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Dynamic optimization of polymer flooding with free terminal time based on maximum principle

机译:基于最大原理的具有自由末端时间的聚合物驱动态优化

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Polymer flooding is an important technology for enhanced oil recovery (EOR). In this paper, an optimal control model of distributed parameter systems (DPS) for polymer flooding is established, which involves the performance index as maximum of the profit, the governing equations as the seepage equations of polymer flooding, and some inequality constraints as polymer concentration and injection amount limitation. The injection polymer concentration and the terminal time of polymer flooding are chosen as control variables. For this distributed parameter optimal control problem (OCP) with free terminal time, a solution method based on maximum principle is proposed. Firstly, the free terminal time OCP of polymer flooding is transformed into a fixed final time problem by introducing a normalized time variable. Then through application of the maximum principle, adjoint equations and gradients of the objective functional are obtained to optimize the injection polymer concentration and the terminal time simultaneously. Finally, the numerical results of an example illustrate the effectiveness of the proposed method.
机译:聚合物驱是提高采油率(EOR)的重要技术。本文建立了聚合物驱的分布参数系统(DPS)的最优控制模型,该模型涉及性能指标为利润的最大值,控制方程为聚合物驱的渗流方程,以及一些不等式约束为聚合物浓度。和注射量限制。选择注入聚合物浓度和聚合物驱油的终止时间作为控制变量。针对带有自由终端时间的分布式参数最优控制问题,提出了一种基于最大原理的求解方法。首先,通过引入标准化时间变量,将聚合物驱的自由末端时间OCP转化为固定的最终时间问题。然后通过应用最大原理,得到目标函数的伴随方程和梯度,以同时优化注入聚合物的浓度和终止时间。最后,通过算例验证了所提方法的有效性。

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