Algorithm for assessing the prospects of offshore oil and gas projects in the Arctic

被引:27
|
作者
Ilinova, Alina [1 ]
Chanysheva, Amina [1 ]
机构
[1] St Petersburg Min Univ, 21st Line Vasilievsky Isl 2, St Petersburg 199106, Russia
基金
俄罗斯科学基金会;
关键词
Forecasting; Shelf; Arctic; Oil and gas projects; Algorithm; Hydrocarbon resources; Prospects;
D O I
10.1016/j.egyr.2019.11.110
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Russia is one of the key players in the Arctic with ambitions to continue development its Arctic oil resources. Nowadays the only fully launched oil and gas offshore project in Russia is the platform Prirazlomnaya, a number of other projects are at the various stages of realization and their prospects remain unclear today. There are a number of factors that are preventing Russia from fully developing its offshore Arctic oil potential. The aim of this paper is to create a methodological base for assessment of prospects of Arctic offshore projects. We develop an algorithm for such assessment, which consists of three stages: (i) general expert survey; (ii) informational basis development; (iii) specific expert survey. We are focusing on the specific features of the Arctic oil and gas projects, possibilities of using existing forecasting methods, as well as on the complex approach to our research. (C) 2019 Published by Elsevier Ltd.
引用
收藏
页码:504 / 509
页数:6
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