Surfactant-polymer flooding is a tertiary enhanced oil recovery method used to recover oil that remained in the reservoir after the primary and secondary oil recovery mechanisms. Predicting the pressure in the reservoir is important for oil production as pressure changes with time. A suitable approach to achieve this task is to derive fluid flow equation based on the reservoir characteristics and solve them numerically which provide the solution to the mathematical fluid flow model (diffusivity equation). In this study, 3-D reservoir was modelled using Eclipse software. The fluid flow equations in a porous media were derived based on the simulated model and the reservoir conditions. Numerical solution using implicit formulation to solve the mathematical fluid flow model (diffusivity equation) was investigated by developing Python codes using Jupyter library to ascertain the pressure distribution for the reservoir and imported into Eclipse simulator. Simulation was carried out using surfactant-polymer and reservoir properties to determine the oil recovery. The results of the study showed that pressure increases with time as oil production continued, and water saturation decreased for the grid-cells of the reservoir. Waterflooding had oil recovery of 38.0% and water-cut of 59.0%, while surfactant flooding had oil recoveries of 42.0%, 46.5%, 49.0% and water-cut of 57.0%, 51.0%, 46.3%. In addition, polymer flooding had oil recoveries of 44.3%, 48.4%, 54.0% and water-cut of 50.0%, 45.0% and 33.0% respectively at different concentrations of 0.3%wt. 0.4%wt. and 0.5%wt.
Published in | American Journal of Mathematical and Computer Modelling (Volume 9, Issue 3) |
DOI | 10.11648/j.ajmcm.20240903.11 |
Page(s) | 54-67 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Python Software, Eclipse Software, Modelling, Surfactant-Polymer Flooding
Reservoir properties | Values |
---|---|
Grid-block dimensions (x, y, z) | Δx = 250 ft, Δy = 50 ft, Δz = 25 ft |
Oil viscosity ($\mu )$ | 1.2 cP |
Porosity ($\varnothing )$ | 0.25 |
Permeability (${K}_{x}$) | 0.010 Darcy |
Oil Formation Volume Factor, ${(B}_{o}$) | 1.12 rb/stb |
Total Compressibility, (${C}_{t}$) | 0.0000035 ${\mathit{psi}}^{-1}$ |
Initial Reservoir Pressure, (${P}_{i}$) | 3225 psia |
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APA Style
Kelechi, I. K., Zwalatha, M. R., Ibrahim, C. A., Hussein, M. (2024). Modelling and Simulation of a 3-D Reservoir for Enhanced Oil Recovery of ‘X’ Field in the Niger Delta Using Eclipse Software. American Journal of Mathematical and Computer Modelling, 9(3), 54-67. https://doi.org/10.11648/j.ajmcm.20240903.11
ACS Style
Kelechi, I. K.; Zwalatha, M. R.; Ibrahim, C. A.; Hussein, M. Modelling and Simulation of a 3-D Reservoir for Enhanced Oil Recovery of ‘X’ Field in the Niger Delta Using Eclipse Software. Am. J. Math. Comput. Model. 2024, 9(3), 54-67. doi: 10.11648/j.ajmcm.20240903.11
@article{10.11648/j.ajmcm.20240903.11, author = {Ihekoronye Kingsley Kelechi and Milton Roy Zwalatha and Caleb Abdullahi Ibrahim and Mohammed Hussein}, title = {Modelling and Simulation of a 3-D Reservoir for Enhanced Oil Recovery of ‘X’ Field in the Niger Delta Using Eclipse Software}, journal = {American Journal of Mathematical and Computer Modelling}, volume = {9}, number = {3}, pages = {54-67}, doi = {10.11648/j.ajmcm.20240903.11}, url = {https://doi.org/10.11648/j.ajmcm.20240903.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmcm.20240903.11}, abstract = {Surfactant-polymer flooding is a tertiary enhanced oil recovery method used to recover oil that remained in the reservoir after the primary and secondary oil recovery mechanisms. Predicting the pressure in the reservoir is important for oil production as pressure changes with time. A suitable approach to achieve this task is to derive fluid flow equation based on the reservoir characteristics and solve them numerically which provide the solution to the mathematical fluid flow model (diffusivity equation). In this study, 3-D reservoir was modelled using Eclipse software. The fluid flow equations in a porous media were derived based on the simulated model and the reservoir conditions. Numerical solution using implicit formulation to solve the mathematical fluid flow model (diffusivity equation) was investigated by developing Python codes using Jupyter library to ascertain the pressure distribution for the reservoir and imported into Eclipse simulator. Simulation was carried out using surfactant-polymer and reservoir properties to determine the oil recovery. The results of the study showed that pressure increases with time as oil production continued, and water saturation decreased for the grid-cells of the reservoir. Waterflooding had oil recovery of 38.0% and water-cut of 59.0%, while surfactant flooding had oil recoveries of 42.0%, 46.5%, 49.0% and water-cut of 57.0%, 51.0%, 46.3%. In addition, polymer flooding had oil recoveries of 44.3%, 48.4%, 54.0% and water-cut of 50.0%, 45.0% and 33.0% respectively at different concentrations of 0.3%wt. 0.4%wt. and 0.5%wt. }, year = {2024} }
TY - JOUR T1 - Modelling and Simulation of a 3-D Reservoir for Enhanced Oil Recovery of ‘X’ Field in the Niger Delta Using Eclipse Software AU - Ihekoronye Kingsley Kelechi AU - Milton Roy Zwalatha AU - Caleb Abdullahi Ibrahim AU - Mohammed Hussein Y1 - 2024/08/30 PY - 2024 N1 - https://doi.org/10.11648/j.ajmcm.20240903.11 DO - 10.11648/j.ajmcm.20240903.11 T2 - American Journal of Mathematical and Computer Modelling JF - American Journal of Mathematical and Computer Modelling JO - American Journal of Mathematical and Computer Modelling SP - 54 EP - 67 PB - Science Publishing Group SN - 2578-8280 UR - https://doi.org/10.11648/j.ajmcm.20240903.11 AB - Surfactant-polymer flooding is a tertiary enhanced oil recovery method used to recover oil that remained in the reservoir after the primary and secondary oil recovery mechanisms. Predicting the pressure in the reservoir is important for oil production as pressure changes with time. A suitable approach to achieve this task is to derive fluid flow equation based on the reservoir characteristics and solve them numerically which provide the solution to the mathematical fluid flow model (diffusivity equation). In this study, 3-D reservoir was modelled using Eclipse software. The fluid flow equations in a porous media were derived based on the simulated model and the reservoir conditions. Numerical solution using implicit formulation to solve the mathematical fluid flow model (diffusivity equation) was investigated by developing Python codes using Jupyter library to ascertain the pressure distribution for the reservoir and imported into Eclipse simulator. Simulation was carried out using surfactant-polymer and reservoir properties to determine the oil recovery. The results of the study showed that pressure increases with time as oil production continued, and water saturation decreased for the grid-cells of the reservoir. Waterflooding had oil recovery of 38.0% and water-cut of 59.0%, while surfactant flooding had oil recoveries of 42.0%, 46.5%, 49.0% and water-cut of 57.0%, 51.0%, 46.3%. In addition, polymer flooding had oil recoveries of 44.3%, 48.4%, 54.0% and water-cut of 50.0%, 45.0% and 33.0% respectively at different concentrations of 0.3%wt. 0.4%wt. and 0.5%wt. VL - 9 IS - 3 ER -