Development and application of a new well pattern optimization algorithm for optimizing large-scale field development

Proceedings - SPE Annual Technical Conference and Exhibition

Volumn 3, Issue , 2009, Pages 1926-1943

  Onwunalu, J E ^a   Durlofsky, L J ^b  

^a Research Partnership to Secure Energy for America   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL TRANSFORMATIONS;

DEVELOPMENT AND APPLICATIONS; FIELD DEVELOPMENT; GEOLOGICAL UNCERTAINTY; GEOMETRIC TRANSFORMATIONS; OBJECTIVE FUNCTIONS; OPTIMIZATION METHOD; OPTIMIZATION VARIABLES; TWO STAGE OPTIMIZATIONS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78349272782     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/124364-ms     Document Type: Conference Paper

References (18)

1. M. B. Abdelhalim and S. E. D. Habib. Particle swarm optimization for HW/SW partitioning. 2009. In Particle Swarm Optimization, edited by Alexksandar Lazinica, pages 49-76.
2. H. Cao. Development of techniques for general purpose research simulator. PhD thesis, Stanford University, 2002.
3. S. A. Castro. A probabilistic approach to jointly integrate 3D/4D seismic, production data and geological information for building reservoir models. PhD thesis, Stanford University, 2007.
4. M. Clerc. Particle Swarm Optimization. iSTE, London, England, 2006.
5. F. R. Craig. The Reservoir Engineering Aspects ofWaterflooding. 1971. SPE Monograph Volume 3.
6. R. C. Eberhardt and J. Kennedy. A new optimizer using particle swarm theory. In Proceedings of the Sixth International Symposium on Micromachine and Human Science, pages 39-43, 1995.
7. A. P. Engelbrecht. Fundamentals of Computational Swarm Intelligence. Wiley, West Sussex, England, 2005.
8. Y. Jiang. Techniques for modeling complex reservoirs and advanced wells. PhD thesis, Stanford University, 2007.
9. J. Kennedy and R. C. Eberhardt. Particle swarm optimization. 1995. In Proceedings of the IEEE International Joint Conference on Neural Networks, pages 1942-1947, IEEE, December.
10. M. L. Litvak and P. F. Angert. Field development optimization applied to giant oil fields. 2009. Paper SPE 118840 presented at the SPE Reservoir Simulation Symposium, The Woodlands, Texas, 2-4 February.
11. M. L. Litvak, M. L. Gane, and L. McMurray. Field development optimization in a giant oil field in Azerbaijan and a mature oil field in the North Sea. 2007. Paper OTC 18526 presented at the Offshore Technology Conference, Houston, Texas, 30 April-3 May.
12. L. S. Mattot, A. J. Rabideau, and J. R. Craig. Pump-and-treat optimization using analytic element method flow models. Advances in Water Resources, 29:760-775, 2006.
13. J. E. Onwunalu and L. J. Durlofsky. Application of a particle swarm optimization algorithm for determining optimum well location and type. Computational Geosciences, April 2009. URL http://dx.doi.org/10.1007/sl0596-009- 9142-l.
14. U. Ozdoghan, A. Sahni, B. Yeten, B. Guyaguler, and W. H. Chen. Efficient assessment and optimization of a deepwater asset development using fixed pattern approach. 2005. Paper SPE 95792 presented at the Annual Technical Conference and Exhibition, Dallas, Texas, 9-12 October.
15. Y. Pan and R. N. Home. Improved methods for multivariate optimization of field development scheduling and well placement design. 1998. Paper SPE 49055 presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 27-30 September.
16. R. Poli, J. Kennedy, and T. Blackwell. Swarm Intelligence, (l):33-57, June 2007. URL http : //dx. doi. org/10 .1007/ S11721-0002-0.
17. Y. Shi and R. C. Eberhardt. A modified particle swarm optimizer. 1998. In Proceedings of the IEEE International Conference on Evolutionary Computation, pages 69-73, IEEE Press, May.
18. R. Volz, K. Burn, M. Litvak, S. Thakur, and S. Skvortsov. Field development optimisation of Siberian giant oil field under uncertainties. 2008. Paper SPE 116831 presented at the SPE Russian Oil and Gas Technical Conference and Exhibition, Moscow, Russia, 28-30 October.