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

Hela Kadri, S. C. Dutilleul
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Abstract

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.
在有维护任务的流动网络中进行路径搜索的多目标优化
这项工作的目的是提出一个正式的模型,用于确定在实际开采条件下,如维护活动和服务中的路线,油流网络上转移操作的动态最佳路径。研究了一个多目标问题,寻找一条安全的、最短的输油路径。它的基础是,首先,动态可靠性,这取决于时间和使用条件,在路径中接合的阀门;其次,管道长度;它是在高层次Petri网(HLPN)框架中开发的。利用从OREDA数据库中提取的数据对海港的实际操作约束和目标进行建模。结果表明,所提出的解决方案通过避免最危险的阀门和石油输送作业之间以及输送作业与维护任务之间的冲突,从而更安全地使用网络。这一贡献应用于石油运输,但它可能适用于许多其他领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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