Integrated-reservoir-model-based critical oil rate correlation for vertical wells in thin oil rim reservoirs in the Niger Delta

  • Authors

    • Anietie Ndarake Okon UNIVERSITY OF UYO
    • Dulu Appah UNIVERSITY OF PORT HARCOURT
    2018-08-21
    https://doi.org/10.14419/ijet.v7i3.15426
  • Water Coning, Critical Oil Rate, Integrated Reservoir Model, Thin Oil Rim Reservoir, Niger Delta.

  • Abstract

    Thin oil rim reservoirs are mostly characterized by development and production challenges; one of which is early water coning tendency. In the Niger Delta, most developed critical oil rate correlations to avert coning focused on conventional bottom-water drive reservoirs, while thin oil rim reservoirs received limited attention. Available correlations to estimate critical oil rate of thin oil rim reservoirs in Niger Delta are based on generic reservoir models, which does not consider the reservoir heterogeneity. Hence, it leaves these available correlations’ predictions in doubt, considering the sensitive nature of developing thin oil rim reservoirs. Thus, a correlation for critical oil rate (qc) based on integrated reservoir model in the Niger Delta was develop for thin oil rim reservoirs using multivariable numerical optimization approach. The obtained result indicated that the developed correlation predicted 226.05 bbl/day compared to the actual Oilfield critical oil rate of 226.11 bbl/day. Furthermore, sensitivity study indicated that the developed correlation and the integrated reservoir model predictions of fractional well penetration (hp/h) and height below perforation - oil column (hbp/h) on critical oil rate (qc) were close and resulted in coefficient of determination (R2) of 0.9266 and 0.9525, Chi square (X2) of 0.539 and 0.655, and RMSE of 4.336 and 4.357. Additionally, the results depict that critical oil rate depends indirectly on fractional well penetration and directly on height above perforation for vertical wells. Therefore, to delay water-coning tendency in thin oil rim reservoirs these completion parameters are consideration in vertical wells to establish optimum critical oil rate during hydrocarbons production. Also, the developed correlation can be used as a quick tool to estimate critical oil rate of thin oil rim reservoirs in the Niger Delta.

     

     

  • References

    1. [1] S.M. Saad, T. Darwich, Y. Asaad, Water coning in fractured basement reservoirs. Paper presented at Society of Petroleum Engineers Middle East Oil Show, Bahrain, 11-14 March, (1995) 1-10. https://doi.org/10.2118/29808-MS.

      [2] K.B. Ayeni, Empirical modeling and simulation of edgewater cusping and coning. PhD. Dissertation, Texas A&M University, USA. (2008).

      [3] A.N. Okon, D. Appah, J.U. Akpabio, A critical evaluation of water coning correlations in vertical wells. American Journal of Science, Engineering and Technology, Vol. 3, No. 1, (2018) 1-9.

      [4] M. Mahgoup, E. Khair, Excessive water production diagnostic and control – case study of Jake oil field – Sudan. International Journal of Sciences: Basic and Applied Research, Vol. 23, No. 2, (2015) 81-94.

      [5] S.I. Onwukwe, A novel approach for estimating critical rate and horizontal well placement in oil rim reservoirs. Unpublished PhD Thesis, Federal University of Technology, Owerri, Nigeria. (2011).

      [6] O. Mogbo, Intelligent wells: oil rims abundant in the Niger Delta - a case study. Paper presented at the Trinidad and Tobago Energy Resources Conference held in Port of Spain, Trinidad, 27-30 June, (2010) 1-8. https://doi.org/10.2118/133389-MS.

      [7] A.N. Okon, D. Appah, J.U. Akpabio, Water coning prediction review and control: developing an integrated approach. Journal of Scientific Research and Reports, Vol. 14, No. 4, (2017) 1-24. https://doi.org/10.9734/JSRR/2017/33291.

