Abstract

In this paper, a multiscale flux basis algorithm is developed to efficiently solve a flow problem in fractured porous media. Here, we take into account a mixed-dimensional setting of the discrete fracture matrix model, where the fracture network is represented as lower-dimensional object. We assume the linear Darcy model in the rock matrix and the non-linear Forchheimer model in the fractures. In our formulation, we are able to reformulate the matrix–fracture problem to only the fracture network problem and, therefore, significantly reduce the computational cost. The resulting problem is then a non-linear interface problem that can be solved using a fixed-point or Newton–Krylovmethods, which in each iteration require several solves of Robin problems in the surrounding rock matrices. To achieve this, the flux exchange (a linear Robin-to-Neumann co-dimensional mapping) between the porous medium and the fracture network is done offline by pre-computing a multiscale flux basis that consists of the flux response from each degree of freedom (DOF) on the fracture network. This delivers a conserve for the basis that handles the solutions in the rock matrices for each degree of freedom in the fractures pressure space. Then, any Robin sub-domain problems are replaced by linear combinations of the multiscale flux basis during the interface iteration. The proposed approach is, thus, agnostic to the physical model in the fracture network. Numerical experiments demonstrate the computational gains of pre-computing the flux exchange between the porous medium and the fracture network against standard non-linear domain decomposition approaches.

Highlights

  • In industry and research, simulations of physical phenomena play an important role in observing, understanding and utilizing the world we live in

  • We have presented block preconditioners for linear systems arising in mixeddimensional modeling of single-phase flow in fractured porous media

  • Our approach is based on the stability theory of the mixed finite element discretization of the model which we extended to provide an efficient way to solve large systems with standard Krylov subspace iterative methods

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Summary

Introduction

Simulations of physical phenomena play an important role in observing, understanding and utilizing the world we live in. In order to provide that, we turn to developing computational techniques using a range of mathematical tools to accurately describe physical processes of our interest These processes are commonly represented as systems of partial differential equations. It has become clear that the dominating role of fractures in the flow process in the porous medium calls for reexamination of existing mathematical models, numerical methods and implementations in these cases. The immediate advantages of such modeling are in more accurate representation of flow patterns, especially in case of highly conductive fractures, and easier handling of discontinuities over the interfaces This has allowed for implementation of various discretization methods, from finite volume methods [22, 30] to (mixed) finite element methods [18] and other methods [17,19]. The reduced model problem as presented in [2] is as follows: −1 i ui ∇ pi

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