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Operational Risk Assessment and Management of Process Operations

机译:操作风险评估和流程操作管理

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Processes involving hazardous operations may potentially cause catastrophic consequences.In spite of using numerous end-of-the-pipe safety systems, tragic accidents such as Texas City refinery, Richmond refinery still continue to occur.One of the main reasons of such rare but catastrophic events occurrence is lack of effective monitoring and modeling approaches that provide early warnings and help to prevent, control or at least mitigate such accidents.There are many methods to assess the risk of accident scenarios in thefacility.Each method consists of different steps and follows a specific procedure.Accident probability estimation is a common and central step to all these methods.Probability of low frequency high consequence accidents is not well supported by conventional statistical methods due to data scarcity.Thus, accident precursor analysis has been proposed as effective method to deal with such accidents.This presentation discusses details of operational risk assessment using early warnings often termed as accident precursors.Operational accident scenarios are modeled using Bow-tie approach.Real time operation data is used to update the failure probabilities of key elements is operation.Updated probabilities are integrated with potential consequents to assess real time operation risk.The usefulness of risk assessment methodology is demonstrated using case study.
机译:涉及危险操作的过程可能潜在地导致灾难性后果。尽管使用了许多管道末端安全系统,但德克萨斯州炼油厂,里士满炼油厂等悲剧性事故仍然继续发生,是造成这种罕见但灾难性事故的主要原因之一事件发生缺乏有效的监视和建模方法,无法提供预警并有助于预防,控制或至少减轻此类事故。评估设施中事故场景风险的方法很多,每种方法包括不同的步骤并遵循特定的程序。事故概率估计是所有这些方法的核心步骤。由于数据缺乏,常规统计方法不能很好地支持低频高后果事故的概率。因此,提出了事故前兆分析作为处理事故的有效方法此类事故。本演示文稿讨论使用e进行操作风险评估的详细信息预警通常被称为事故先兆。使用Bow-tie方法对运营事故场景进行建模。实时运行数据用于更新关键要素的运行失败概率。更新后的概率与潜在后果集成在一起,以评估实时运营风险。案例研究证明了风险评估方法的有效性。

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