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Automation of the meshing process of geological data

Sui Bun Lo, Oubay Hassan Orcid Logo, Jason Jones Orcid Logo, Xiaolong Liu, Nevan C Himmelberg, Dean Thornton

Computational Geosciences, Volume: 28, Pages: 661 - 679

Swansea University Authors: Sui Bun Lo, Oubay Hassan Orcid Logo, Jason Jones Orcid Logo

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DOI (Published version): 10.1007/s10596-024-10290-1

Abstract

This work proposes a novel meshing technique that is able to extract surfaces from processed seismic data and integrate surfaces that were constructed using other extraction techniques. Contrary to other existing methods, the process is fully automated and does not require any user intervention. The...

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Published in: Computational Geosciences
ISSN: 1420-0597 1573-1499
Published: Springer Nature 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa66554
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spelling v2 66554 2024-05-31 Automation of the meshing process of geological data 0abd939c9ae3ae6b04afc4a8f74d5b51 Sui Bun Lo Sui Bun Lo true false 07479d73eba3773d8904cbfbacc57c5b 0000-0001-7472-3218 Oubay Hassan Oubay Hassan true false aa4865d48c53a0df1c1547171826eab9 0000-0002-7715-1857 Jason Jones Jason Jones true false 2024-05-31 ACEM This work proposes a novel meshing technique that is able to extract surfaces from processed seismic data and integrate surfaces that were constructed using other extraction techniques. Contrary to other existing methods, the process is fully automated and does not require any user intervention. The proposed system includes an approach for closing the gaps that arise from the different techniques used for surface extraction. The developed process is able to handle non-manifold domains that result from multiple surface intersections. Surface and volume meshing that comply with user specified mesh control techniques are implemented to ensure the desired mesh quality. The integrated procedures provide a unique facility to handle geotechnical models and accelerate the generation of quality meshes for geophysics modelling. The developed procedure enables the creation of meshes for complex reservoir models to be reduced from weeks to a few hours. Various industrial examples are shown to demonstrate the practicable use of the developed approach to handle real life data. Journal Article Computational Geosciences 28 661 679 Springer Nature 1420-0597 1573-1499 Reservoir modelling; Surface mesh optimization; Volume mesh generation; Surface intersection; Surface extension 1 8 2024 2024-08-01 10.1007/s10596-024-10290-1 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University SU Library paid the OA fee (TA Institutional Deal) This study was funded by Chevron Corporation. 2024-10-21T11:34:24.9019944 2024-05-31T16:07:19.2225404 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Sui Bun Lo 1 Oubay Hassan 0000-0001-7472-3218 2 Jason Jones 0000-0002-7715-1857 3 Xiaolong Liu 4 Nevan C Himmelberg 5 Dean Thornton 6 66554__30505__7a7bdde25a43412880b4b084c591cd5c.pdf 66554.VoR.pdf 2024-05-31T16:11:47.7180216 Output 7786045 application/pdf Version of Record true © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License. true eng http://creativecommons.org/licenses/by/4.0/
title Automation of the meshing process of geological data
spellingShingle Automation of the meshing process of geological data
Sui Bun Lo
Oubay Hassan
Jason Jones
title_short Automation of the meshing process of geological data
title_full Automation of the meshing process of geological data
title_fullStr Automation of the meshing process of geological data
title_full_unstemmed Automation of the meshing process of geological data
title_sort Automation of the meshing process of geological data
author_id_str_mv 0abd939c9ae3ae6b04afc4a8f74d5b51
07479d73eba3773d8904cbfbacc57c5b
aa4865d48c53a0df1c1547171826eab9
author_id_fullname_str_mv 0abd939c9ae3ae6b04afc4a8f74d5b51_***_Sui Bun Lo
07479d73eba3773d8904cbfbacc57c5b_***_Oubay Hassan
aa4865d48c53a0df1c1547171826eab9_***_Jason Jones
author Sui Bun Lo
Oubay Hassan
Jason Jones
author2 Sui Bun Lo
Oubay Hassan
Jason Jones
Xiaolong Liu
Nevan C Himmelberg
Dean Thornton
format Journal article
container_title Computational Geosciences
container_volume 28
container_start_page 661
publishDate 2024
institution Swansea University
issn 1420-0597
1573-1499
doi_str_mv 10.1007/s10596-024-10290-1
publisher Springer Nature
college_str Faculty of Science and Engineering
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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 - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description This work proposes a novel meshing technique that is able to extract surfaces from processed seismic data and integrate surfaces that were constructed using other extraction techniques. Contrary to other existing methods, the process is fully automated and does not require any user intervention. The proposed system includes an approach for closing the gaps that arise from the different techniques used for surface extraction. The developed process is able to handle non-manifold domains that result from multiple surface intersections. Surface and volume meshing that comply with user specified mesh control techniques are implemented to ensure the desired mesh quality. The integrated procedures provide a unique facility to handle geotechnical models and accelerate the generation of quality meshes for geophysics modelling. The developed procedure enables the creation of meshes for complex reservoir models to be reduced from weeks to a few hours. Various industrial examples are shown to demonstrate the practicable use of the developed approach to handle real life data.
published_date 2024-08-01T11:34:24Z
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