Partition Perforation Optimization for Horizontal Wells Based on Genetic Algorithms
- Zhiming Wang (China University of Petroleum) | Jianguang Wei (China University of Petroleum) | Hui Jin (China University of Petroleum)
- Document ID
- Society of Petroleum Engineers
- SPE Drilling & Completion
- Publication Date
- March 2011
- Document Type
- Journal Paper
- 52 - 59
- 2011. Society of Petroleum Engineers
- 2.2.2 Perforating
- partitioned sections, genetic algorithms, fish-bone horizontal wells, parameters optimization
- 1 in the last 30 days
- 779 since 2007
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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.
|File Size||635 KB||Number of Pages||8|
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