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Abstract

The application of Intelligent Well Technology (IWT) to improve efficiency of a polymer flooding operation has been studied under three cases using a 3D model implemented in reservoir simulation software. The base case was the simulation study of a polymer flood with a relatively low oil recovery, which led to the least produced water into the producer well. The second case was incorporating IWT into the producer well where production control was achieved via the operation of inflow control valves (ICVs) installed in each productive segment of the wells. The reactive control strategy responded to changes in segment water cut, which led to improved sweep and, hence, oil recovery at 63 %. A third case was considered where injection control was performed via the same conditions as the producer well but, in this instance, the outflow control valves (OCVs) responded to changes in water cut at the injection wells. This oil recovery under injection control also improved to 68 %, but with higher water cuts. The study results showed that a better sweep of oil is possible despite the high water cuts when downhole segment conditions are adequately responded to. Thus, concluding that polymer flooding can be improved by incorporating IWT through production or injection control for a multi-layered heterogeneous reservoir.

Keywords

Polymer Flood Intelligent Well Technology Reservoir Simulation Reactive Control Strategies

Article Details

References

  1. Addiego-Guevara, E., Jackson, M. D. and Giddins, M. A. (2008). Insurance value of intelligent well technology against reservoir uncertainty. In: SPE Symposium on Improved Oil Recovery, Tulsa, Oklahoma, USA, April 2008. OnePetro.
  2. Alvarado, V. and Manrique, E. (2010). Enhanced oil recovery: An update review. Energies, 3 (9), pp. 1529-1575. https://doi.org/10.3390/en3091529
  3. Asadollahi, M. (2012). Waterflooding optimization for improved reservoir management. PhD Thesis. Norwegian University of Science and Technology, Norway.
  4. Asadollahi, M. and Naevdal, G. (2009). Waterflooding optimization using gradient based methods. In: SPE/EAGE Reservoir Characterization and Simulation Conference. Abu Dhabi, UAE, October 2009. European Association of Geoscientists & Engineers, pp. cp-170.
  5. Awan, K., Al-Mjeni, R., Al-Abri, K., Rajhi, S., Al-Azri, N., Al-Bulushi, N., et al. (2014). Polymer field trial: deployment of intelligent technologies for horizontal wells and real-time approach for surveillance. In: SPE EOR Conference at Oil and Gas West Asia, Muscat, Oman, March 2014. OnePetro.
  6. Camargo, E., Aceros, E. and Aguilar, J. (2015). Intelligent well systems. In: 2015 Asia-Pacific Conference on Computer-Aided System Engineering, July 2015, pp. 13–18.
  7. Carvajal, G. A., Wang, F., Lopez, C., Cullick, A. S., Al-Jasmi, A. and Goel, H. K. (2013). Optimizing the waterflooding performance of a carbonate reservoir with internal control valves. In: 75th EAGE Conference and Exhibition incorporating SPE EUROPEC, June 2013, cp348-00623. https://doi.org/10.3997/2214-4609.20130155
  8. Dawson, R. and Lantz, R. B. (1972). Inaccessible pore volume in polymer flooding. Society of Petroleum Engineers Journal, 12 (05), pp. 448-452.
  9. Jalali, M., Embry, J.-M., Sanfilippo, F., Santarelli, F. J. and Dusseault, M. B. (2016). Cross-flow analysis of injection wells in a multilayered reservoir. Petroleum, 2 (3), pp. 273-281.
  10. Wang, D., Chen, J., Wu, J., and Wang, G. (2005). Application of polymer flooding technology in Daqing Oilfield. Acta Petrolei Sinica, 26 (1), pp. 74-78.
  11. Kamal, M. S., Sultan, A. S., Al-Mubaiyedh, U. A. and Hussein, I. A. (2015). Review on polymer flooding: rheology, adsorption, stability, and field applications of various polymer systems. Polymer Reviews, 55 (3), pp. 491–530.
  12. Kargozarfard, Z., Riazi, M. and Ayatollahi, S. (2019). Viscous fingering and its effect on areal sweep efficiency during waterflooding: an experimental study. Petroleum Science, 16 (1), pp. 105-116. https://doi.org/10.1007/s12182-018-0258-6.
  13. Li, S., Lei, Y. and Zhang, X. (2013). Optimal control of polymer flooding for enhanced oil recovery. International Journal of Modelling, Identification and Control, 18 (2), pp. 89-99.
  14. Needham, R. B. and Doe, P. H. (1987). Polymer flooding review. Journal of Petroleum Technology, 39 (12), pp. 1503-1507. https://doi.org/10.2118/17140-PA.
  15. Pinto, M. S., Herrera, D. M. and Angarita, J. C. G. (2018). Production optimization for a conceptual model through combined use of polymer flooding and intelligent well technology under uncertainties. Fuentes, El Reventón Energético, 16 (1), pp. 37–45.
  16. Rhudy, J.S., Gogarty, W.B., Knight, B.L. and Fullinwider, J.H., Marathon Oil Co, (1977). Polymer flooding in high permeability reservoirs. U.S. Patent 4,011,910.
  17. Sarkodie, K., Afari, S. A. and Aggrey, W. N. (2014). Intelligent well technology-dealing with gas coning problems in production wells. International Journal of Applied Scence and Technology, 4 (5), pp. 121–135.
  18. Sheng, J. J. (2013). Polymer flooding - fundamentals and field cases. In: Sheng, J. J. (ed), Enhanced oil recovery field case studies. Waltham: Gulf Professional Publishing, pp. 63-82. https://doi.org/10.1016/B978-0-12-386545-8.00003-8.
  19. Sheng, J. J., Leonhardt, B. and Azri, N. (2015). Status of polymer-flooding technology. Journal of Canadian Petroleum Technology, 54 (2), pp. 116–126. https://doi.org/10.2118/174541-PA.
  20. Sorbie, K. S. (1991). Introduction to polymer flooding. In: Polymer-Improved Oil Recovery. Dordrecht: Springer. https://doi.org/10.1007/978-94-011-3044-8_1.
  21. Torrealba, V. A. and Hoteit, H. (2019). Improved polymer flooding injectivity and displacement by considering compositionally-tuned slugs. Journal of Petroleum Science and Engineering, 178, pp. 14-26. https://doi.org/10.1016/j.petrol.2019.03.019.
  22. Urbissinova, T. S. and Kuru, E. (2010). Effect of elasticity during viscoelastic polymer flooding: a possible mechanism of increasing the sweep efficiency. Journal of Canadian Petroleum Technology, 49 (12), pp. 49-56. https://doi.org/10.2118/133471-PA