Assessment of expected production of a deep-sea mining system: An integrated model-based systems engineering and discrete event simulation approach

Astrid V. Solheim*, Antoine B. Rauzy, Per Olaf Brett, Steinar Ellefmo, Tonje Hatling, Rudy Helmons, Bjørn Egil Asbjørnslett

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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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.

Original languageEnglish
Pages (from-to)847-858
JournalSystems Engineering
Volume26
Issue number6
DOIs
Publication statusPublished - 2023

Keywords

  • deep-sea mining
  • discrete event simulation
  • expected production
  • model-based systems engineering
  • Monte Carlo

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