An Algorithm to Optimize Water Injection Temperature for Thermal Recovery of High Pour Point Oil

YU Peng, Shengqiang Zhang
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Abstract

With the advancement of conventional water displacement technology, cold damage may affect the vicinity of high pour point oil wells to a certain extent. Thus, the optimization of thermal recovery parameters of high pour point oil is of great significance to the oil field. In this study, a comprehensive model of the temperature distribution of the wellbore fluid was constructed, and the function of f(tD) was introduced to participate in the calculation of the thermal resistance of the formation. The temperature distribution along the wellbore was calculated and simulated under different conditions. The results show that the surface water injection temperature of 60.8℃ could ensure the desired water temperature reaching the target layer, and the injection temperature of 60.4°C could meet the needs of efficient development after considering the design of the 750-m insulated tubing. The final thermal recovery parameter optimization system could provide a theoretical reference for the thermal recovery design of the same type of reservoir.
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高凝点油热采注水温度优化算法
随着常规驱水技术的进步,冷损伤可能在一定程度上影响高凝点油井附近。因此,高凝油热采参数的优化对油田开发具有重要意义。本研究构建了井筒流体温度分布的综合模型,引入f(tD)函数参与地层热阻计算。计算并模拟了不同条件下井筒温度分布。结果表明:考虑750 m保温管的设计,60.8℃的地表注水温度可以保证所需的水温达到目标层,60.4℃的注水温度可以满足高效开发的需要。最终建立的热采参数优化体系可为同类型油藏的热采设计提供理论参考。
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