Optimal fleet composition and periodic routing of offshore supply vessels

Halvorsen-Weare, Elin Espeland; Fagerholt, Kjetil; Nonås, Lars Magne; Asbjørnslett, Bjørn Egil

doi:10.1016/j.ejor.2012.06.017

Cited by 75 publications

(57 citation statements)

References 18 publications

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“…These are the same instances used in [18]. They are numbered after how many offshore installations there are and how many of them that have opening hours (time windows) for when to receive service: Problem instance 3-0 has three installations where none have opening hours, and 14-3 has a total of 14 installations where three have opening hours.…”

Section: Problem Instancesmentioning

confidence: 99%

“…The solution determines which OSVs should sail which voyages on what days, and hence the vessel fleet is also decided. A method based on such a model with all feasible voyages generated a priori is proposed in [18] and is summarized in the following. This method is an extension of the one proposed in [7] and [13] for real maritime routing problems.…”

Section: Voyage-based Modelmentioning

confidence: 99%

“…This can be avoided by adding so-called collision constraints. An example of such constraints applied for the voyage-based model can be found in [18]. For the arc-flow formulation, the α vitu variables can be used to express conditions that will avoid planned visits to an installation by two OSVs at the same day.…”

Section: T C Vmentioning

confidence: 99%

“…When the voyage with shortest duration is not the one with shortest travel distance and the one with shortest travel distance is marginally longer, the voyage with the shortest travel distance will be picked. A detailed description of the voyage generation procedure is given in [18]. The set of voyages generated by the voyage generator, R, is input to the voyage-based model.…”

Section: Voyage-based Modelmentioning

confidence: 99%

“…Its performance is compared with the voyage-based model suggested in [18]. Based on the large costs involved, it is easy to see that proper planning with respect to the fleet size and mix can give significant cost reductions.…”

Section: Introductionmentioning

confidence: 99%

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Optimization in offshore supply vessel planning

Halvorsen-Weare

Fagerholt

2016

Optim Eng

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This paper considers the offshore supply vessel (OSV) planning problem, which consists of determining an optimal fleet size and mix of OSVs as well as their weekly routes and schedules for servicing offshore oil and gas installations. The work originates from a project with Statoil, the leading operator on the Norwegian continental shelf. We present both a new arc-flow and a voyage-based model for solving the OSV planning problem. A decision support tool based on the voyage-based model has been used by planners in Statoil, and cost savings from this was estimated to approximately 3 million USD/year. Weather conditions at the Norwegian continental shelf can be harsh; wave heights may limit both an OSV's sailing speed and the time to perform unloading/loading operations at the installations. Hence, we analyze the weather impact on the execution of a schedule and propose robustness approaches to obtain solutions that can better withstand delays due to rough weather. Simulations indicate that such solutions both are more robust and have lower expected costs.

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Section: Problem Instancesmentioning

confidence: 99%

Section: Voyage-based Modelmentioning

confidence: 99%

Section: T C Vmentioning

confidence: 99%

Section: Voyage-based Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization in offshore supply vessel planning

Halvorsen-Weare

Fagerholt

2016

Optim Eng

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Operation and Maintenance Modelling

Welte¹,

Sperstad²,

Halvorsen-Weare³

et al. 2018

Offshore Wind Energy Technology

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One of the biggest challenges in the development of offshore wind farms is the cost and limited opportunities for maintenance and access. This calls for new solutions when it comes to operation and maintenance (O&M) strategies, condition monitoring and logistics, just to mention some examples. To assess different solutions and to select the best ones, good models for maintenance and logistics decision support are required. This chapter provides an overview of, and a brief introduction to, O&M modelling for offshore wind farms, including transport and logistics for O&M. The main focus of the chapter is on strategic O&M modelling. An O&M simulation model and a model for O&M vessel fleet optimization are presented. The models can be used for analysis and optimization of different aspects of maintenance and logistics and the influence on the costs and availability during the operational phase of an offshore wind farm. Applications of the models are illustrated by examples, among others for cost-benefit evaluation for a new solution for remote inspection of the turbine nacelle. Furthermore, the influence

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Offshore Supply Planning in a Rolling Time Horizon

Cuesta

Andersson

Fagerholt

2018

Lecture Notes in Computer Science

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This paper presents a real transportation problem stemming from offshore oil and gas logistics and shows how optimization models used in a rolling horizon simulation framework can be very valuable to assess and improve the operation's performance. With this aim, we study how the Order Selection Problem (OSP), a problem that helps the logistics provider decide which orders to carry to and from the platforms and which to postpone, and the Vessel Routing Problem with Selective Pickups and Deliveries (VRPSPD), that in addition to the order selection also routes the vessels carrying the orders, can be used in a practical planning setting. To quantify and justify the benefits of using the VRPSPD and OSP models in a real planning situation, an industry case based on real data was simulated in a rolling horizon framework and solved for an entire year. In addition to the traditional cost metric used, the focus of this paper lies on the implication these have on other important aspects that are often neglected in traditional optimization models; regularity and level of service. Several strategies for overbooking and postponing orders were also evaluated with respect to their cost, regularity, and level of service.

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Optimal fleet composition and periodic routing of offshore supply vessels

Cited by 75 publications

References 18 publications

Optimization in offshore supply vessel planning

Optimization in offshore supply vessel planning

Operation and Maintenance Modelling

Offshore Supply Planning in a Rolling Time Horizon

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