      [8] S.O. Osisanya, B. Recham, M. Touami, Effects of water coning on the performance of vertical and horizontal wells – a reservoir simulation study of Hassi R’ Mel Field, Algeria. Paper presented at the Canadian International Petroleum Conference, Calgary, Alberta, Canada, 4-8 June, (2000).

      [9] J.E. Omeke, A. Livinus, I.N. Uche, B. Obah, E. Ekeoma, A proposed cone breakthrough time model for horizontal wells in thin oil rim reservoirs. Paper presented at the 34th Annual Society of Petroleum Engineers International Conference and Exhibition, Tinapa, Calabar, Nigeria, 31 July-7 August, (2010) 1-11. https://doi.org/10.2118/140743-MS.

      [10] S.I. Onwukwe, B. Obah, G.A Chukwu, A model approach of controlling coning in oil rim reservoirs. Paper presented at the Nigerian Annual Technical Conference and Exhibition of Society of Petroleum Engineers, Abuja, 6-8 August, (2012) 1-10. https://doi.org/10.2118/163039-MS.

      [11] M.A. Abdulkarim, Development of coning correlations for oil rim reservoirs using experimental design and response surface methodology. Unpublished M.Sc. Thesis, African University of Science and Technology, Abuja, Nigeria. (2014).

      [12] A.N. Okon, F.D. Udoh, D. Appah, Empirical wellhead pressure - production rate correlations for Niger Delta oil wells. Paper presented at the Society of Petroleum Engineers Nigeria Annual International Conference and Exhibition, Lagos, Nigeria, 4-6 August, (2015) 1-17.

      [13] A.N. Okon, D. Appah, Neural network models for predicting wellhead pressure – flow rate relationship for Niger Delta. Journal of Scientific Research and Reports, Vol. 12, No. 1, (2016). 1-14. https://doi.org/10.9734/JSRR/2016/28715.

      [14] L.A. Hoyland, P. Papatzacos, S.M. Skjaeveland, Critical rate for water coning: correlation and analytical solution. Paper presented at the Society of Petroleum Engineers European Petroleum Conference, London, 20-22 October, (1989) 1-8. https://doi.org/10.2118/15855-PA.

      [15] R. Recham, S.O. Osisanya, M. Touami, Effect of Water coning on the performance of vertical and horizontal wells – a reservoir simulation study of Hassi R’mel field, Algeria. Paper presented at Society of Petroleum Engineers/Petroleum Society of Canadian Institute of Mining, Metallurgy and Petroleum International Conference on Horizontal Well Technology, Calgary, Alberta, Canada, 6-8 November, (2000) 1-12. https://doi.org/10.2118/65506-MS.

      [16] A.K. Permadi, New empirical correlation for predicting water breakthrough time of a vertical well in a bottom-water reservoir. Jurnal Teknologi Mineral. https://petroleumstudies.files.wordpress.com/2009/03/11.pdf. Accessed 10 May 2017.

      [17] J. Wei, Multivariate numerical optimization. Lecture note. (2013). https://studentportalen.uu.se/uusp-filearea-tool. Accessed: 1June 2018.

      [18] G.K. Smyth, Optimization and nonlinear equations. Wiley StataRef: Statistics Reference Online. (2015) 1-9. doi: 10.1002/9781118445112.stat05030.pub2. https://doi.org/10.1002/9781118445112.stat05030.pub2.

      [19] M. Pashaie, M. Sadeghi A. Jafarian, Artificial neural networks with Nelder-Mead optimization method for solving nonlinear integral equations. Journal of Computer Science and Application, Vol. 8, No. 1, (2016) 1-20.

  • Downloads

  • How to Cite

    Ndarake Okon, A., & Appah, D. (2018). Integrated-reservoir-model-based critical oil rate correlation for vertical wells in thin oil rim reservoirs in the Niger Delta. International Journal of Engineering & Technology, 7(3), 1757-1761. https://doi.org/10.14419/ijet.v7i3.15426

    Received date: 2018-07-11

    Accepted date: 2018-08-10

    Published date: 2018-08-21