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Математическое моделирование оптимального состава челночных танкеров для транспортировки углеводородов российских месторождений Каспийского шельфа

Математическое моделирование оптимального состава челночных танкеров для транспортировки углеводородов российских месторождений Каспийского шельфа

Abstract

The basic principles of creating the mathematical model of definition of the optimum parameters and quantity of shuttle tankers for Russian hydrocarbon deposits maintenance in the Northern Caspian Sea are given. On the basis of the statistical analysis of 94 tankers suitable for exploitation in the Northern Caspian Sea the curve of dependence of the main tankers' elements on their deadweights like X = f (DW) is drawn. Based on the economic calculations the choice of the optimum type of transportation is made. The general block scheme of the calculation algorithm of the optimum characteristics of the shuttle tankers and their quantity in the overhead costs' criteria is presented.

Приводятся основные принципы построения математической модели расчета оптимальных параметров и количества челночных танкеров для обслуживания российских углеводородных месторождений Северного Каспия. На основании статистического анализа 94 танкеров, подходящих по своим параметрам для эксплуатации на Северном Каспии, построены графики зависимости основных элементов от дедвейта танкеров вида X = f (DW). На основании экономических расчётов проводится выбор оптимального варианта транспортировки. Приведена общая блок-схема алгоритма расчета оптимальных характеристик челночных танкеров и их количества с учетом приведённых затрат. Библиогр. 8. Ил. 3.

Keywords

ПРОЕКТИРОВАНИЕ СУДОВ, ЧЕЛНОЧНЫЙ ТАНКЕР, МОРСКАЯ ТРАНСПОРТИРОВКА НЕФТИ, ШЕЛЬФ КАСПИЙСКОГО МОРЯ, МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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