Automation of the meshing process of geological data

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

doi:10.1007/s10596-024-10290-1

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Automation of the meshing process of geological data

Sui Bun Lo, Oubay Hassan

, Jason Jones

, Xiaolong Liu, Nevan C Himmelberg, Dean Thornton

Computational Geosciences

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

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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 Science and Business Media LLC 2024
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa66554
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first_indexed	2024-05-31T15:11:01Z
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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 0 Springer Science and Business Media LLC 1420-0597 1573-1499 Reservoir modelling; Surface mesh optimization; Volume mesh generation; Surface intersection; Surface extension 7 5 2024 2024-05-07 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. 2024-05-31T16:14:28.9697020 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	0
publishDate	2024
institution	Swansea University
issn	1420-0597 1573-1499
doi_str_mv	10.1007/s10596-024-10290-1
publisher	Springer Science and Business Media LLC
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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	2024-05-07T16:14:27Z
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Automation of the meshing process of geological data

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