Intelligent management of an innovative oil and gas producing company under conditions of the...

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

Published Online: Jul 15, 2023

Maxim KRASNYUK

Email: krasnyuk@kneu.edu.ua
Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine

Iryna HRASHCHENKO

Email: iryljgrafira@nau.edu.ua
National Aviation University, Kyiv, Ukraine

Svitlana GONCHARENKO

Email: honcharenko.sm@knutd.edu.ua
Kyiv National University of Technologies and Design, Kyiv, Ukraine

Svitlana KRASNIUK

Email: krasnyuk.so@knutd.edu.ua
Kyiv National University of Technologies and Design, Kyiv, Ukraine

Yurii KULYNYCH

Email: iurii.kulynych@gmail.com
National University of Food Technologies, Kyiv, Ukraine

Views: 859

Downloads: 44

Download PDF

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

Pages:

352-374

JEL Classification:

С01, G11, D81, D83, L71

DOI:

https://doi.org/10.46656/access.2023.4.3(2)

How to cite:

Krasnyuk, M., Hrashchenko, I., Goncharenko, S., Krasniuk, S., Kulynych, Yu. (2023). Intelligent management of an innovative oil and gas producing company under conditions of the modern system crisis. Access to science, business, innovation in the digital economy, ACCESS Press, 4(3), 352-374, https://doi.org/10.46656/access.2023.4.3(2)

References:

Goncharenko, S., Krasnyuk, M., Krasniuk, S. (2022) Intelligent technologies in HYBRID corporate DSS (on the example of Ukraine oil&gas production company) https://doi.org/10.36059/978-966-397-255-8-11
Hrashchenko I., Krasnyuk M., Krasniuk S., Kustarovskiy O. (2019) Reengineering of a Logistic Company and its Information System Taking into Account Macroeconomic Crisis. Modern Economics. 2019. Vol. 13(2019). Pp. 141-153
Hrashchenko, I., Krasnyuk, M., Goncharenko, S., Krasniuk, S. (2022) Hybrid application of decision trees, fuzzy logic and production rules for supporting investment decision making (on the example of an oil and gas producing company). Access to science, business, innovation in digital economy, ACCESS Press, 3(3): 278-291. DOI: https://doi.org/10.46656/access.2022.3.3(7)
Iliev, N., Marinov, M., Milinov, V., Petrova, M. (2023). Is Investment Portfolio Construction Sustainable in the Circular Economy Paradigm - The Case of ESG Investment?. In: Koval, V., Kazancoglu, Y., Lakatos, ES. (eds) Circular Business Management in Sustainability. ISCMEE 2022. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-23463-7_2, ISBN 978-3-031-23462-0, pp. 15 -42
Kovalenko-Marchenkova, Y. (2022). Management of the National Economy as an Element of the Socio-Economic Space of the Country. Economics. Ecology. Socium, 6, 30-37. https://doi.org/10.31520/2616-7107/2022.6.3-4
Krasnyuk, M., Krasniuk, S. (2021) Association rules in finance management. ΛΌГOΣ, 2021. 9-10 https://doi.org/10.36074/logos-26.02.2021.v1.01
Krasniuk. S., Krasnyuk, M. (2020a) Efficiency of statistical methods of reducing the dimension of geological and geophysical attributes for exploration of prospective hydrocarbon deposits. ΛΌГOΣ (2020): 69-71
Krasniuk S., Krasnyuk M., (2020b) Application of artificial neural networks for reducing dimensions of geological-geophysical data set's for the identification of perspective oil and gas deposits. ΛΌГOΣ. – 2020. 18-19
Kulynych Yu., Krasnyuk M., Tkalenko A., Krasniuk S. (2021) Methodology of Effective Application of Economic-Mathematical Modeling as the Key Component of the Multi-Crisis Adaptive Management. Modern Economics. 2021. 29 (2021). 100-106
Kulynych, Yu., Krasnyuk, M., Krasniuk, S. (2022) Knowledge discovery and data mining of structured and unstructured business data: problems and prospects of implementation and adaptation in crisis conditions. Grail of Science, (12-13), 63–70. https://doi.org/10.36074/grail-of-science.29.04.2022.006
Kustarovskiy O.D., Krasnyuk M.T., Hrashchenko I.S., Krasniuk S.O. (2018) Methodology of effective application of Big Data and Data Mining technologies as an important anti-crisis component of the complex policy of logistic business optimization. Economies’ Horizons. 2018. No. 3(6). Рp. 121–136
Lazarova, E.; Pavlov, P.; Petrova, M.; Shalbayeva, S. (2023). Analysis and Assessment of Infrastructural Potential in Rural Territories. Economics. Ecology. Socium, 7, 1-14. https://doi.org/10.31520/2616-7107/2023.7.1-1
Mikhno, I.; Koval, V.; Sedikova, I.; Kotlubai, V. (2022). Digital Globalization in the International Development of Strategic Alliances. Economics. Ecology. Socium, 6, 11-21. https://doi.org/10.31520/2616-7107/2022.6.1-2
Ostapenko T., Onopriienko D., Hrashchenko I., Palyvoda O., Krasniuk S., Danilova E. (2022) Research of impact of nanoeconomics on the national economic system development // Innovative development of national economies: collective monograph. – Kharkiv: PC TECHNOLOGY CENTER, 2022. – P. 46-70. https://er.knutd.edu.ua/handle/123456789/23168
Ramazanov, S., Stemplewska, L. (2020a). Decision-making in conditions of dilemma: risks and mixed information uncertainty. Access to science, business, innovation in digital economy, ACCESS Press, 1(2): 112-121. https://doi.org/10.46656/access.2020.1.2(3)
Ramazanov, S. Petrova, M. (2020b). Development management and forecasting in a green innovative economy based on the integral dynamics model in the conditions of «Industry - 4.0». Access to science, business, innovation in digital economy. ACCESS Press, 1(1): 9-30. https://doi.org/10.46656/access.2020.1.1(1)
Shopova, M., Petrova, M., Todorov, L. (2023). Trade in Recyclable Raw Materials in EU: Structural Dynamics Study. In: Koval, V., Kazancoglu, Y., Lakatos, ES. (eds) Circular Business Management in Sustainability. ISCMEE 2022. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-23463-7_3, ISBN 978-3-031-23462-0, pp.43-64
Sribna, Y.; Skakovska, S.; Paniuk, T.; Hrytsiuk, I. (2023). The Economics of Technology Transfer in The Environmental Safety of Enterprises for the Energy Transition. Economics. Ecology. Socium, 7, 84-96. https://doi.org/10.31520/2616-7107/2023.7.1-8
Tuhaienko, V., Krasnyuk, M., Kulynych, Y., Krasniuk, S. (2022) E-business and e-commerce technologies as an important factor for economic efficiency and stability in the modern conditions of the digital economy (on the example of oil and gas company). Grail of Science. – 2022. – №. 17. –69-81

Latest issue

Our latest issues

Need help?

Access Journal

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

Yurii KULYNYCH

Views: 859

Downloads: 44

Abstract:

Keywords:

Pages:

JEL Classification:

DOI:

How to cite:

References:

journal impact factor™ (2023)

journal citation indicator™ (2023)

Call for papers: OPEN

Our proposal

Special issues

From our latest issue

Archive

Keywords

Indexes

Publish your science journal