Application of multicriteria fuzzy clusterization approach to assess the Arctic seas oil and gas field development prospects

Cover Page


Cite item

Full Text

Abstract

The article describes a unified approach to the assessment of resources and business planning. As an example, the paper considers oil and gas resources of the Pechora Sea. 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 troublefree development of the resources of the entire region.

About the authors

K. N. Pivovarov

РГУ нефти и газа им. И.М. Губкина

Author for correspondence.
Email: pivovarov_k@mail.ru

аспирант

Russian Federation, г. Москва

V. V. Streletskaya

РГУ нефти и газа им. И.М. Губкина

Email: vlada.streletskaya@gmail.com

аспирант

Russian Federation, г. Москва

A. B. Zolotukhin

РГУ нефти и газа им. И.М. Губкина

Email: anatoly.zolotukhin@gmail.com

доктор технических наук, профессор, советник ректората, профессор кафедры разработки и эксплуатации нефтяных месторождений

Russian Federation, г. Москва

References

  1. Judzis A., Schofield T.R. and Yousif M. Stabilization of In-Situ Hydrates Enhances Drilling. – Performance and Rig Safety Proc. SPE Annual Technical Conf. and Exhibition (San Antonio), 1997, SPE 38568.
  2. Mørk K. The challenges facing Arctic pipelines, design principles for extreme conditions. – J.Offshore Oil and Gas Magazine, 2007, № 67, р. 9.
  3. Zolotukhin A. and Pivovarov K. Use of multicriteria approach and methods of fuzzy mathematics for estimating development conditions of arctic seas in terms of the south-eastern part of the Barents Sea. – J. Arctic: ecology and economy, 2018, 3(31), р. 100–111.
  4. Pivovarov K., Zolotukhin A. Streletskaya V. Application of multicriteria fuzzy clusterization approach to assess the arctic seas oil and gas field development prospects. – IOP Conf., series Material Science and Engineering, 2019, 700, 012049.
  5. Tkachenko М. Geological structure and oil and gas potential of the Jurassic complex of the central part of the East Barents megaprogib. – Moscow, 2014 (FGBU VNIGNI).
  6. Zade L. Fuzzy sets. – J. Inform. Control, 1965, № 8(3), р. 338–353.
  7. Хургин Я.А. Нечеткие методы в нефтегазовой промышленности. – М., Государственная академия нефти и газа им. И.М. Губкина, 1995, 131 с.
  8. Леоненков A. Нечеткое моделирование в MATLAB и fuzzy TECH. – Санкт-Петербург, «BHV Petersburg», 2005, 736 с.
  9. Круглов В.В., Дли М.И., Голунов Р.Ю. Нечеткая логика и искусственные нейронные сети. – М., Физматлит, 2001, 201 с.
  10. Zolotukhin A., Nesic S., Pivovarov K. and Streletskaya V. Mapping the main risks for offshore operations in the Pechora Sea. – Материалы конф. Int. Conf. on Safety and Security Engineering (Rome), SAFE, 2017, 174, p. 69–80.
  11. Zolotukhin A. Engineering methods in petroleum science. – Stavanger, Stavanger University, Preprint – Lecture notes on the master’s course MPE, 2007, 140 р.

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2020 Pivovarov K.N., Streletskaya V.V., Zolotukhin A.B.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies