Modelling and mapping hydrocarbon saturated sand reservoir using Poisson’s impedance (PI) inversion: a case study of Bonna field, Niger Delta swamp depobelt, Nigeria

• Published in: Journal of petroleum exploration and production technology 2021-01, Vol.11 (1), p.117-132
• Main Authors: Akpan, Aniefiok Sylvester, Okeke, Francisca Nneka, Obiora, Daniel Nnaemeka, George, Nyakno Jimmy
• Format: Article
• Language: English
• Subjects: Crossplot; Density; Earth and Environmental Science; Earth Sciences; Energy Systems; Geology; Hydrocarbon; Hydrocarbons; Impedance; Industrial and Production Engineering; Industrial Chemistry/Chemical Engineering; Monitoring/Environmental Analysis; Offshore Engineering; Original Paper-Exploration Geophysics; Poisson’s impedance; Reservoir; Reservoirs; Sand; Saturated hydrocarbons; Shear impedance; Swamps; Well logs
• ISSN: 2190-0558; 2190-0566
• DOI: 10.1007/s13202-020-01027-8

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, V P  −   V S , 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, V P −  V S ratio and PI. These attributes reveal low value of density (1.96 − 2.14 g/cc), P -impedance (1.8 × 10 4  − 2.1 × 10 4 ) ft/s*g/cc, S -impedance (9.2 × 10 3  − 1.1 × 10 4 ) ft/s*g/cc, V P  −  V S (1.65 − 1.72) and PI (4.9 × 10 3  − 5.1 × 10 4 ) 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.