Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels
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Author(s)
Type
Journal Article
Abstract
non-intrusive model reducti
on computational method using
hypersurfaces representation has been developed for reservoir s
imulation and
further applied to 3D fluvial channel problems in this work. Th
is is achieved by
a combination of a radial basis function (RBF) interpolation an
d proper
orthogonal decomposition (POD) method. The advantage of the met
hod is that
it is generic and non-intrusive, that is, it does not require m
odifications to the
original complex source code, for example, a 3D unstructured me
sh control
volume finite element (CVFEM) reservoir model used here. The ca
pability of
this non-intrusive reduced order model (NIROM) based on hypersu
rfaces
representation has been numerically illustrated in a horizontal
ly layered porous
media case, and then further applied to a 3D complex fluvial channel case. By
comparing the results of the NIROM against the solutions obtain
ed from the
high fidelity full model, it is s
hown that this NIROM results i
n a large
reduction in the CPU computation
cost while much of the details
are captured.
on computational method using
hypersurfaces representation has been developed for reservoir s
imulation and
further applied to 3D fluvial channel problems in this work. Th
is is achieved by
a combination of a radial basis function (RBF) interpolation an
d proper
orthogonal decomposition (POD) method. The advantage of the met
hod is that
it is generic and non-intrusive, that is, it does not require m
odifications to the
original complex source code, for example, a 3D unstructured me
sh control
volume finite element (CVFEM) reservoir model used here. The ca
pability of
this non-intrusive reduced order model (NIROM) based on hypersu
rfaces
representation has been numerically illustrated in a horizontal
ly layered porous
media case, and then further applied to a 3D complex fluvial channel case. By
comparing the results of the NIROM against the solutions obtain
ed from the
high fidelity full model, it is s
hown that this NIROM results i
n a large
reduction in the CPU computation
cost while much of the details
are captured.
Date Issued
2018-09-11
Date Acceptance
2017-12-05
Citation
International Journal of Oil, Gas and Coal Technology, 2018, 19 (3), pp.316-339
ISSN
1753-3309
Publisher
Inderscience
Start Page
316
End Page
339
Journal / Book Title
International Journal of Oil, Gas and Coal Technology
Volume
19
Issue
3
Copyright Statement
© The Author(s) 2018. Published by Inderscien
ce Publishers Ltd. This is an Open Access Article
distributed under the CC BY license. (http
://creativecommons.org/licenses/by/4.0/)
ce Publishers Ltd. This is an Open Access Article
distributed under the CC BY license. (http
://creativecommons.org/licenses/by/4.0/)
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Grant Number
EP/K003976/1
RG80519
Subjects
Science & Technology
Technology
Energy & Fuels
Engineering, Chemical
Engineering, Petroleum
Engineering
radial basis function
RBF
proper orthogonal decomposition
POD
reservoir
hypersurface
3D fluvial channel
NAVIER-STOKES EQUATIONS
SHALLOW-WATER EQUATIONS
PROPER ORTHOGONAL DECOMPOSITION
NUMERICAL MANIFOLD METHOD
PETROV-GALERKIN METHODS
NONLINEAR MODEL
EMPIRICAL INTERPOLATION
DATA ASSIMILATION
ORDER REDUCTION
FLUID-FLOW
0914 Resources Engineering And Extractive Metallurgy
Publication Status
Published
Date Publish Online
2018-09-11