Multiscale two-stage solver for Biot’s poroelasticity equations in subsurface media

Journal Article (2018)
Author(s)

Nicola Castelletto (Lawrence Livermore National Laboratory, Stanford University)

Sergey Klevtsov (Stanford University)

Hadi Hajibeygi (TU Delft - Reservoir Engineering)

Hamdi A. Tchelepi (Stanford University)

DOI related publication
https://doi.org/10.1007/s10596-018-9791-z Final published version
More Info
expand_more
Publication Year
2018
Language
English
Journal title
Computational Geosciences
Volume number
23 (2019)
Pages (from-to)
207–224
Downloads counter
123

Abstract

We propose a two-stage preconditioner for accelerating the iterative solution by a Krylov subspace method of Biot’s poroelasticity equations based on a displacement-pressure formulation. The spatial discretization combines a finite element method for mechanics and a finite volume approach for flow. The fully implicit backward Euler scheme is used for time integration. The result is a 2 × 2 block linear system for each timestep. The preconditioning operator is obtained by applying a two-stage scheme. The first stage is a global preconditioner that employs multiscale basis functions to construct coarse-scale coupled systems using a Galerkin projection. This global stage is effective at damping low-frequency error modes associated with long-range coupling of the unknowns. The second stage is a local block-triangular smoothing preconditioner, which is aimed at high-frequency error modes associated with short-range coupling of the variables. Various numerical experiments are used to demonstrate the robustness of the proposed solver.