Model reduction for coupled near-well and reservoir models using multiple space-time discretizations

In reservoir simulations, fine fully-resolved grids deliver accurate model representations, but lead to large systems of nonlinear equations to solve every time step. Numerous techniques are applied in porous media flow simulations to reduce the computational effort associated with solving the under...

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Main Authors: Kheriji, W., Efendiev, Y., Calo, Victor, Gildin, E.
Format: Book Chapter
Published: Springer 2017
Online Access:http://hdl.handle.net/20.500.11937/58434
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author Kheriji, W.
Efendiev, Y.
Calo, Victor
Gildin, E.
author_facet Kheriji, W.
Efendiev, Y.
Calo, Victor
Gildin, E.
author_sort Kheriji, W.
building Curtin Institutional Repository
collection Online Access
description In reservoir simulations, fine fully-resolved grids deliver accurate model representations, but lead to large systems of nonlinear equations to solve every time step. Numerous techniques are applied in porous media flow simulations to reduce the computational effort associated with solving the underlying coupled nonlinear partial differential equations. Many models treat the reservoir as a whole. In other cases, the near-well accuracy is important as it controls the production rate. Near-well modeling requires finer space and time resolution compared with the remaining of the reservoir domain. To address these needs, we combine Model Order Reduction (MOR) with local grid refinement and local time stepping for reservoir simulations in highly heterogeneous porous media. We present a domain decomposition algorithm for a gas flow model in porous media coupling near-well regions, which are locally well-resolved in space and time with a coarser reservoir discretization. We use a full resolution for the near-well regions and apply MOR in the remainder of the domain. We illustrate our findings with numerical results on a gas flow model through porous media in a heterogeneous reservoir.
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spelling curtin-20.500.11937-584342018-02-13T02:24:05Z Model reduction for coupled near-well and reservoir models using multiple space-time discretizations Kheriji, W. Efendiev, Y. Calo, Victor Gildin, E. In reservoir simulations, fine fully-resolved grids deliver accurate model representations, but lead to large systems of nonlinear equations to solve every time step. Numerous techniques are applied in porous media flow simulations to reduce the computational effort associated with solving the underlying coupled nonlinear partial differential equations. Many models treat the reservoir as a whole. In other cases, the near-well accuracy is important as it controls the production rate. Near-well modeling requires finer space and time resolution compared with the remaining of the reservoir domain. To address these needs, we combine Model Order Reduction (MOR) with local grid refinement and local time stepping for reservoir simulations in highly heterogeneous porous media. We present a domain decomposition algorithm for a gas flow model in porous media coupling near-well regions, which are locally well-resolved in space and time with a coarser reservoir discretization. We use a full resolution for the near-well regions and apply MOR in the remainder of the domain. We illustrate our findings with numerical results on a gas flow model through porous media in a heterogeneous reservoir. 2017 Book Chapter http://hdl.handle.net/20.500.11937/58434 10.1007/978-3-319-58786-8_29 Springer restricted
spellingShingle Kheriji, W.
Efendiev, Y.
Calo, Victor
Gildin, E.
Model reduction for coupled near-well and reservoir models using multiple space-time discretizations
title Model reduction for coupled near-well and reservoir models using multiple space-time discretizations
title_full Model reduction for coupled near-well and reservoir models using multiple space-time discretizations
title_fullStr Model reduction for coupled near-well and reservoir models using multiple space-time discretizations
title_full_unstemmed Model reduction for coupled near-well and reservoir models using multiple space-time discretizations
title_short Model reduction for coupled near-well and reservoir models using multiple space-time discretizations
title_sort model reduction for coupled near-well and reservoir models using multiple space-time discretizations
url http://hdl.handle.net/20.500.11937/58434