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A thermal-percolation model for the injection of cold polymer in fractal formation: Semi-analytical solution and influencing factor analysis

机译:分形地层注入冷聚合物的热渗透模型:半分析溶液和影响因子分析

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摘要

Polymer injection is a common method for enhancing oil recovery (EOR). In this process, tons of polymers are injected into formation. The flowing mechanism of polymer is important and complicated, which greatly influences displacement efficiency. Given that polymer is non-Newtonian fluid, the flow behavior is influenced by shear rate in pore space. During injection, the temperature of polymer increases, thereby affecting viscosity, which, in turn, influence the process. In this work, a temperature-dependent model for polymer injection in fractal-distributed matrix is built. Semi-analytical solutions for polymer transfer are derived using Laplace transform. These solutions are verified by public data. Finally, influencing factors on the polymer injection process were discussed, including temperature distribution, fractal parameters, non-Newton parameters and injection rates. The method provides a new way to analysis the thermal-percolation coupling process during polymer injection.
机译:聚合物注射是增强储油(EOR)的常用方法。 在该方法中,将吨聚合物注入形成。 聚合物的流动机理是重要的,复杂的是,极大地影响位移效率。 考虑到聚合物是非牛顿流体,流动行为受到孔隙空间中的剪切速率的影响。 在注射期间,聚合物的温度增加,从而影响粘度,反过来影响该过程。 在这项工作中,建立了分布式基质中的聚合物注射温度依赖性模型。 使用Laplace变换来得出用于聚合物转移的半分析解。 这些解决方案通过公共数据验证。 最后,讨论了对聚合物注射过程的影响因素,包括温度分布,分形参数,非牛顿参数和注射率。 该方法提供了一种分析聚合物注射期间热渗透耦合过程的新方法。

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