Simultaneous and sequential approaches to joint optimization of well placement and control

Computational Geosciences

Volumn 18, Issue 3-4, 2014, Pages 433-448

  Humphries, Thomas D ^a   Haynes, Ronald D ^a   James, Lesley A ^a  

^a MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

Author keywords

Black box optimization; Joint optimization; Particle swarm optimization; Pattern search; Production optimization; Well control; Well placement

Indexed keywords

ALGORITHM; CONTROL SYSTEM; OIL PRODUCTION; OIL WELL; OPTIMIZATION;

EID: 84890475010     PISSN: 14200597     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10596-013-9375-x     Document Type: Article

References (40)

1. Artus, V., Durlofsky, L., Onwunalu, J., Aziz, K.: Optimization of nonconventional wells under uncertainty using statistical proxies. Comput. Geosci. 10(4), 389-404 (2006).
2. Audet, C., Dennis, J.: A pattern search filter method for nonlinear programming without derivatives. SIAM J. Optim. 14(4), 980-1010 (2004).
3. Audet, C., Dennis, J.: Mesh adaptive direct search algorithms for constrained optimization. SIAM J. Optim. 17(1), 188-217 (2006).
4. Bangerth, W., Klie, H., Wheeler, M., Stoffa, P., Sen, M.: On optimization algorithms for the reservoir oil well placement problem. Comput. Geosci. 10, 303-319 (2006).
5. Bellout, M., Echeverría Ciaurri, D., Durlofsky, L., Foss, B., Kleppe, J.: Joint optimization of oil well placement and controls. Comput. Geosci. 16(4), 1061-1079 (2012).
6. Bittencourt, A., Horne, R.: Reservoir development and design optimization. Paper SPE 38895 Presented at the SPE Annual Technical Conference and Exhibition, San Antonio (1997).
7. Bouzarkouna, Z., Ding, D., Auger, A.: Using evolution strategy with meta-models for well placement optimization. In: 12th European Conference on Mathematics of Oil Recovery (ECMOR XII), Oxford (2010).
8. Brouwer, D., Jansen, J.: Dynamic optimization of water flooding with smart wells using optimal control theory. Paper SPE 78278 Presented at the SPE 13th European Petroleum Conference, Aberdeen, Scotland (2002).
9. Bukhamsin, A., Farshi, M., Aziz, K.: Optimization of multilateral well design and location in a real field using a continuous genetic algorithm. Paper SPE 136944 presented at the SPE/DGS Annual Technical Symposium, Al-Khobar (2010).
10. Clerc, M.: Particle Swarm Optimization. iSTE, London (2006).
11. Echeverría Ciaurri, D., Isebor, O., Durlofsky, L.: Application of derivative-free methodologies to generally constrained oil production optimization problems. Proc. Comput. Sci. 1(1), 1301-1310 (2010).
12. Echeverría Ciaurri, D., Mukerji, T., Durlofsky, L.: Derivative-free optimization for oil field operations. In: Yang, X. S., Koziel, S. (eds.) Computational Optimization and Applications in Engineering and Industry, Studies in Computational Intelligence, vol. 359, pp 19-55. Springer, Berlin (2011).
13. Emerick, A., Silva, E., Messer, B., Almeida, L., Szwarcman, D., Pacheco, M., Vellasco, M.: Well placement optimization using a genetic algorithm with nonlinear constraints. Paper SPE 118808 presented at the SPE Reservoir Simulation Symposium, The Woodlands (2009).
14. van Essen, G., van den Hof, P., Jansen, J.: Hierarchical long-term and short-term production optimization. SPE J. 16(1), 191-199 (2011).
15. Forouzanfar, F., Li, G., Reynolds, A.: A two-stage well placement optimization method based on adjoint gradient. Paper SPE 135304 presented at the SPE Annual Technical Conference and Exhibition, Florence (2010).
16. Güyagüler, B., Horne, R.: Uncertainty assessment of well-placement optimization. SPE Reserv. Eval. Eng. 7(1), 24-32 (2004).
17. Hu, X., Eberhart, R.: Solving constrained nonlinear optimization problems with particle swarm optimization. In: Proceedings of the Sixth World Multiconference on Systemics, Cybernetics and Informatics (2002).
