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A branch-price-and-cut algorithm for the workover rig routing problem

机译:修井机路由问题的分支价格削减算法

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摘要

In an onshore oil field, the productivity of oil wells decreases when they require maintenance. To restore full productivity at a well, it must be visited by a specially equipped vehicle, called a workover rig. Given a set of wells needing maintenance and a heterogeneous fleet of workover rigs, the workover rig routing problem (WRRP) consists of finding rig routes that minimize the total production loss of the wells over a finite horizon. The wells have different loss rates, require various services, and may not be serviced within the horizon due to rig availability. The rigs have initial positions and do not have the same equipment. This paper presents the first exact algorithm for the WRRP, namely, a branch-price-and-cut algorithm that relies on some of the most recent techniques introduced for the vehicle routing problem with time windows. Our computational experiments show that this exact algorithm can solve practical-sized instances in reasonable computational times.
机译:在陆上油田中,需要维护的油井的生产率下降。为了恢复油井的全部生产率,必须使用称为修井机的特殊装备的车辆来进行检修。给定一组需要维护的油井和不同种类的修井钻机,修井钻机布设问题(WRRP)包括寻找在有限范围内使井的总生产损失最小化的钻机路线。这些井的损失率不同,需要各种服务,并且由于钻机的可用性可能无法在水平范围内进行维修。钻机具有初始位置,并且没有相同的设备。本文提出了WRRP的第一个精确算法,即分支价格削减算法,该算法依赖于针对带有时间窗的车辆路径问题引入的一些最新技术。我们的计算实验表明,该精确算法可以在合理的计算时间内解决实际大小的实例。

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