Modelling and mapping hydrocarbon saturated sand reservoir using Poisson’s impedance (PI) inversion: a case study of Bonna field, Niger Delta swamp depobelt, Nigeria
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, V P − V S , and PI seismic attributes. An average “c” term value of 1.37 was obtained from the in...
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Format: | Article |
Language: | English |
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SpringerOpen
2020-10-01
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Series: | Journal of Petroleum Exploration and Production Technology |
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Online Access: | https://doi.org/10.1007/s13202-020-01027-8 |
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author | Aniefiok Sylvester Akpan Francisca Nneka Okeke Daniel Nnaemeka Obiora Nyakno Jimmy George |
author_facet | Aniefiok Sylvester Akpan Francisca Nneka Okeke Daniel Nnaemeka Obiora Nyakno Jimmy George |
author_sort | Aniefiok Sylvester Akpan |
collection | DOAJ |
description | 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, 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 × 104 − 2.1 × 104) ft/s*g/cc, S-impedance (9.2 × 103 − 1.1 × 104) ft/s*g/cc, V P − V S (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. |
first_indexed | 2024-04-24T07:18:06Z |
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institution | Directory Open Access Journal |
issn | 2190-0558 2190-0566 |
language | English |
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publishDate | 2020-10-01 |
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series | Journal of Petroleum Exploration and Production Technology |
spelling | doaj.art-065e024abcf848a4bab3bd52a471fce42024-04-21T11:09:49ZengSpringerOpenJournal of Petroleum Exploration and Production Technology2190-05582190-05662020-10-0111111713210.1007/s13202-020-01027-8Modelling and mapping hydrocarbon saturated sand reservoir using Poisson’s impedance (PI) inversion: a case study of Bonna field, Niger Delta swamp depobelt, NigeriaAniefiok Sylvester Akpan0Francisca Nneka Okeke1Daniel Nnaemeka Obiora2Nyakno Jimmy George3Department of Physics and Astronomy, University of NigeriaDepartment of Physics and Astronomy, University of NigeriaDepartment of Physics and Astronomy, University of NigeriaDepartment of Physics, Akwa Ibom State UniversityAbstract 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 × 104 − 2.1 × 104) ft/s*g/cc, S-impedance (9.2 × 103 − 1.1 × 104) ft/s*g/cc, V P − V S (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.https://doi.org/10.1007/s13202-020-01027-8HydrocarbonPoisson’s impedanceShear impedanceCrossplotReservoir |
spellingShingle | Aniefiok Sylvester Akpan Francisca Nneka Okeke Daniel Nnaemeka Obiora Nyakno Jimmy George Modelling and mapping hydrocarbon saturated sand reservoir using Poisson’s impedance (PI) inversion: a case study of Bonna field, Niger Delta swamp depobelt, Nigeria Journal of Petroleum Exploration and Production Technology Hydrocarbon Poisson’s impedance Shear impedance Crossplot Reservoir |
title | Modelling and mapping hydrocarbon saturated sand reservoir using Poisson’s impedance (PI) inversion: a case study of Bonna field, Niger Delta swamp depobelt, Nigeria |
title_full | Modelling and mapping hydrocarbon saturated sand reservoir using Poisson’s impedance (PI) inversion: a case study of Bonna field, Niger Delta swamp depobelt, Nigeria |
title_fullStr | Modelling and mapping hydrocarbon saturated sand reservoir using Poisson’s impedance (PI) inversion: a case study of Bonna field, Niger Delta swamp depobelt, Nigeria |
title_full_unstemmed | Modelling and mapping hydrocarbon saturated sand reservoir using Poisson’s impedance (PI) inversion: a case study of Bonna field, Niger Delta swamp depobelt, Nigeria |
title_short | Modelling and mapping hydrocarbon saturated sand reservoir using Poisson’s impedance (PI) inversion: a case study of Bonna field, Niger Delta swamp depobelt, Nigeria |
title_sort | modelling and mapping hydrocarbon saturated sand reservoir using poisson s impedance pi inversion a case study of bonna field niger delta swamp depobelt nigeria |
topic | Hydrocarbon Poisson’s impedance Shear impedance Crossplot Reservoir |
url | https://doi.org/10.1007/s13202-020-01027-8 |
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