Abstract Oil field management is gaining significant importance with CO2 injection. The application of a completion strategy and utilization of appropriate downhole equipment is a vital aspect of a prolific producing well. In recent applications, another aspect that has been gaining attention is an intelligent completion system. This study investigates the details of oil recovery utilizing horizontal wells with intelligent completion modeled in a professional reservoir simulation package. Three different patterns with varying geometries formed of a certain number of clusters are designed from a drilling completion perspective, and a reservoir simulation is conducted to investigate the influence of intelligent completions. Results reveal that oil recovery factors were improved in horizontal wells with CO2 injection. Implementation of intelligent completion scenarios resulted in preventing increased CO2 velocity ranges in the middle parts of the horizontal wells, and in increasing recovery factors. It was observed that the beginning of CO2 production was synchronized with rapid alteration in injection pressures and production rates. The findings showed that well configurations with lower cross-sectional pattern areas required earlier CO2 injection and hence, greater recovery factors in the early stages of the reservoir development.

中文翻译：

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智能水平完井应用数值研究

摘要 随着 CO2 注入，油田管理变得越来越重要。完井策略的应用和适当的井下设备的使用是多产井的重要方面。在最近的应用中，另一个受到关注的方面是智能完井系统。本研究调查了在专业油藏模拟包中建模的智能完井水平井的石油采收细节。从完井角度设计了由一定数量的簇形成的不同几何形状的三种不同模式，并进行了油藏模拟以研究智能完井的影响。结果表明，CO2 注入水平井提高了采油率。智能完井方案的实施可防止水平井中部的 CO2 速度范围增加，并提高采收率。据观察，CO2 生产的开始与注入压力和生产率的快速变化同步。研究结果表明，横截面面积较小的井配置需要更早的 CO2 注入，因此在油藏开发的早期阶段需要更大的采收率。