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A mathematical model and a Clustering Search metaheuristic for planning the helicopter transportation of employees to the production platforms of oil and gas

机译:数学模型和聚类搜索元启发式方法,用于计划将员工直升飞机运送到油气生产平台

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摘要

In several countries, the petroleum is explored offshore and the oil and gas companies use oil drilling facilities and platforms far away from the coast. Thus, the oil companies transport its employees by helicopters between onshore basins, airports and platforms. This problem is known as the Capacitated Helicopter Routing Problem (CHRP). In this paper, it is proposed a formal mathematical model to the CHRP with several specific constraints and a more realistic objective function. Besides a Clustering Search (CS) metaheuristic is proposed to solve it. The mathematical model and the CS metaheuristic were tested with real data from a Brazilian oil and gas company. A set of instances with up to 1000 transportation requests and 100 helicopters was generated. Computational experiments indicate that CPLEX is not able to solve optimally even small instances of the problem, but the CS metaheuristic is capable of solving the proposed model generating good, stable and fast solutions.
机译:在一些国家,石油是在海上开采的,而石油和天然气公司则使用远离海岸的石油钻探设施和平台。因此,石油公司通过直升机在陆上盆地,机场和平台之间运送员工。此问题被称为“能力直升机路由问题”(CHRP)。本文为CHRP提出了一个正式的数学模型,该模型具有几个特定的​​约束条件和更现实的目标函数。此外,提出了一种聚类搜索(CS)元启发式算法来解决该问题。使用来自巴西石油和天然气公司的真实数据测试了数学模型和CS元启发式方法。生成了一组实例,这些实例具有多达1000个运输请求和100架直升机。计算实验表明,CPLEX甚至无法最优地解决问题的小实例,但是CS元启发法能够解决所提出的模型,从而产生良好,稳定和快速的解决方案。

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