Due to the differences in sedimentary parameters, as well as in the oil development and production conditions, the physical parameters of polymer flooding blocks are different, which affects the enhanced oil recovery effect of polymer flooding of the target reservoir. It has been noted that there is a significant difference in the extent of enhanced oil recovery between different polymer flooding well groups, which complicates production control and recovery effect evaluation of polymer flooding. To evaluate the adjustment standards for polymer flooding stages, it is necessary to formulate the recovery effect standard curves for different types of polymer flooding well groups. In this paper, the dynamic and static data of the polymer flooding block have been analyzed to determine the sensitivity of each factor affecting the well group classification. The well group classification method is established using the grey correlation method and mathematical statistical analysis method. Then, the EnKF method is used to invert the fitted parameter equations for different well groups. Through the combination of the EnKF method and the numerical simulation method, the physical parameters of polymer flooding and the relative permeability curves are used to predict the development effect of different types of well groups, and the development effect standards of different types of polymer flooding well groups are established.

由于沉积参数的差异，以及石油开发和生产条件的不同，聚合物驱区块的物理参数不同，影响了目标油藏聚合物驱提高采收率的效果。已经注意到，不同聚合物驱井组之间提高采收率的程度存在显着差异，这使得聚合物驱的生产控制和采收效果评价变得复杂。评价聚合物驱阶段的调整标准，需要针对不同类型的聚合物驱井组制定采收效果标准曲线。在本文中，对聚合物驱区块的动态和静态数据进行了分析，以确定影响井组分类的各个因素的敏感性。采用灰色关联法和数理统计分析方法建立井组分类方法。然后，使用EnKF方法对不同井组的拟合参数方程进行反演。通过EnKF方法与数值模拟方法相结合，利用聚合物驱物理参数和相对渗透率曲线预测不同类型井组的开发效果，以及不同类型聚合物驱油井的开发效果标准团体成立。采用灰色关联法和数理统计分析方法建立井组分类方法。然后，使用EnKF方法对不同井组的拟合参数方程进行反演。通过EnKF方法与数值模拟方法相结合，利用聚合物驱物理参数和相对渗透率曲线预测不同类型井组的开发效果，以及不同类型聚合物驱油井的开发效果标准团体成立。采用灰色关联法和数理统计分析方法建立井组分类方法。然后，使用EnKF方法对不同井组的拟合参数方程进行反演。通过EnKF方法与数值模拟方法相结合，利用聚合物驱物理参数和相对渗透率曲线预测不同类型井组的开发效果，以及不同类型聚合物驱油井的开发效果标准团体成立。