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Analyzing Historic Process Data to Identify Near Misses and Warning Signs: Examples from the Buncefield Incident

机译:分析历史流程数据,以确定近未命中和警告标志:Buncefield事件的示例

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Process data is often analyzed during the investigation of industrial fires and explosions. Such analyses sometimes reveal prior near misses or warning signs that foreshadow the eventual causes of a catastrophic event. In some cases the facility may have been unaware of these near misses or not realized their frequency. Proactive analysis of process data prior can be a tool to allow facilities to identify additional near misses and warning signs, and address problems before a catastrophic event occurs. Such techniques are currently being used in a voluntary safety program in the commercial aviation industry. In this paper we examine historical process data from the Buncefield Fuel Terminal. A December 2005 explosion and fire at the facility was caused by the overflow of approximately 300 m3 of premium gasoline from a storage tank. The historical process data from the facility identified multiple reoccurring near misses or warning signs that preceded the December 2005 event. These include sticking of tank level gauges and reliance of operators on alarms. With the benefit of hindsight, it can be argued that, had the facility proactively evaluated their near misses prior to the incident, these warnings signs may have been more fully understood and addressed. In this paper we describe the ways in which this facility could have recognized the significance of the frequent occurrences of equipment failure and operator reliance on alarms in the months prior to the incident and acted upon it.
机译:在调查工业火灾和爆炸期间经常分析过程数据。这种分析有时会发现近在未命中或警告标志,以预示灾难性事件的最终原因。在某些情况下,该设施可能已经不知道这些近的未命中或未意识到其频率。对过程数据的主动分析可以是允许设施识别额外的近期未命中和警告标志的工具,以及在发生灾难性事件之前解决问题。这些技术目前正在商业航空行业的自愿安全计划中使用。在本文中,我们从Buncefield燃料终端检查历史过程数据。 2005年12月,设施的爆炸和火灾是由储罐溢出约300立方米的汽油溢出引起的。来自设施的历史流程数据确定了在2005年12月前后的未命中或警告标志附近的多次重新传递。这些包括粘附罐级仪表和操作员对警报的依赖。凭借后视之明的利益,可以认为,由于该设施在事件发生之前,这些设施在其近期进行了评估,这些警告标志可能更加全面地理解和解决。在本文中,我们描述了该设施本机能够认识到频繁发生的设备故障和操作员依赖于事件前的报警的重要性,并在其上行动。

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