...
首页> 外文期刊>Petroleum science >Optimization of perforation distribution for horizontal wells based on genetic algorithms
【24h】

Optimization of perforation distribution for horizontal wells based on genetic algorithms

机译:基于遗传算法的水平井射孔分布优化

获取原文
           

摘要

Early water breakthrough and a rapid increase in water cut are always observed in high-permeability completion intervals when perforations are uniformly distributed in the wellbore in heterogeneous reservoirs. Optimization of perforating parameters in partitioned sections in horizontal intervals helps homogenize the inflow from the reservoir and thus is critically important for enhanced oil recovery. This paper derives a coupled reservoir-wellbore flow model based on inflow controlling theory. Genetic algorithms are applied to solving the model as they excel in obtaining the global optimum of discrete functions. The optimized perforating strategy applies a low perforation density in high-permeability intervals and a high perforation density in low-permeability intervals. As a result, the inflow profile is homogenized and idealized.
机译:当射孔均匀地分布在非均质油藏的井眼中时,总是在高渗透完井间隔中观察到早期的水突破和含水率的快速增加。在水平间隔的分区中优化射孔参数有助于使来自储层的流入量均匀化,因此对于提高采油率至关重要。本文基于入流控制理论推导了储层与井筒耦合流动模型。由于遗传算法擅长获得离散函数的全局最优值,因此将遗传算法应用于求解模型。优化的射孔策略在高渗透率层段应用低射孔密度,在低渗透率层段施加高射孔密度。结果,流入轮廓被均质化和理想化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号