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Predicting the Optimum Concentration of Partially Hydrolyzed Polyacrylamide Polymer in Brine Solutions for Better Oil Recovery, Experimental Study

机译:预测盐水溶液中部分水解的聚丙烯酰胺聚合物的最佳浓度,以更好的采油,实验研究

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Polymer injection is one of the most applications used in enhanced oil recovery. In order to achieve better sweeping efficiency, polymer is added to the injected water to increase its viscosity and ultimately minimize the viscous fingering. Partially hydrolyzed polyacrylamide (HPAM) is one of the polyacrylamide groups. It is characterized by the shape of straight chain polymer of acrylamide monomers in which some of it has been hydrolyzed. The viscosity of the polymer solution should be maintained in order to keep better sweep efficiency. Salinity, polymer concentration and temperature are the most important factors that strongly affect the polymer viscosity and behavior. The aim objective of this study is to estimate the optimum polymer concentration based on the suitable polymer solution viscosity. This viscosity will be suitable for preferable mobility ratio. In this work, five groups of polymer solutions were prepared with different salinities. In each group, several polymer solutions were prepared at different polymer concentration. The viscosity of prepared solutions was measured at different temperatures. New models correlate the flow behavior index (n) and flow consistency index (k) with polymer salinity, polymer concentration and temperature were developed and validated using the experimental data. In order to estimate the required optimum polymer concentration, the developed models were combined with other developed models that describe the polymer shear rate in porous media. Results show that, the cross plots of the measured and corresponded calculated (n) and (k) values indicated better prediction compared with the latest published correlations with a squared correlation coefficient of 0.9912 and 0.9962 respectively. In addition, the calculated average relative error of the predicted (n) and (k) were 0.97 % and 6.07% correspondingly. Using these models, the power law viscosity equation and shear rate in porous media equation, the required polymer concentration can be estimated with high accuracy. Consequently the required optimum polymer concentration needed to achieve better sweeping efficiency can be determined and therefore enhance the oil recovery. This technique will save time and effort spent to find the optimum polymer concentration using the traditional methods.
机译:聚合物注入是增强的采油中使用的最多应用之一。为了达到更好的扫描效率,将聚合物添加到注射水中以增加其粘度并最终最小化粘性指法。部分水解的聚丙烯酰胺(HPAM)是聚丙烯酰胺基团之一。它的特征在于丙烯酰胺单体的直链聚合物的形状,其中一些已经水解了。应保持聚合物溶液的粘度以保持更好的扫描效率。盐度,聚合物浓度和温度是强烈影响聚合物粘度和行为的最重要因素。本研究的目标目的是估计基于合适的聚合物溶液粘度的最佳聚合物浓度。该粘度适用于优选的迁移率。在这项工作中,使用不同的盐度制备五组聚合物溶液。在每组中,在不同的聚合物浓度下制备几种聚合物溶液。在不同的温度下测量制备的溶液的粘度。新模型将流动性指数(N)和流动稠度指数(K)与聚合物盐度相关,使用实验数据开发和验证聚合物浓度和温度。为了估计所需的最佳聚合物浓度,将开发的模型与其他开发的模型相结合,该模型描述了多孔介质中的聚合物剪切速率。结果表明,与具有0.9912和0.9962的平方相关系数的最新公开相关性相比,测量的和对应的计算(n)和(k)值的交叉图表明了更好的预测。此外,预测(n)和(k)的计算的平均相对误差相应地为0.97%和6.07%。使用这些模型,电力法粘度方程和多孔介质方程中的剪切速率,可以高精度地估计所需的聚合物浓度。因此,可以确定实现更好的扫描效率所需的所需的最佳聚合物浓度,因此提高了溢油。这种技术将节省使用传统方法找到最佳聚合物浓度的时间和精力。

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