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Multi-objective optimization for path searching in a flow network with maintenance tasks

机译:具有维护任务的流网络中路径搜索的多目标优化

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The aim of this work is to propose a formal model for determining the dynamic optimal path for transfer operations on an oil flow network within real conditions of exploitation such as maintenance activities and alignments in-service. The study focuses on a multi-objective problem to search a safe and short path to the oil transfer operations. It is based on, firstly, dynamic reliability, that depends on time and conditions of use, of engaged valves in the path; and secondly, pipes lengths; and it is developed in a High Level Petri Nets (HLPN) framework. Real operational constraints and goals in the seaport are modelled with data extracted from OREDA Database. The results show how the proposed solution leads to a safer use of the network by avoiding riskiest valves and conflicts between oil transfer operations and between transfer operations and maintenance tasks. This contribution is applied in the oil transport, but it is potentially applicable in many other areas.
机译:这项工作的目的是提出一个正式模型,用于确定在实际开采条件下(例如维护活动和在役对准)在油流网络上进行转移作业的动态最佳路径。该研究集中在一个多目标问题上,以寻找通往输油作业的安全捷径。它首先基于动态可靠性,该可靠性取决于路径中接合的阀门的使用时间和使用条件。其次,管道长度;它是在高级Petri网(HLPN)框架中开发的。使用从OREDA数据库中提取的数据对海港中的实际操作限制条件和目标进行建模。结果表明,所提出的解决方案如何通过避免最危险的阀门以及输油作业之间以及输油作业与维护任务之间的冲突来导致网络的安全使用。此贡献适用于石油运输,但也可能适用于许多其他领域。

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