西南石油大学学报(自然科学版) ›› 2019, Vol. 41 ›› Issue (5): 142-149.DOI: 10.11885/j.issn.1674-5086.2018.09.12.02

Previous Articles     Next Articles

New Optimization Design Method for Perforation Parameter Based on Optimal Perforation Depth Analysis

LI Jin, XU Jie, WANG Kunjian, HAN Yaotu, QI Yanlai   

  1. State Key Laboratory of Offshore Oil Exploitation, Tianjin Branch of CNOOC Ltd., Binhai New Aera, Tianjin 300459, China
  • Received:2018-09-12 Online:2019-10-10 Published:2019-10-10

Abstract: As one of the main completion methods, perforated completion is especially important for the connection between reservoirs in cased wells, removal of the near-wellbore pollution, and maximization of production capacity. As such, design of the perforation parameter is the key to the effect of perforation. Existing design methods for perforation parameter mainly perform sensitivity analysis of the perforation parameter through surface calculations, and undertake parameter design according to curve shape, distribution density, and changing trend. As the calculation model for perforated surface does not effectively consider the influence of the flow friction of perforation tunnels, it is impossible to describe the accepted understanding of the relationship between the perforation depth and the production capacity accurately. Thus, the optimal perforation depth cannot be determined based on the results of parameter sensitivity analysis of the surface. From the perspective of fluid mechanics, the perforation tunnel can be viewed as equivalent to the horizontal well at microscale, and a coupled mathematical model of the flow between the reservoir and the perforation is established, which fully considers the influence of the flow friction of the perforation tunnels. Based on the Dikken optimization principle, a determination method for the optimal perforation depth is established, yielding a new design method for the perforation parameter based on optimal perforation depth analysis.

Key words: flow friction, coupled flow, optimal perforation depth, sensitivity analysis, perforation parameter, optimal design

CLC Number: