Research Article | | Peer-Reviewed

Modelling and Simulation of a 3-D Reservoir for Enhanced Oil Recovery of ‘X’ Field in the Niger Delta Using Eclipse Software

Received: 8 January 2024     Accepted: 24 January 2024     Published: 30 August 2024
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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.

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

Keywords

Python Software, Eclipse Software, Modelling, Surfactant-Polymer Flooding

References
[1] Abbas M. & Olafuyi O. (2015). Application of Cubic Spline Numerical Modelling on Displacement Mechanism. Petroleum & Coal 57(3) pp 225-233.
[2] Agi A., Radzuan J., Jeffrey G., & Onyekonwu M. (2018). Natural Polymer Flow Behavior in Porous Media for Enhanced Oil Recovery Applications: A Review. Journal of Petroleum Exploration and Production Technology. 8: pp 1349–1362.
[3] Akpan E. A., Ogolo O., Ogiriki S., Aminu Y. K. & Daniel A., (2019). Numerical Simulation of Enhanced Oil Recovery Using Gum Arabic Polymer. Petroleum and Coal. 61(4) pp 660-671.
[4] Bao K., Lie A., Mayner, O. & Liu, M. (2017). Fully Implicit Simulation of Polymer Flooding with MRST. Computational Geosciences. (10), pp 20-35.
[5] Datta-Gupta A., Pope G. A., Sepehrnoori, K. & Thrasher R. L. (2018). A Symmetric, Positive Definite Formulation of a Three-Dimensional Micellar/Polymer Simulator. SPE Reservoir Engineering, vol. 1, no. 6, pp. 622-632.
[6] Dogru, A. H., Mitsuishi, H. & Yamamoto, R. H. (2019). Numerical Simulation of Micellar Polymer Field Processes, In: SPE Paper 13121, SPE Annual Technical Conference, Houston, Texas.
[7] Ertekin, T., Abou-Kassem, J. H., & King, G. R. (2007). Basic Applied Reservoir Simulation, Society of Petroleum Engineers Textbook Series, Volume 10, Richardson, Texas, USA.
[8] Izuwa N. C., Ihekoronye K. K., Obah B. O., & Nnakaihe S. E. (2019). Evaluation of Low Salinity Polymer Flooding in the Niger Delta Oil Fields. Journal of Advanced Research in Petroleum Technology & Management, Volume 5, Issue 3, Pp. No. 17-38.
[9] Izuwa N. C., Nwogu N. C., Williams C. C., Ihekoronye K. K., Okereke N. U. & Onyejekwe M. I. (2021). Experimental Investigation of Impact of Low Salinity Surfactant Flooding for Enhance Oil Recovery: Niger Delta Field Application. Journal of Petroleum and Gas Engineering. Vol. 12 (2), pp. 55-64.
[10] Onyekonwu M. O. & Sunmonu R. M. (2017). Enhanced Oil Recovery using Foam/Polymer Injection; A Mechanistic Approach. SPE 167589. Presented at the Nigeria Annual International Conference and Exhibition held in Lagos, Nigeria.
[11] Pope, G. A. & Nelson, R. C. (2018). A Chemical Flooding Compositional Simulator, SPE Journal, vol. 18, no. 5, pp. 339-354.
[12] Sowunmi, A., Vincent E. E., Orodu O. D., Oluwasanmi O., & Oputa A. (2022). Comparative Study of Biopolymer Flooding: A Core Flooding and Numerical Reservoir Simulator Validation Analysis. Hindawi Modelling and Simulation in Engineering, Volume 2, pp 1-12.
[13] Scott, T., Sharpe, S. R., Sorbie, K. S., Clifford, P. J., Roberts, L. J., & Oakes, J. A. (2017). A General-Purpose Chemical Flood Simulator”, SPE Paper 16029, In: Symposium on Reservoir Simulation, San Antonio, Texas.
[14] Todd, M. R. & Chase, C. A. (2016). A Numerical Simulator for Predicting Chemical Flood Performance, In: SPE Paper 7689, Reservoir Simulation Symposium, pp 1-10.
Cite This Article
  • 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

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    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

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    AMA Style

    Kelechi IK, Zwalatha MR, Ibrahim CA, 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

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  • @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}
    }
    

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  • 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  - 

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Author Information
  • Department of Petroleum Engineering, Abubakar Tafawa Balewa University (ATBU), Bauchi, Nigeria

  • Department of Petroleum Engineering, Abubakar Tafawa Balewa University (ATBU), Bauchi, Nigeria

  • Department of Petroleum Engineering, Abubakar Tafawa Balewa University (ATBU), Bauchi, Nigeria

  • Department of Petroleum Engineering, Federal University of Technology Owerri, Nigeria

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