In this paper, we discuss how to describe the geomechanical behavior of geological formations used for underground fluid storage through the application of the Virtual Element Method (VEM) on conforming polyhedral meshes for the solution of stress-strain equilibrium equations. Under the assumption of small deformations, the solution algorithm for an Isotropic Linear Elastic (ILE) constitutive law coupled with the Mohr-Coulomb perfectly plastic yield criterion is implemented. The solution is then tested on a geological scenario with simplified geometry but realistic rock parameters. Results are compared with the solution of a first-order FEM obtained from a commercial solver, showing a good agreement in terms of displacement and stress maps. In the current implementation, a stabilization term of the VEM projectors is tailored to the elastoplastic law, paving the way for the generalization to polyhedral grids and the introduction of domain discontinuities such as faults.

In this paper, we discuss how to describe the geomechanical behavior of geological formations used for underground fluid storage through the application of the Virtual Element Method (VEM) on conforming polyhedral meshes for the solution of stress-strain equilibrium equations. Under the assumption of small deformations, the solution algorithm for an Isotropic Linear Elastic (ILE) constitutive law coupled with the Mohr-Coulomb perfectly plastic yield criterion is implemented. The solution is then tested on a geological scenario with simplified geometry but realistic rock parameters. Results are compared with the solution of a first-order FEM obtained from a commercial solver, showing a good agreement in terms of displacement and stress maps. In the current implementation, a stabilization term of the VEM projectors is tailored to the elastoplastic law, paving the way for the generalization to polyhedral grids and the introduction of domain discontinuities such as faults.


ISSN 1121-9041

CiteScore:
2020: 3.8
CiteScore measures the average citations received per peer-reviewed document published in this title.
CiteScore values are based on citation counts in a range of four years (e.g. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2016 —19).
Source Normalized Impact per Paper (SNIP):
2019: 1.307
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR)
2019: o.657
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal's impact.
Journal Metrics: CiteScore: 1.0 , Source Normalized Impact per Paper (SNIP): 0.381 SCImago Journal Rank (SJR): 0.163

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