A numerical simulation of polymer linked profile control flooding was developed to study enhanced oil recovery mechanisms and to predict the recovery rate for polymer linked profile control flooding.
为了优化聚合物交联调剖驱油方案，预测驱油效果，建立了描述聚合物交联调剖驱油过程的数学模型。
The influences of additive, polymer concentration, profile control and flooding agent(PFA), gel and gel breaking liquid on the characteristics of the microbial were evaluated.
采用不同微生物，研究了调驱剂中主要添加剂、聚合物浓度、调驱剂溶液、调驱剂的成胶体及破胶液对微生物性能的影响。
If this model will be incorporated into the black-oil model, it can match core flooding result of LPS deep profile control, it also can predict field effect.
把该模型结合到黑油模型中，可以进行LPS深部调剖的室内岩心驱拟合和矿场应用效果预测。
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