18. Humphries, T., Haynes, R., James, L.: Simultaneous optimization of well placement and control using a hybrid global-local strategy. In: Proceedings of the 13th European Conference on the Mathematics of Oil Recovery (ECMOR XIII), Biarritz (2012).
19. Isebor, O., Durlofsky, L., Echeverría Ciaurri, D.: A derivative-free methodology with local and global search for the joint optimization of well location and control. In: Proceedings of the 13th European Conference on the Mathematics of Oil Recovery (ECMOR XIII), Biarritz (2012).
20. Jansen, J., Douma, S., Brouwer, D., van den Hof, P., Bosgra, O., Heemink, A.: Closed-loop reservoir management. Paper SPE 119098 Presented at the SPE Reservoir Simulation Symposium, The Woodlands, Texas (2009).
21. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, vol. 4, pp. 1942-1948 (1995).
22. Lewis, R., Torczon, V.: Pattern search algorithms for bound constrained minimization. SIAM J. Optim. 9(4), 1082-1099 (1999).
23. Li, L., Jafarpour, B.: Generalized field development optimization: Coupled well-placement and control under geologic uncertainty. In: Proceedings of the 13th European Conference on the Mathematics of Oil Recovery (ECMOR XIII), Biarritz (2012).
24. Li, L., Jafarpour, B.: A variable-control well placement optimization for improved reservoir development. Comput. Geosci. 16(4), 871-889 (2012).
25. Lie, K. A., Krogstad, S., Ligaarden, I., Natvig, J., Nilsen, H., Skaflestad, B.: Open-source MATLAB implementation of consistent discretisations on complex grids. Comput. Geosci. 1-26 (2011).
26. Nogueira, P. D. B., Schiozer, D.: An efficient methodology of production strategy optimization based on genetic algorithms. Paper SPE 122031 Presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, Cartagena, Colombia (2009).
27. NTNU IO Centre: Norne benchmark case. http://www. ipt. ntnu. no/~norne/ (2012). Accessed 23 March 2012.
28. Onwunalu, J., Durlofsky, L.: Application of a particle swarm optimization algorithm for determining optimum well location and type. Comput. Geosci. 14, 183-198 (2010).
29. Onwunalu, J., Durlofsky, L.: A new well-pattern-optimization procedure for large-scale field development. SPE J. 16(3), 594-607 (2011).
30. Ozdogan, U., Sahni, A., Yeten, B., Guyaguler, B., Chen, W.: Efficient assessment and optimization of a deepwater asset development using fixed pattern approach. Paper SPE 95792 Presented at the SPE Annual Technical Conference and Exhibition, Dallas (2005).
31. Peaceman, D.: Interpretation of well-block pressures in numerical reservoir simulation. SPE J. 18(3), 183-194 (1978).
32. Sarma, P., Chen, W., Durlofsky, L., Aziz, K.: Production optimization with adjoint models under nonlinear control-state path inequality constraints. SPE Reserv. Eval. Eng. 11(2), 326-339 (2008).
33. SINTEF Applied Mathematics: Matlab reservoir simulator toolbox v. 2012a. http://www. sintef. no/Projectweb/MRST/ (2012). Accessed 3 October 2012.
34. Vaz, A., Vicente, L.: Pswarm: a hybrid solver for linearly constrained global derivative-free optimization. Optim. Methods Softw. 24(4-5), 669-685 (2009).
35. Vaz, A., Vicente, L. N.: A particle swarm pattern search method for bound constrained global optimization. J. Glob. Optim. 39(2), 197-219 (2007).
36. Wang, C., Li, G., Reynolds, A.: Production optimization in closed-loop reservoir management. SPE J. 14(3), 506-523 (2009).
37. Yang, D., Zhang, Q., Gu, Y.: Integrated optimization and control of the production-injection operation systems for hydrocarbon reservoirs. J. Pet. Sci. Eng. 37, 69-81 (2003).
38. Yeten, B., Durlofsky, L., Aziz, K.: Optimization of nonconventional well type, location and trajectory. SPE J. 8(3), 200-210 (2003).
39. Zandvliet, M., Bosgra, O., Jansen, J., van den Hof, P., Kraaijevanger, J.: Bang-bang control and singular arcs in reservoir flooding. J. Petrol. Sci. Eng. 58, 186-200 (2007).
40. Zandvliet, M., Handels, M., van Essen, G., Brouwer, D., Jansen, J.: Adjoint-based well-placement optimization under production constraints. SPE J. 13(4), 392-399 (2008).