Vehicle routing and dispatching for emergency personnel evacuation from off-shore oil platforms

F. Vargas-Villamil
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引用次数: 5

Abstract

The vehicle routing (VR) and dispatching for emergency personnel evacuation (EPE) from off-shore oil platforms is a complex and very important problem for the oil and gas industry. Frequently, the emergency evacuation plan has to be modified due to uncertain data and the occurrence of an event. Therefore, the personnel inventory control and scheduling algorithms must be able to take into account uncertainty. In this work, this system is divided into inventories and jobs i.e., loading, unloading, and transportation, and the EPE problem is solved optimizing a transportation capacitated network which is coupled to a set of parallel plants (platforms), where each plant has two processes. In this system, the platforms are served using a dispatching rule, and the VR and dispatching is done solving a mixed-integer nonlinear programming problem (MINLP) each time an event occurs. This approach is illustrated with a case study of a six-vehicle, eight-platform, off-shore oil platform system. Although small, this case study preserves the main characteristics of a real complex since it includes different vehicle types (boats and helicopters), and different platform and vehicle capacities
海上石油平台应急人员疏散车辆路径与调度
海上石油平台人员紧急疏散的车辆调度是油气行业面临的一个复杂而重要的问题。由于数据的不确定性和事件的发生,应急疏散计划经常需要修改。因此,人员库存控制和调度算法必须能够考虑到不确定性。在本工作中,将该系统划分为库存和作业,即装卸和运输,并优化一个运输能力网络来解决EPE问题,该网络与一组并行工厂(平台)耦合,其中每个工厂有两个过程。该系统采用调度规则对平台进行服务,每次发生事件时通过求解混合整数非线性规划问题(MINLP)来实现虚拟现实和调度。该方法以一个六车、八平台的海上石油平台系统为例进行了说明。虽然规模很小,但这个案例研究保留了一个真正的综合体的主要特征,因为它包括不同的车辆类型(船和直升机),以及不同的平台和车辆容量
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