Open AccessApplication of multicriteria fuzzy clusterization approach to assess the arctic seas oil and gas field development prospects
Author(s) -
Konstantin Pivovarov,
A.B. Zolotukhin,
Vlada Streletskaya
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/700/1/012049
Subject(s) - fuzzy logic , natural resource , computer science , the arctic , development (topology) , field (mathematics) , arctic , petroleum industry , environmental science , operations research , environmental resource management , petroleum engineering , geology , environmental engineering , mathematics , artificial intelligence , oceanography , ecology , pure mathematics , mathematical analysis , biology
The article describes a unified approach to the assessment of resources and business planning. As an example, the oil and gas resources of the Pechora Sea are considered in the paper. Based on the specifics of the problem (the quantity and quality of the available data and their nature), the methods of multicriteria fuzzy clusterization are used. The assessment of the prospects for the development of oil and gas fields was carried out using 3 criteria, namely: availability of resources (natural and climatic conditions of the region); hydrocarbon resources and their degree of exploration; economic assessment of the development. The results of such an analysis are presented in the form of maps of the Pechora Sea area, illustrating the most important and accessible areas and the sequence of their development. Such a stepwise development based on minimizing the risk and maximizing the benefits can be the basis for the successful and trouble-free development of the resources of the entire region.