Bibliographic description:Kondratenko A.A., Tarovik O.V. Arctic Supply Vessel Design taking into account the Cargo Flow Structure of the Transport System. Arctic: ecology and economy, 2019, no. 2(34), pp. 80-96. DOI: 10.25283/2223-4594-2019-2-80-96. (In Russian).
Recent developments in the area of Arctic oil and gas fields’ exploration put into the agenda the problem of supply fleet sizing and composition. The state of the art contains many studies that are generally focused on the impact of ice conditions on the design of platform supply vessels (PSV). However, the structure of cargo flow affects the supply system significantly, since it defines the level of utilization of vessel capacities and determines transport efficiency. This is especially relevant in the case of Arctic supply systems because of non-typical technology for the production and logistics of brine/mud cargoes. This paper describes an approach to optimize the supply fleet configuration using the criterion of total costs and considering both the non-stationary ice conditions and the structure of cargo flows. The proposed design concept incorporates the detailed calculation model of PSVs and the special tactical planning algorithm. The latter generates the voyage plan and estimates the size of supply fleet considering the structure of cargo flow. As the test example, we examined the task of servicing the group of platforms in the Kara Sea. We performed the analysis of impact of various factors on fleet efficiency. The considered factors are the structure of cargo flow, ice class and deadweight, type of vessel (PSV or AHTS) and distribution of vessel capacity by cargo types. The case study showed that cargo flow structure highly influence the efficiency of supply fleet, while a widespread “deck-cargo” approach is unable to consider the true nature of the process. Therefore, this factor should be taken into account when solving fleet sizing and composition tasks, as well as PSV design problems.
Finance info: Исследование выполнено за счет гранта Российского научного фонда (проект № 177920162).
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