A numerical model for offshore Geological Carbon Storage (GCS) undergoing hydrate formation

IF 2.1 3区地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational Geosciences Pub Date : 2024-07-24 DOI:10.1007/s10596-024-10311-z

Yufei Wang, Eric Flauraud, Anthony Michel, Véronique Lachet, Clémentine Meiller

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Abstract

We propose a nonisothermal reactive multicomponent multiphase flow model for simulating offshore geological carbon dioxide (CO\(_2\)) storage. The model considers CO\(_2\) hydration as well as CO\(_2\) dissolution in water in the low-temperature high-pressure deep-ocean environment. This model comprises a chemistry module responsible for all chemical reactions among different phases and a flow module responsible for mass and energy transfer. The chemistry module is based on the mass action law that considers the inhibition effect of salt on CO\(_2\) hydration and dissolution. We implement this model in an open-source Matlab-based code MRST-HYD using a sequential iteration approach. The code has been validated through tests against one theoretical solution and one numerical code, Geoxim, developed at IFP Energies nouvelles. Finally, we apply this code to simulate CO\(_2\) injection into one-dimensional and two-dimensional deep-ocean sediments.

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水合物形成过程中的近海地质碳封存（GCS）数值模型

我们提出了一种非等温反应多组分多相流模型，用于模拟近海二氧化碳（CO(_2\)）地质封存。该模型考虑了二氧化碳在低温高压深海环境中的水合作用以及在水中的溶解作用。该模型包括一个负责不同相之间所有化学反应的化学模块和一个负责质量和能量传递的流动模块。化学模块基于质量作用定律，考虑了盐对 CO\(_2\) 水合和溶解的抑制作用。我们在基于 Matlab 的开源代码 MRST-HYD 中使用顺序迭代法实现了该模型。通过与 IFP Energies nouvelles 开发的一个理论解决方案和一个数值代码 Geoxim 的测试，对该代码进行了验证。最后，我们应用该代码模拟了 CO\(_2\) 注入一维和二维深海沉积物的情况。

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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.