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Modeling Risk Influencing Factors of Hydrocarbon Release Accidents in Maintenance Operations using FRAM

机译:使用FRAM建模维护操作中碳氢化合物泄漏事故的风险影响因素

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Maintenance operations are mainly aimed at avoiding and reducing the leakages in petroleum facilities, there is a high risk of hydrocarbon release during maintenance operation. Maintenance is a socio-technical process, consisting of several human, technical and organizational factors, each with a potential to affect the risk of hydrocarbon release. This paper describes the idea of how a Functional Resonance Analysis Method (FRAM) can facilitate the modeling and assessing the risks arising from dynamic interactions in maintenance operations. A generic FRAM model is first developed for the maintenance operations, and a Resilience Analysis Matrix (RAM) approach is then used as a supportive tool for systematic assessment and evaluation of the most critical Risk Influencing Factors (RIFs) together with the FRAM model.
机译:维护操作主要旨在避免和减少石油设施中的泄漏,在维护操作过程中存在很高的碳氢化合物释放风险。维护是一个社会技术过程,由几个人,技术和组织因素组成,每个因素都有可能影响碳氢化合物释放的风险。本文描述了功能共振分析方法(FRAM)如何促进建模和评估维护操作中动态交互产生的风险的想法。首先为维护操作开发了通用的FRAM模型,然后将复原力分析矩阵(RAM)方法与FRAM模型一起用作对最关键的风险影响因素(RIF)进行系统评估和评估的支持工具。

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