Two-phase flow simulation algorithm for numerical estimation of relative phase permeability curves of porous materials

IF 0.5 4区 数学 Q4 MATHEMATICS, APPLIED
Tatyana S. Khachkova, Vadim V. Lisitsa, Elena A. Gondul, Dmiriy I. Prokhorov, Viktor I. Kostin
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引用次数: 0

Abstract

The paper presents an algorithm for three-dimensional modelling of two-phase flows on the scale of pore size order for numerical evaluation of relative phase permeability curves of porous materials. Such an evaluation is performed based on the results of numerical simulation of primary drainage with subsequent waterflooding. In this case, models of porous materials based on three-dimensional tomographic images of rocks are used. The simulation of the flow considers the Stokes equation and the Cahn–Hilliard equation for modelling phase transfer, which allows us to determine phases using the concentration function. The combination of the phase field method and finite difference method makes it possible to correctly take into account the contact angle and stably calculate surface tension forces in domains with complex topology.
用于数值估算多孔材料相对相渗透率曲线的两相流动模拟算法
本文介绍了一种按孔径大小顺序对两相流动进行三维建模的算法,用于对多孔材料的相对相渗透性曲线进行数值评估。这种评估是根据原生排水和后续注水的数值模拟结果进行的。在这种情况下,使用的是基于岩石三维断层图像的多孔材料模型。水流模拟采用斯托克斯方程和卡恩-希利亚德方程来模拟相转移,从而可以利用浓度函数确定相位。相场法和有限差分法相结合,可以正确地考虑接触角,并稳定地计算具有复杂拓扑结构的域中的表面张力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.40
自引率
16.70%
发文量
31
审稿时长
>12 weeks
期刊介绍: The Russian Journal of Numerical Analysis and Mathematical Modelling, published bimonthly, provides English translations of selected new original Russian papers on the theoretical aspects of numerical analysis and the application of mathematical methods to simulation and modelling. The editorial board, consisting of the most prominent Russian scientists in numerical analysis and mathematical modelling, selects papers on the basis of their high scientific standard, innovative approach and topical interest. Topics: -numerical analysis- numerical linear algebra- finite element methods for PDEs- iterative methods- Monte-Carlo methods- mathematical modelling and numerical simulation in geophysical hydrodynamics, immunology and medicine, fluid mechanics and electrodynamics, geosciences.
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