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Integrated dynamic decision analysis of gas drying plant: sensitivity analysis

机译:气体干燥厂动态综合决策分析:敏感性分析

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The plant referred to in this paper is located downstream from an exhausted natural gas field now employed as a backup lung to meet heavy consumption demands during the winter. The risk analysis of a plant through a procedure that combines logico-probabilistic and phenomenological features allows identification not only of the alternative seuqnces (e.g., duration of the flare-off). The complete panorama of infomation thus provided opens the way to all the more detailed examinations needed to enable informed decisions to be taken with a view, for example to improving the plant itself. Since the aim of this study was to simulate plant improvements designed to minimise the risk of the plant being shut down through the spurious intervention of its protection systems, the most significant transients were analysed in detail. This analysis showed that the probability of the top event "flare-off exceeding the fixed acceptable limit" was 4.08 10~4. IDDA was used to demonstrate that simple modification of the plant would be sufficient to reduce the probability of excessive pressure in the drying columns to 8.25 centre dot 10~(-10).
机译:本文所指的工厂位于一个已用尽的天然气田的下游,该天然气田现已用作备用肺,可以满足冬季的大量消耗需求。通过将逻辑概率和现象学特征相结合的程序对植物进行风险分析,不仅可以识别替代序列(例如爆发的持续时间)。这样就提供了完整的信息全景图,为进行所有必要的更详细的检查打开了道路,以便能够根据情况做出明智的决定,例如改善工厂本身。由于本研究的目的是模拟植物改良措施,旨在通过其保护系统的虚假干预将植物关闭的风险降至最低,因此对最重要的瞬态现象进行了详细分析。该分析表明,最高事件“爆发超过固定的可接受极限”的概率为4.08 10〜4。用IDDA证明对植物进行简单的改造就足以将干燥塔中过压的可能性降低到8.25中心点10〜(-10)。

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