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Risk-based Reliability Assessment of Subsea Control module for Offshore Oil and Gas production

机译:海上油气生产海底控制模块基于风险的可靠性评估

摘要

Offshore oil and gas exploitation is principally conducted using dry or wet treesystems, otherwise called the subsea Xmas tree system. Due to the shift todeeper waters, subsea production system (SPS) has come to be a preferredtechnology with attendant economic benefits. At the centre of the SPS is thesubsea control module (SCM), responsible for the proper functioning andmonitoring of the entire system. With increasing search for hydrocarbons indeep and ultra-deepwaters, the SCM system faces important environmental,safety and reliability challenges and little research has been done in this area.Analysis of the SCM reliability then becomes very fundamental due to the hugecost associated with failure. Several tools are available for this analysis, but theFMECA stands out due to its ability to not only provide failure data, but alsoshowcase the system’s failure modes and mechanisms associated with thesubsystems and components being evaluated. However, the technique hasbeen heavily challenged in various literatures for several reasons. To close thisgap, a novel multi-criteria approach is developed for the analysis and ranking ofthe SCM failures modes.This research specifically focusses on subsea tree-mounted electro-hydraulic(E-H) SCM responsible for the underwater control of oil and gas production. Arisk identification of the subsea control module is conducted using industryexperts. This is followed by a comprehensive component based FMECAanalysis of the SCM conducted with the conventional RPN technique, whichreveals the most critical failure modes for the SCM. A novel framework isdeveloped using multi-criteria fuzzy TOPSIS methodology and applied to themost critical failure modes obtained from the FMECA evaluation usingunconventional parameters. Finally, a validation of these results is performedusing a stochastic input evaluation and SCM failure data obtained from theoffshore industry standard reliability database, OREDA.
机译:海上油气开采主要使用干式或湿式采油树系统(也称为海底采油树系统)进行。由于向深海转移,海底生产系统(SPS)已成为具有经济利益的首选技术。海底控制模块(SCM)位于SPS的中心,负责整个系统的正常运行和监视。随着对深水和超深水碳氢化合物的搜索日益增加,SCM系统面临着重要的环境,安全和可靠性挑战,在这一领域几乎没有进行任何研究。由于与故障相关的巨额成本,对SCM可靠性的分析变得非常基础。可以使用多种工具进行此分析,但是FMECA不仅具有提供故障数据的能力,而且还展示了系统的故障模式和与所评估的子系统和组件相关联的机制,因此脱颖而出。然而,由于多种原因,该技术已在各种文献中受到严重挑战。为了弥合这一差距,开发了一种新颖的多准则方法来对SCM故障模式进行分析和排名。本研究专门针对负责水下生产油气的海底树立式电动液压SCM。使用行业专家进行海底控制模块的危险识别。接下来是使用常规RPN技术对SCM进行全面的基于FMECA的分析,揭示了SCM的最关键的故障模式。使用多准则模糊TOPSIS方法开发了一种新颖的框架,并将其应用于使用非常规参数从FMECA评估中获得的最关键的失效模式。最后,使用随机输入评估和从海上工业标准可靠性数据库OREDA获得的SCM故障数据对这些结果进行验证。

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  • 作者

    Umofia Anietie Nnana;

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  • 年度 2014
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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