 × 104) ft/s*g/cc around the area inferred to be hydrocarbon saturated reservoir. Although the attributes considered reveals the same zone suspected to be probable hydrocarbon zone, PI gives a better discrimination when compared to other attributes. A distinctive spread and demarcation of the delineated hydrocarbon sand are observed in the PI attribute slice.
Highlights
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 2020)
From the enormous achievement of the Poisson’s impedance (PI) technique in the oil/gas sector that this study aims to employ PI in delineating hydrocarbon saturated reservoir and estimating the areal spread of the reservoir in Bonna field
The delineated hydrocarbon zone appears low across the five (5) seismic attribute slices considered in this study
Summary
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 2020). Accessible literature from different hydrocarbon producing basins across the globe reveals that PI attribute has been successfully applied in delineating hydrocarbon and brine saturated sands from shales (Haris et al 2017; Zhou and Hilterman 2010; Presteyo et al 2017; Omudu et al 2007; Zhou and Hilterman 2010; Tian et al 2010) It is from the enormous achievement of the PI technique in the oil/gas sector that this study aims to employ PI in delineating hydrocarbon saturated reservoir and estimating the areal spread of the reservoir in Bonna field. This will contribute to the increase in the production of the world’s most demand energy source (hydrocarbon) and boost the economy of Nigeria, which relies solely on oil exportation
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