The non-monotonicity of growth rate of viscous fingers in heterogeneous porous media

IF 2.1 3区 地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational Geosciences Pub Date : 2023-07-26 DOI:10.1007/s10596-023-10240-3
I. A. Starkov, D. A. Pavlov, S. B. Tikhomirov, F. L. Bakharev
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Abstract

The paper presents a stochastic analysis of the growth rate of viscous fingers in miscible displacement in a heterogeneous porous medium. The statistical parameters characterizing the permeability distribution of a reservoir vary over a wide range. The formation of fingers is provided by the mixing of different-viscosity fluids — water and polymer solution. The distribution functions of the growth rate of viscous fingers are numerically determined and visualized. Careful data processing reveals the non-monotonic nature of the dependence of the front end of the mixing zone on the correlation length of the permeability of the reservoir formation. It is demonstrated that an increase in correlation length up to a certain value causes an expansion of the distribution shape and a shift of the distribution maximum to the region of higher velocities. In addition, an increase in the standard deviation of permeability leads to a slight change in the shape and characteristics of the density distribution of the growth rates of viscous fingers. The theoretical predictions within the framework of the transverse flow equilibrium approximation and the Koval model are contrasted with the numerically computed velocity distributions.

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非均质多孔介质中粘指生长速率的非单调性
本文给出了非均质多孔介质中混相位移中粘指生长速率的随机分析。表征储层渗透率分布的统计参数变化范围很广。手指的形成是由不同粘度的流体——水和聚合物溶液的混合提供的。对粘性指生长速率的分布函数进行了数值确定和可视化。仔细的数据处理揭示了混合带前端对储层渗透率相关长度的依赖性的非单调性。结果表明,当相关长度增加到一定值时,分布形状会扩大,分布最大值会向较高速度区域移动。此外,渗透率标准差的增加导致粘性指生长速率的形状和密度分布特征略有变化。在横向流动平衡近似和Koval模型框架内的理论预测与数值计算的速度分布进行了对比。
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来源期刊
Computational Geosciences
Computational Geosciences 地学-地球科学综合
CiteScore
6.10
自引率
4.00%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
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