朱喜平. 大型石油储库全寿命周期风险管控一体化平台研发[J]. 油气储运, 2023, 42(10): 1175-1183. DOI: 10.6047/j.issn.1000-8241.2023.10.011
引用本文: 朱喜平. 大型石油储库全寿命周期风险管控一体化平台研发[J]. 油气储运, 2023, 42(10): 1175-1183. DOI: 10.6047/j.issn.1000-8241.2023.10.011
ZHU Xiping. Research and development of integrated life cycle risk management and control platform for large petroleum storage depot[J]. Oil & Gas Storage and Transportation, 2023, 42(10): 1175-1183. DOI: 10.6047/j.issn.1000-8241.2023.10.011
Citation: ZHU Xiping. Research and development of integrated life cycle risk management and control platform for large petroleum storage depot[J]. Oil & Gas Storage and Transportation, 2023, 42(10): 1175-1183. DOI: 10.6047/j.issn.1000-8241.2023.10.011

大型石油储库全寿命周期风险管控一体化平台研发

Research and development of integrated life cycle risk management and control platform for large petroleum storage depot

  • 摘要: 为了保障国家能源安全和实现“双碳”战略,在大力提高油气储备能力建设的同时,亟需加强大型油气储存设施的风险管控。针对大型石油储库在数据库建设、风险预测与预警、应急决策支持方面存在的问题,并结合GB/T 42097—2022《地上石油储(备)库完整性管理规范》的总体实施要求,对大型石油储库风险管控一体化平台运行过程中的关键技术进行了优化:建立了平台的核心架构及全生命周期数据库;形成了基于多米诺效应的定量风险评价方法;建成了应急决策支持子系统,并通过改进Dijkstra算法,构建了储库应急救援路线优化模型,开发了火情分析算法及应急无人机平台。以中国石化舟山石油储库为示范,建立了全寿命周期风险管控一体化平台,从全生命周期数据管理、风险预测与预警、应急管理等多个方面提高了储库的管理与安全决策水平。研究结果可为石油储备库的安全运行提供技术支撑。

     

    Abstract: In order to ensure energy security and realize the "dual carbon" strategy, it is urgent to strengthen the risk management and control of large oil and gas storage facilities while vigorously improving the storage capacity of oil and gas. In response to the problems of large petroleum storage depots concerning database construction, risk prediction and early warning, and emergency decision-making support, the key technologies adopted during the platform operation were optimized with reference to the general implementation requirements specified in the Aboveground Petroleum Storage Depot Integrity Management Specification (GB/T 42097—2022). Specifically, the core architecture of the integrated risk management and control platform for large petroleum storage depots and a life cycle database were established, a quantitative risk assessment method based on the domino effect was formed, and an emergency decision-making support sub-system was developed. Besides, an emergency rescue route optimization model for petroleum storage depots was built by improving the Dijkstra algorithm, and a fire analysis algorithm and an emergency drone platform were developed. Moreover, an integrated life cycle risk management and control platform was established based on SINOPEC Zhoushan petroleum storage depot, which effectively enhanced the decision-making level on management and safety of petroleum storage depot from multiple aspects, such as full life cycle data management, risk prediction and early warning, and emergency management. Generally, the research results could provide technical support for the safe operation of petroleum storage depots.

     

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