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Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels

D. Xiao, F. Fang, C.C. Pain, I.M. Navon, P. Salinas, Z. Wang, Dunhui Xiao Orcid Logo

International Journal of Oil, Gas and Coal Technology, Volume: 19, Issue: 3, Start page: 316

Swansea University Author: Dunhui Xiao Orcid Logo

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DOI (Published version): 10.1504/ijogct.2018.095581

Abstract

A non-intrusive model reduction computational method using hypersurfaces representation has been developed for reservoir simulation and further applied to 3D fluvial channel problems in this work. This is achieved by a combination of a radial basis function (RBF) interpolation and proper orthogonal...

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Published in: International Journal of Oil, Gas and Coal Technology
ISSN: 1753-3309 1753-3317
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa47931
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first_indexed 2018-12-11T14:07:34Z
last_indexed 2019-01-28T14:02:26Z
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spelling 2019-01-28T12:29:50.4805508 v2 47931 2018-12-11 Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels 62c69b98cbcdc9142622d4f398fdab97 0000-0003-2461-523X Dunhui Xiao Dunhui Xiao true false 2018-12-11 AERO A non-intrusive model reduction computational method using hypersurfaces representation has been developed for reservoir simulation and further applied to 3D fluvial channel problems in this work. This is achieved by a combination of a radial basis function (RBF) interpolation and proper orthogonal decomposition (POD) method. The advantage of the method is that it is generic and non-intrusive, that is, it does not require modifications to the original complex source code, for example, a 3D unstructured mesh control volume finite element (CVFEM) reservoir model used here. The capability of this non-intrusive reduced order model (NIROM) based on hypersurfaces representation has been numerically illustrated in a horizontally 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 obtained from the high fidelity full model, it is shown that this NIROM results in a large reduction in the CPU computation cost while much of the details are captured. Journal Article International Journal of Oil, Gas and Coal Technology 19 3 316 1753-3309 1753-3317 31 12 2018 2018-12-31 10.1504/ijogct.2018.095581 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University 2019-01-28T12:29:50.4805508 2018-12-11T10:33:25.4443536 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering D. Xiao 1 F. Fang 2 C.C. Pain 3 I.M. Navon 4 P. Salinas 5 Z. Wang 6 Dunhui Xiao 0000-0003-2461-523X 7 0047931-12122018112124.pdf xiao2018v2.pdf 2018-12-12T11:21:24.9370000 Output 8956863 application/pdf Version of Record true 2018-12-12T00:00:00.0000000 true eng
title Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels
spellingShingle Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels
Dunhui Xiao
title_short Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels
title_full Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels
title_fullStr Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels
title_full_unstemmed Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels
title_sort Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels
author_id_str_mv 62c69b98cbcdc9142622d4f398fdab97
author_id_fullname_str_mv 62c69b98cbcdc9142622d4f398fdab97_***_Dunhui Xiao
author Dunhui Xiao
author2 D. Xiao
F. Fang
C.C. Pain
I.M. Navon
P. Salinas
Z. Wang
Dunhui Xiao
format Journal article
container_title International Journal of Oil, Gas and Coal Technology
container_volume 19
container_issue 3
container_start_page 316
publishDate 2018
institution Swansea University
issn 1753-3309
1753-3317
doi_str_mv 10.1504/ijogct.2018.095581
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 1
active_str 0
description A non-intrusive model reduction computational method using hypersurfaces representation has been developed for reservoir simulation and further applied to 3D fluvial channel problems in this work. This is achieved by a combination of a radial basis function (RBF) interpolation and proper orthogonal decomposition (POD) method. The advantage of the method is that it is generic and non-intrusive, that is, it does not require modifications to the original complex source code, for example, a 3D unstructured mesh control volume finite element (CVFEM) reservoir model used here. The capability of this non-intrusive reduced order model (NIROM) based on hypersurfaces representation has been numerically illustrated in a horizontally 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 obtained from the high fidelity full model, it is shown that this NIROM results in a large reduction in the CPU computation cost while much of the details are captured.
published_date 2018-12-31T03:58:09Z
_version_ 1763752950932439040
score 11.036706

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