Intelligent management of an innovative oil and gas producing company under conditions of the modern system crisis

Maxim Krasnyuk (), Iryna Hrashchenko (), Svitlana Goncharenko (), Svitlana Krasniuk () and Yurii Kulynych ()
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Maxim Krasnyuk: Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine
Iryna Hrashchenko: National Aviation University, Kyiv, Ukraine
Svitlana Goncharenko: Kyiv National University of Technologies and Design, Kyiv, Ukraine
Svitlana Krasniuk: Kyiv National University of Technologies and Design, Kyiv, Ukraine
Yurii Kulynych: National University of Food Technologies, Kyiv, Ukraine

Access Journal, 2023, vol. 4, issue 3, 352-374

Abstract: This publication presents the part of the research results and practical results obtained by the authors regarding the hybrid use of economic-mathematical modelling, knowledge-oriented decision support technology of an oil and gas production company using fuzzy logical inference. The purpose of this research is the development of theoretical provisions of modelling and knowledge-oriented decision support means at the macro level of oil and gas production companies. The purpose of the work determined the solution of the following tasks: - development of science-based recommendations regarding the architecture of a knowledge-oriented DSS of an oil and gas company, the basic model of knowledge presentation, features of the logical conclusion mechanism, etc.; - development of a complex system of economic and mathematical support for decision-making at the macro level of an oil and gas production company in modern economic conditions. The object of the study is the oil and gas production industry. The subject of the research is information processes, economic-mathematical models and knowledge-oriented methods and means of supporting the adoption of management decisions at the strategic level on economic and production issues of the domestic oil and gas production project. Methods/Approach: Economic and mathematical methods, methods of artificial intelligence, methods of logical generalization, expert evaluations and situational approach are used to solve the tasks set in the work. Results: The main scientific result of the work consists in the creation of the concept that allows creating a hybrid DSS of an oil and gas company on the basis of the developed systems of economic and mathematical decision-making support at the macro level of an oil and gas production company, focused on knowledge of technology and intelligent technologies. Conclusions: The scientific, theoretical and applied practical solutions proposed in this publication are universal for implementation by both state and private oil and gas resident and non-resident companies for emerging markets, however, in order for a specific oil and gas company to obtain special additional competitive advantages over others, additional industry-specific Big Data Analysis of collected and stored heuristics, expertise and project development are required.

Keywords: investment project; oil&gas exploration and production; production rules; economic and mathematical modelling; DSS; fuzzy inference (search for similar items in EconPapers)
JEL-codes: D81 D83 G11 L71 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:aip:access:v:4:y:2023:i:3:p:352-374

DOI: 10.46656/access.2023.4.3(2)

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