Assessment of expected production of a deep‐sea mining system: An integrated model‐based systems engineering and discrete event simulation approach
Abstract In this paper, model‐based systems engineering (MBSE) and discrete event simulation (DES) are combined to assess the performance of an offshore production system at an early stage. Various systems engineering tools are applied to an industrial case concerning the retrieval of deep‐sea miner...
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Online Access: | http://dx.doi.org/10.1002/sys.21699 |
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crwiley:10.1002/sys.21699 2024-10-06T13:51:42+00:00 Assessment of expected production of a deep‐sea mining system: An integrated model‐based systems engineering and discrete event simulation approach Solheim, Astrid V. Rauzy, Antoine B. Brett, Per Olaf Ellefmo, Steinar Hatling, Tonje Helmons, Rudy Asbjørnslett, Bjørn Egil Norges Teknisk-Naturvitenskapelige Universitet 2023 http://dx.doi.org/10.1002/sys.21699 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Systems Engineering volume 26, issue 6, page 847-858 ISSN 1098-1241 1520-6858 journal-article 2023 crwiley https://doi.org/10.1002/sys.21699 2024-09-19T04:18:50Z Abstract In this paper, model‐based systems engineering (MBSE) and discrete event simulation (DES) are combined to assess the performance of an offshore production system at an early stage. Various systems engineering tools are applied to an industrial case concerning the retrieval of deep‐sea minerals, and a simulation engine is developed to calculate the annual production output. A mean production of 1 Million tonnes of ore per year is estimated for an operation in the Norwegian Sea using Monte Carlo simulation. Depending on the limiting design wave height of the marine operations, the estimated production output ranges from 280,000 tonnes to 1.8 Million tonnes per year. The constrained parameter of the production system is particularly the wave height operational limit of the ship‐to‐ship transfer operation. We present the learning outcome from applying MBSE and DES to this case and discuss important aspects for improved performance. Article in Journal/Newspaper Norwegian Sea Wiley Online Library Norwegian Sea Systems Engineering 26 6 847 858 |
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Wiley Online Library |
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English |
description |
Abstract In this paper, model‐based systems engineering (MBSE) and discrete event simulation (DES) are combined to assess the performance of an offshore production system at an early stage. Various systems engineering tools are applied to an industrial case concerning the retrieval of deep‐sea minerals, and a simulation engine is developed to calculate the annual production output. A mean production of 1 Million tonnes of ore per year is estimated for an operation in the Norwegian Sea using Monte Carlo simulation. Depending on the limiting design wave height of the marine operations, the estimated production output ranges from 280,000 tonnes to 1.8 Million tonnes per year. The constrained parameter of the production system is particularly the wave height operational limit of the ship‐to‐ship transfer operation. We present the learning outcome from applying MBSE and DES to this case and discuss important aspects for improved performance. |
author2 |
Norges Teknisk-Naturvitenskapelige Universitet |
format |
Article in Journal/Newspaper |
author |
Solheim, Astrid V. Rauzy, Antoine B. Brett, Per Olaf Ellefmo, Steinar Hatling, Tonje Helmons, Rudy Asbjørnslett, Bjørn Egil |
spellingShingle |
Solheim, Astrid V. Rauzy, Antoine B. Brett, Per Olaf Ellefmo, Steinar Hatling, Tonje Helmons, Rudy Asbjørnslett, Bjørn Egil Assessment of expected production of a deep‐sea mining system: An integrated model‐based systems engineering and discrete event simulation approach |
author_facet |
Solheim, Astrid V. Rauzy, Antoine B. Brett, Per Olaf Ellefmo, Steinar Hatling, Tonje Helmons, Rudy Asbjørnslett, Bjørn Egil |
author_sort |
Solheim, Astrid V. |
title |
Assessment of expected production of a deep‐sea mining system: An integrated model‐based systems engineering and discrete event simulation approach |
title_short |
Assessment of expected production of a deep‐sea mining system: An integrated model‐based systems engineering and discrete event simulation approach |
title_full |
Assessment of expected production of a deep‐sea mining system: An integrated model‐based systems engineering and discrete event simulation approach |
title_fullStr |
Assessment of expected production of a deep‐sea mining system: An integrated model‐based systems engineering and discrete event simulation approach |
title_full_unstemmed |
Assessment of expected production of a deep‐sea mining system: An integrated model‐based systems engineering and discrete event simulation approach |
title_sort |
assessment of expected production of a deep‐sea mining system: an integrated model‐based systems engineering and discrete event simulation approach |
publisher |
Wiley |
publishDate |
2023 |
url |
http://dx.doi.org/10.1002/sys.21699 |
geographic |
Norwegian Sea |
geographic_facet |
Norwegian Sea |
genre |
Norwegian Sea |
genre_facet |
Norwegian Sea |
op_source |
Systems Engineering volume 26, issue 6, page 847-858 ISSN 1098-1241 1520-6858 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/sys.21699 |
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Systems Engineering |
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26 |
container_issue |
6 |
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847 |
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858 |
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1812179918855864320 |