НЕФТЯНАЯ ПРОВИНЦИЯ

Abstract

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The article shows that with the help of modern information technologies it is possible to represent formalized knowledge (facts), the truth or falsity of which can be proved. In particular, these methods can be used in the digital economy of subsoil use. In this case, it is supposed to analyze the processed information on the options for field development in order to solve the problem of synthesizing computational algorithms. Involvement of "systems engineers" in calculations significantly reduces the modeling process. Relevant is that the bipartite graphs, which are part of the developed automated system, allow you to visually enter and correct technical and economic information on the options for field development.

Key words:

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oil and gas fields, economic assessment, economic modeling, computer modeling, automated system, investment project, economic assessment

References

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Authors

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Ju.G. Bogatkina, PhD, Leading Research Associate, Analytical Center for Technology Forecasting in the Oil and Gas Industry, Federal State Budgetary Institution – Institute of Oil and Gas Problems of the Russian Academy of Sciences

3, Gubkina st., Moscow, 119333, Russian Federation

E-mail: ubgt@mail.ru

 

O.A. Stepankina, Senior Lecturer, Chair of Automated Control Systems, Russian State University named after I.M. Gubkin

65, Leninsky Ave., Moscow, 119991, Russian Federation

E-mail: olga@bugtraq.ru

For citation:

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Ju.G. Bogatkina, O.A. Stepankina Modelirovanie rascheta jekonomicheskih pokazatelej po mestorozhdenijam nefti i gaza s primeneniem intellektual'nyh algoritmov [Modeling of calculation of economic indicators for oil and gas fields using intellectual algorithms]. Neftyanaya Provintsiya, No. 1(25), 2021. pp. 189-200. DOI https://doi.org/10.25689/NP.2021.1.189-200 (in Russian)