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Dynamic optimization of polymer flooding for high-salinity reservoir based on maximum principle

机译:基于最大原理的高盐度油藏聚合物驱动态优化

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摘要

Polymer flooding for high-salinity reservoir is one of the most important technologies for enhanced oil recovery (EOR). In this paper, an optimal control problem (OCP) of a distributed parameter system (DPS) is established, in which the functional of performance index is profit maximum and the governing equations are the fluid equations in porous media. The control variables are chosen as the polymer concentrations. The constraint conditions include boundary constraints and other inequality constraints. To cope with this OCP of DPS, the necessary conditions for optimality are obtained through application of Pontryagin's maximum principle. A gradient method is proposed for the computation of optimal injection strategies. The numerical results of an example for high-salinity reservoir illustrate the effectiveness of the proposed method.
机译:高盐度油藏的聚合物驱是提高采油率(EOR)的最重要技术之一。本文建立了一个分布式参数系统(DPS)的最优控制问题(OCP),其中性能指标的功能是利润最大化,控制方程为多孔介质中的流体方程。选择控制变量作为聚合物浓度。约束条件包括边界约束和其他不等式约束。为了应对DPS的这种OCP,通过应用Pontryagin的最大原理获得了优化的必要条件。提出了一种梯度方法来计算最佳注入策略。以高盐度储层为例的数值结果说明了该方法的有效性。

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