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Model development and validation of an industrial natural gas well production network

Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2024.

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Other Authors: Craig, Ian K.
Format: Thesis
Language:English
Published: University of Pretoria 2025
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access_status_str Open Access
author2 Craig, Ian K.
author_browse Craig, Ian K.
author_facet Craig, Ian K.
collection Thesis
dc_rights_str_mv © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2024.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:36:32.122Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/100939 Model development and validation of an industrial natural gas well production network Craig, Ian K. DzedzemaneR@gmail.com Le Roux, Johan Derik Dzedzemane, Rudzani UCTD Sustainable Development Goals (SDGs) Characteristic compatibility method Gas pipelines Natural gas well Parameter estimation Spectral element method Dynamic model validation Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2024. A transient state-space non-linear model is developed for a natural gas production network fed from multiple gas wellheads. The state-space model is developed by making use of the spectral element method for pipeline spatial discretization. Wellhead models are integrated into the pipeline models by making use of suitable boundary conditions based on the characteristic compatibility method. The models are validated against a large scale natural gas well production network. The validation shows that the model has a good prediction performance based on a low normalized root mean square error of at most 5.08% and a high Pearson correlation coefficient with measured plant data of at least 0.94. The good prediction response of the developed transient models make them suitable for use in model-based optimal control of natural gas well production networks. The resulting dynamic model can be easily adapted to a gas network of any configuration due to its modular form. Electrical, Electronic and Computer Engineering MEng (Electronic Engineering) Unrestricted Faculty of Engineering, Built Environment and Information Technology SDG-07: Affordable and clean energy 2025-02-14T13:46:23Z 2025-02-14T13:46:23Z 2025-04 2024-10 Dissertation * A2025 http://hdl.handle.net/2263/100939 DOI: https://doi.org/10.25403/UPresearchdata.28417844.v1 https://doi.org/10.25403/UPresearchdata.28417844 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Sustainable Development Goals (SDGs)
Characteristic compatibility method
Gas pipelines
Natural gas well
Parameter estimation
Spectral element method
Dynamic model validation
Model development and validation of an industrial natural gas well production network
title Model development and validation of an industrial natural gas well production network
title_full Model development and validation of an industrial natural gas well production network
title_fullStr Model development and validation of an industrial natural gas well production network
title_full_unstemmed Model development and validation of an industrial natural gas well production network
title_short Model development and validation of an industrial natural gas well production network
title_sort model development and validation of an industrial natural gas well production network
topic UCTD
Sustainable Development Goals (SDGs)
Characteristic compatibility method
Gas pipelines
Natural gas well
Parameter estimation
Spectral element method
Dynamic model validation
url http://hdl.handle.net/2263/100939
https://doi.org/10.25403/UPresearchdata.28417844