НЕФТЯНАЯ ПРОВИНЦИЯ

Abstract

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Hydrocarbons demand and oil prices decreasing, restrictions on oil production, share of depleted reserves and water cut increasing - all these factors face oil companies with the task of adjusting their own asset management strategies.

The article considers an approach of improving the quality of management decisions in oil fields development based on long-term multi-period planning of production enhancement operations. The article describes methodology of applying optimization models to long-term development plan for all oil facilities of the company, considering the restrictions on capital investments or oil production for a specific period. The objective functions used in the optimization models are presented. The effectiveness of neural network algorithms and high-performance computing in solving large-scale problems is shown.

Key words:

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production enhancement operations, planning, investment portfolio, optimization models, neural networks, high performance computing

References

 

1. U.N. Bobylev Mirovoj rynok nefti: osnovnye tendencii [The main trends in the world oil market]. Ekonomicheskoe razvitie Rossii, No.2, 2020, pp.25-28 (in Rusian)

2. A.A. Vashkevich, V.A. Shashel, A.S. Bochkov, V.V. Zhukov, S.A. Pogrebnyuk, R.R. Gazaliev, P.U. Kiselev, E.G. Fedorov, A.V. Sizykh Optimizaciya portfelya proektov geologo-razvedochnyh rabot c cel'yu povysheniya effektivnosti [Optimization of prospecting projects portfolio aimed at efficiency improvement]. Neftyanoye Khozyaistvo, No.12, 2017, pp.10‑13 (in Russian)

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4. Tim Benham, Qibin Duan, Dirk P. Kroese, Benoît Liquet, 2017. CEoptim: Cross-Entropy R Package for Optimization. Journal of Statistical Software. 76, Issue 8. www.jstatsoft.org/index.php/jss/article/view/v076i08/v76i08.pdf.

5. Yang Xiang, Sylvain Gubian, Brian Suomela and Julia Hoeng. Generalized Simulated Annealing for Global Optimization: The GenSA Package. The R Journal. 2013. 5:1. p. 13-28. journal.r-project.org/archive/2013/RJ-2013-002/RJ-2013-002.pdf.

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Authors

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A.V. Nasybullin, Dr.Sc, Professor, Head of the Department for Development and Operation of Oil and Gas Fields, Almetyevsk State Oil Institute, Almetyevsk

2, Lenin st., Almetyevsk, 423450, Russian Federation

E-mail: arsval@bk.ru

 

A.V. Chirikin, Leading business analyst, PJSC TATNEFT

75, Lenin st., Almetyevsk, 423450, Russian Federation

E-mail: chirikinav@gmail.com

 

R.G. Girfanov, Head of the group of mathematical modeling of production processes, PJSC TATNEFT

75, Lenin st., Almetyevsk, 423450, Russian Federation

E-mail: girfanov_rg@tatneft.ru

 

O.V. Denisov, PhD, Leading business analyst, PJSC TATNEFT

75, Lenin st., Almetyevsk, 423450, Russian Federation

E-mail: denisovov@tatneft.ru

 

R.G. Lazareva, Leading business analyst, PJSC TATNEFT

75, Lenin st., Almetyevsk, 423450, Russian Federation

E-mail: regina.lazareva@gmail.com

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For citation:

 

A.V. Nasybullin, A.V. Chirikin, R.G. Girfanov, O.V. Denisov, R.G. Lazareva Primenenie optimizacionnyh algoritmov pri formirovanii dolgosrochnoj programmy geologo-tehnicheskih meroprijatij v uslovijah ogranichenij [Application of optimization algorithms in the formation of a long-term program of production enchancement operation under conditions of constraints]. Neftyanaya Provintsiya, No. 3(23), 2020. pp.113-123. DOI https://doi.org/10.25689/NP.2020.3.113-123 (in Russian)