Akbari Saeed, Mahmood Syed Mohammad, Ghaedi Hosein, Al-Hajri Sameer
Petroleum Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar, Tronoh 32610, Malaysia.
Shale Gas Research Group (SGRG), Institute of Hydrocarbon Recovery, Petroleum Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar, Tronoh 32610, Malaysia.
Polymers (Basel). 2019 Jun 14;11(6):1046. doi: 10.3390/polym11061046.
Copolymers of acrylamide with the sodium salt of 2-acrylamido-2-methylpropane sulfonic acid-known as sulfonated polyacrylamide polymers-had been shown to produce very promising results in the enhancement of oil recovery, particularly in polymer flooding. The aim of this work is to develop an empirical model through the use of a design of experiments (DOE) approach for bulk viscosity of these copolymers as a function of polymer characteristics (i.e., sulfonation degree and molecular weight), oil reservoir conditions (i.e., temperature, formation brine salinity and hardness) and field operational variables (i.e., polymer concentration, shear rate and aging time). The data required for the non-linear regression analysis were generated from 120 planned experimental runs, which had used the Box-Behnken construct from the typical Response Surface Methodology (RSM) design. The data were collected during rheological experiments and the model that was constructed had been proven to be acceptable with the Adjusted R-Squared value of 0.9624. Apart from showing the polymer concentration as being the most important factor in the determination of polymer solution viscosity, the evaluation of the model terms as well as the Sobol sensitivity analysis had also shown a considerable interaction between the process parameters. As such, the proposed viscosity model can be suitably applied to the optimization of the polymer solution properties for the polymer flooding process and the prediction of the rheological data required for polymer flood simulators.
丙烯酰胺与2-丙烯酰胺基-2-甲基丙烷磺酸钠的共聚物（即磺化聚丙烯酰胺聚合物）已被证明在提高原油采收率方面，特别是在聚合物驱油中，能产生非常可观的效果。这项工作的目的是通过实验设计（DOE）方法，建立一个经验模型，用于描述这些共聚物的本体粘度与聚合物特性（即磺化度和分子量）、油藏条件（即温度、地层盐水盐度和硬度）以及现场操作变量（即聚合物浓度、剪切速率和老化时间）之间的函数关系。非线性回归分析所需的数据来自120次计划实验运行，这些实验采用了典型响应面方法（RSM）设计中的Box-Behnken结构。数据是在流变实验中收集的，构建的模型经证明是可接受的，调整后的R平方值为0.9624。除了表明聚合物浓度是决定聚合物溶液粘度的最重要因素外，对模型项的评估以及索伯尔敏感性分析还显示了工艺参数之间存在显著的相互作用。因此，所提出的粘度模型可适用于聚合物驱油过程中聚合物溶液性质的优化以及聚合物驱油模拟器所需流变数据的预测。
