Published March 2021, Pg. 18-25

Section: Oil and gas field development and exploitation

UOT: 622.276.1/4

DOI: 10.37474/0365-8554/2021-3-18-25

Prediction methods for coning process

E.F. Veliyev Cand. in Tech. Sc. - “Oil-Gas Scientific Research Project” Institute

Keywords:  
water-oil factor
coning
prediction
mathematical modeling

Currently, the percentage of the mature fields steadily rise and the process of formation of water and gas cones becomes unavoidable. The prediction of this process is essential for successful field development. Correlation dependencies developed for this purpose can be divided into three main groups. The models in the first group are based on the analytical approach of definition of balance conditions for viscous and gravitational powers in the reservoir. The methods in the second group are based on empiric approach, i.e. on the data obtained as a result of laboratory experiments or computer modeling. The methods in the third group are based on numerical approach. The paper presents the analysis and classification of modern methods for prediction of coning process.

References:

1. Muskat, M. & Wycokoff, R.D. An approximate theory of water-coning in oil production. Transactionsofthe AIME, 1935, 114(01), pp. 144-163.

2. Høyland, L.A., Papatzacos, P. & Skjaeveland, S.M. Critical rate for water coning: correlation and analytical solution. SPE Reservoir Engineering, 1989, 4(04), рр. 495-502.

3. Boyun, G. & Lee, R.H. A simple approach to optimization of completion interval in oil/water coning systems. SPE reservoir engineering, 1993, 8(04), pp. 249-255.

4. Tabatabaei, M., Ghalambor, A. & Guo, B. An analytical solution for water coning in vertical wells. SPE Production & Operations, 2012, 27(02), pp. 195-204.

5. Piper, L.D. & Gonzalez Jr, F.M. (1987, January). Calculation of the critical oil production rate and optimum completion interval. In SPE production operations symposium. Society of Petroleum Engineers.

6. Abass, H.H. & Bass, D.M. (1988, January). The critical production rate in water-coning system. In Permian Basin Oil and Gas Recovery Conference. Society of Petroleum Engineers.

7. Bournazel, C. & Jeanson, B. (1971, January). Fast water-coning evaluation method. In Fall Meeting of the Society of Petroleum Engineers of AIME. Society of Petroleum Engineers.

8. Sobocinski, D.P. & Cornelius, A. (1965). A correlation for predicting water coning time. Journal of Petroleum Technology17(05), pp. 594-600.

9. Schols, R.S. Water coning–an empirical formula for the critical oil-production rate. Erdoel-Erdgas Zeitschrift, 1972, 88(1), pp. 6-11.

10. Mungan, N. Laboratory study of water coning in a layered model. Journal of Canadian Petroleum Technology, 1979, 18(03).

11. Khan, A.R. A scaled model study of water coning. Journal of Petroleum Technology, 1970, 22(06), pp. 771-776.

12. Rajan, V.S. & Luhning, R.W. Water coning suppression. Journal of Canadian Petroleum Technology, 1993, 32(04).

13. Welge, H.J. & Weber, A.G. Use of two-dimensional methods for calculating well coning behavior. Society of Petroleum Engineers Journal, 1964, 4(04), pp. 345-355.

14. MacDonald, R.C. Methods for numerical simulation of water and gas coning. Society of Petroleum Engineers Journal, 1970, 10(04), pp. 425-436.

15. Kaneko T, Mungan N. (1972). Oil well coning study. Petroleum Recovery Reserves Institute. Report, No. RR-18.

16. Byrne Jr, W.B. & Morse, R.A. (1973, January). The effects of various reservoir and well parameters on water coning performance. In SPE Symposium on Numerical Simulation of Reservoir Performance. Society of Petroleum Engineers.

17. Miller, R.T. & Rogers, W.L. (1973, January). Performance of oil wells in bottom water drive reservoirs. In Fall Meeting of the Society of Petroleum Engineers of AIME. Society of Petroleum Engineers.

18. Aziz, K., Settari, A., Kaneko, T. & Mungan, N. (1973, January). Some practical aspects of coning simulation. In Annual Technical Meeting. Petroleum Society of Canada.

19. Blades, D.N. & Stright, D.H. Predicting High Volume Lift Perfonnance In Wells Coning Water. Journal of Canadian Petroleum Technology, 1975, 14(04).

20. Abougoush, M.S. (1979, June). Correlation for performance prediction of heavy oil pools, Lloydminster Area. In Proceedings of the 1st UNITAR Conference, Edmonton, Alberta.

21. Kuo, M. C. T. (1983, January). A simplified method for water coning predictions. In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers.

22. Yang, W. & Wattenbarger, R.A. (1991, January). Water coning calculations for vertical and horizontal wells. In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers.

23. Menouar, H.K. & Hakim, A.A. (1995, January). Water coning and critical rates in vertical and horizontal wells. In Middle East Oil Show. Society of Petroleum Engineers.

24. Makinde, F.A., Adefidipe, O.A. & Craig, A.J. Water coning in horizontal wells: prediction of post-breakthrough performance. International Journal of Engineering & Technology, 2011, 11(01), рр. 1-27.

25. Salavatov T.Sh., Garib A.S. Izuchenie vliyaniya razlichnykh parametrov plasta i zhidkosti na protsess konusoobrazovaniya v gorizontal´nykh skvazhinakh // Nauchnye trudy NIPIneftegaz, 2010, (2), s. 31-41.

Links