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Polymer Injectivity Test Design Using Numerical Simulation

机译:数值模拟的聚合物注入性测试设计

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摘要

Polymer flooding is an enhanced oil recovery (EOR) process, which has received increasing interest in the industry. In this process, water-soluble polymers are used to increase injected water viscosity in order to improve mobility ratio and hence improve reservoir sweep. Polymer solutions are non-Newtonian fluids, i.e., their viscosities are shear dependent. Polymers may exhibit an increase in viscosity at high shear rates in porous media, which can cause injectivity loss. In contrast, at low shear rates they may observe viscosity loss and hence enhance the injectivity. Therefore, due to the complex non-Newtonian rheology of polymers, it is necessary to optimize the design of polymer injectivity tests in order to improve our understanding of the rheology behavior and enhance the design of polymer flood projects. This study has been addressing what information that can be gained from polymer injectivity tests, and how to design the test for maximizing information. The main source of information in the field is from the injection bottom-hole pressure (BHP). Simulation studies have analyzed the response of different non-Newtonian rheology on BHP with variations of rate and time. The results have shown that BHP from injectivity tests can be used to detect in-situ polymer rheology.
机译:聚合物驱是提高采油率(EOR)的一种方法,在业界已引起越来越多的关注。在此过程中,水溶性聚合物用于增加注入水的粘度,以提高流动率,从而改善储层扫描范围。聚合物溶液是非牛顿流体,即它们的粘度取决于剪切力。聚合物在高剪切速率下在多孔介质中的粘度可能会增加,这可能会导致注入损失。相反,在低剪切速率下,它们可能会观察到粘度损失,从而增强了注入能力。因此,由于聚合物的复杂非牛顿流变学,有必要优化聚合物注入性测试的设计,以增进我们对流变行为的理解并增强聚合物驱工程的设计。这项研究一直在研究可以从聚合物注入测试中获得哪些信息,以及如何设计用于最大化信息的测试。该领域的主要信息来源来自注入井底压力(BHP)。仿真研究分析了非牛顿流变学对BHP的响应,其速率和时间都有变化。结果表明,注入测试的必和必拓可用于检测原位聚合物流变学。

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