SPE Drilling & Completion
Volume 26, Number 1, March 2011, pp. 52-59

SPE-119833-PA

Partition Perforation Optimization for Horizontal Wells Based on Genetic Algorithms

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DOI  More information 10.2118/119833-PA http://dx.doi.org/10.2118/119833-PA

Citation

  • Wang, Z., Wei, J., and Jin, H. 2011. Partition Perforation Optimization for Horizontal Wells Based on Genetic Algorithms. SPE Drill & Compl  26 (1): 52-59. SPE-119833-PA. doi: 10.2118/119833-PA.

Discipline Categories

  • 1.3.2 Horizontal/Multilateral Wells
  • 1.5.2 Perforating
  • 1.6.2 Evaluation of Inflow

Keywords

  • parameters optimization , fish-bone horizontal wells, genetic algorithms, partitioned sections

Summary

Because of heterogeneity in permeability along horizontal wellbores, early water breakthrough and rapid water-cut increase are always observed in high-permeability completion intervals when a uniform perforating scheme, as a common practice, is applied throughout the wellbore. Optimization on perforation parameters along horizontal intervals helps homogenize the inflow-velocity profile and thus is critically important for enhanced oil recovery. This paper derives a coupled reservoir/wellbore flow model that is based on inflow-velocity-control theory. Genetic algorithms are applied to solve the model because they excel in obtaining the global optimal on discrete functions. The optimized perforating strategy applies a low perforation density in high-permeability intervals and high perforation density in low-permeability intervals. As a result, the inflow-velocity profile is homogenized and idealized.

© 2011. Society of Petroleum Engineers

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History

  • Original manuscript received: 4 November 2009
  • Revised manuscript received: 29 July 2010
  • Manuscript approved: 2 August 2010
  • Published online: 17 February 2011
  • Version of record: 11 March 2011