多孔介质中反应两相流的基准研究：第一部分--模型描述

IF 2.1 3区地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computational Geosciences Pub Date : 2024-01-29 DOI:10.1007/s10596-024-10268-z

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引用次数: 0

摘要

摘要本文提出了多孔介质中反应多相多组分流动的基准研究。此类问题的建模会导致偏微分方程、常微分方程和代数约束的高度非线性耦合系统，需要进行特殊的数值处理。该基准共包括五个难度不同的测试问题（一维和二维），旨在验证专门用于模拟地下二氧化碳注入和封存过程中的耦合等温水化学过程的算法和代码。其目的是作为比较代码的基础，以便更好地理解不同的耦合，如化学反应与两相流、相行为与平衡反应、溶解和沉淀。

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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A benchmark study on reactive two-phase flow in porous media: Part I - model description

Abstract

This paper proposes a benchmark study for reactive multiphase multicomponent flow in porous media. Modeling such problem leads to a highly nonlinear coupled system of partial differential equations, ordinary differential equations and algebraic constraints, which requires special numerical treatment. The benchmark consists of five test problems in total (both in 1D and in 2D), with varying degrees of difficulty, designed to verify the algorithms and the codes dedicated to simulating coupled isothermal Hydro-Chemical processes during injection and storage of CO₂ in the subsurface. It is intended to be used as a basis for comparing codes in order to better understand different couplings such as chemical reactions with two-phase flow, phase behavior with equilibrium reactions, dissolution and precipitation.

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来源期刊

Computational Geosciences 地学-地球科学综合

CiteScore

6.10

自引率

4.00%

发文量

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.