Abstract

We solve a periodic supply vessel planning problem under demand and weather uncertainty, arising in offshore of oil and gas production. Our study is motivated by the case of the Norwegian energy operator Equinor which supplied us with data. The aim is to determine an optimal fleet composition and a least-cost vessel schedule under uncertain demand at the installations and uncertain weather conditions. We present a methodology incorporating a metaheuristic within a discrete-event simulation model which, applied iteratively for the increasing values of reliability level parameters, yields a vessel schedule of least expected cost.

中文翻译：

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需求和天气不确定性下的定期供应船计划

摘要

我们解决了在石油和天然气生产海上出现的需求和天气不确定性下的定期供应船规划问题。我们的研究受到挪威能源运营商 Equinor 案例的启发，该运营商为我们提供了数据。目的是在设施需求不确定和天气条件不确定的情况下确定最佳船队组成和最低成本的船舶时间表。我们提出了一种在离散事件模拟模型中结合元启发式的方法，该模型迭代地应用于可靠性水平参数的增加值，产生最低预期成本的船舶时间表。