Exploring different FEM strategies for hydro-mechanical coupled gas injection simulation in clay materials

Other authors

Universitat Politècnica de Catalunya. Doctorat en Enginyeria del Terreny

Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental

Centre Internacional de Mètodes Numèrics en Enginyeria

Universitat Politècnica de Catalunya. GGMM - Grup de Geotècnia i Mecànica de Materials

Publication date

2024-09

Abstract

Over the last few decades, the study of gas injection in porous media, particularly under multi-field coupled conditions, has emerged as a prominent focus within the field of geotechnical engineering. This article presents a comprehensive comparison of three numerical strategies, evaluating their impact on computational efficiency and result accuracy during Hydro-Mechanical (HM) coupled simulations of gas injection in clay-based geomaterials. This comprehensive comparison encompasses three numerical simulation methods for the mechanical sub-problem: The Standard Finite Element Method (SFEM), the Standard Finite Element Method with Selective Integration (SFEM+SI), and the Mixed Finite Element Method (MFEM). The Heat and Gas Fracking model (HGFRAC) is introduced to illustrate the computational characteristics of these methods. The results indicate that the effective application of SFEM is heavily dependent on a high-precision mesh. Convergence issues may arise when dealing with relatively coarse meshes. Nevertheless, these convergence issues can be effectively mitigated by incorporating either the Selective Integration method or the MFEM formulations. In terms of computational efficiency, it is evident that the SFEM+SI method demonstrates higher efficiency than SFEM and MFEM. However, it is noteworthy that the computed gas flow patterns of SFEM and SFEM+SI can be affected by the alignment of the mesh. With MFEM, displacements and strains are calculated as independent unknowns, enhancing result accuracy and achieving mesh independence.


Peer Reviewed


Postprint (published version)

Document Type

Article

Language

English

Publisher

Elsevier

Related items

https://www.sciencedirect.com/science/article/pii/S2352380824000492

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Rights

http://creativecommons.org/licenses/by/4.0/

Open Access

Attribution 4.0 International

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E-prints [72263]