A benchmark study on reactive two-phase flow in porous media: Part II - results and discussion

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

Computational Geosciences Pub Date : 2024-02-03 DOI:10.1007/s10596-024-10269-y

Etienne Ahusborde, Brahim Amaziane, Stephan de Hoop, Mustapha El Ossmani, Eric Flauraud, François P. Hamon, Michel Kern, Adrien Socié, Danyang Su, K. Ulrich Mayer, Michal Tóth, Denis Voskov

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Abstract

This paper presents and discusses the results obtained by the participants to the benchmark described in de Hoop et al, Comput. Geosci. (2024). The benchmark uses a model for CO₂ geological storage and focuses on the coupling between two-phase flow and geochemistry. Several test cases of various levels of difficulty are proposed, both in one and two spatial dimensions. Six teams participated in the benchmark, each with their own simulation code, though not all teams attempted all the cases. The codes used by the participants are described, and the results obtained on the various test cases are compared, as well as the performance of the codes. It is shown that the results obtained are widely consistent, giving a good level of confidence in the outcome of the benchmark. The general complexity of two-phase flow coupled with chemical reactions altering porous media means that some differences between the codes remain. Besides, from the convergence study, it is clear that the two-dimensional problem has a relatively high sensitivity to a spatial resolution which adds to the complexity.

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多孔介质中反应两相流的基准研究：第二部分--结果与讨论

本文介绍并讨论了参加者根据 de Hoop 等人，Comput.Geosci.该基准测试使用二氧化碳地质封存模型，重点关注两相流与地球化学之间的耦合。在一维和二维空间中提出了多个不同难度的测试案例。六个团队参加了基准测试，每个团队都有自己的模拟代码，但并非所有团队都尝试了所有案例。文中介绍了参与者使用的代码，比较了各种测试案例的结果以及代码的性能。结果表明，获得的结果大体一致，使人对基准测试的结果充满信心。两相流加上改变多孔介质的化学反应的普遍复杂性意味着不同的代码之间仍然存在一些差异。此外，从收敛性研究中可以看出，二维问题对空间分辨率的敏感性相对较高，这增加了问题的复杂性。

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

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.