IDEAS home Printed from https://ideas.repec.org/a/spr/sorede/v33y2022i3d10.1134_s1075700722030078.html
   My bibliography  Save this article

Knowledge Generation in Raw Material Industries

Author

Listed:
  • V. A. Kryukov

    (Institute of Economics and Industrial Engineering, Siberian Branch, Russian Academy of Sciences)

  • D. V. Milyaev

    (Institute of Economics and Industrial Engineering, Siberian Branch, Russian Academy of Sciences)

  • D. I. Dushenin

    (Institute of Economics and Industrial Engineering, Siberian Branch, Russian Academy of Sciences)

  • A. D. Savel’eva

    (Institute of Economics and Industrial Engineering, Siberian Branch, Russian Academy of Sciences)

  • M. Yu. Skuzovatov

    (Institute of Economics and Industrial Engineering, Siberian Branch, Russian Academy of Sciences)

Abstract

— The article presents a mathematical toolkit for forecasting the development of innovative technologies that can be used for cost-effective development of hard-to-recover hydrocarbon reserves. The proposed approach is a symbiosis of agent-based models, Bayesian networks, learning curves, statistical analysis, and numerical simulation modeling methods. These techniques have not been used as a set in research related to the oil and gas industry ever before. The practical significance of the modeling toolkit is based on the prioritization of measures aimed at innovative growth in the oil and gas sector. To test the approach, calculations are performed for three objects: complex structures of the Predpatomsky trough in eastern Siberia and the Republic of Sakha (Yakutia), deposits of the Pre-Jurassic complex in the south-east of western Siberia, and natural bitumen in the Republic of Tatarstan. The calculations confirm the working hypothesis about the practicability of forming technological clusters for efficient extraction of hard-to-recover hydrocarbons.

Suggested Citation

  • V. A. Kryukov & D. V. Milyaev & D. I. Dushenin & A. D. Savel’eva & M. Yu. Skuzovatov, 2022. "Knowledge Generation in Raw Material Industries," Studies on Russian Economic Development, Springer, vol. 33(3), pages 257-266, June.
    • Handle: RePEc:spr:sorede:v:33:y:2022:i:3:d:10.1134_s1075700722030078
    DOI: 10.1134/S1075700722030078
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S1075700722030078
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1134/S1075700722030078?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Turrell, Arthur, 2016. "Agent-based models: understanding the economy from the bottom up," Bank of England Quarterly Bulletin, Bank of England, vol. 56(4), pages 173-188.
    2. V. A. Kryukov & A. A. Gorlov, 2019. "Forecasting the Development Process of Wind Energy in the North Sea Basin Based on Learning Curves," Studies on Russian Economic Development, Springer, vol. 30(2), pages 177-184, March.
    3. Philip Cooke & Loet Leydesdorff, 2006. "Regional Development in the Knowledge-Based Economy: The Construction of Advantage," The Journal of Technology Transfer, Springer, vol. 31(1), pages 5-15, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Morgenroth, Edgar & FitzGerald, John & FitzGerald, John, 2006. "Summary and Conclusions," Book Chapters, in: Morgenroth, Edgar (ed.),Ex-Ante Evaluation of the Investment Priorities for the National Development Plan 2007-2013, chapter 24, pages 317-333, Economic and Social Research Institute (ESRI).
      • Baker, Terence J. & FitzGerald, John & Honohan, Patrick & FitzGerald, John & Honohan, Patrick, 1996. "Summary and Conclusions," Book Chapters, in: Baker, Terence J. (ed.),Economic Implications for Ireland of EMU, chapter 12, pages 339-352, Economic and Social Research Institute (ESRI).
    2. Matthew A. Shapiro & Han Woo Park, 2012. "Regional development in South Korea: accounting for research area in centrality and networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 271-287, January.
    3. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Hugues Jeannerat & Leila Kebir, 2012. "Mobility of Knowledge. Knowledge resources and markets: What territorial economic systems ?," GRET Publications and Working Papers 02-12, GRET Group of Research in Territorial Economy, University of Neuchâtel.
    5. Susan Christopherson & Jennifer Clark, 2010. "Limits to ‘The Learning Region’: What University-centered Economic Development Can (and Cannot) do to Create Knowledge-based Regional Economies," Local Economy, London South Bank University, vol. 25(2), pages 120-130, March.
    6. Jernej Buzeti & Klun Maja & Janez Stare, 2021. "Correlation of Ethical Conduct within an Organisation with the Absence of Employees from Work," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 9, January -.
    7. Samul Joanna & Skapska Elzbieta & Pankov Dmitrij, 2019. "Employees’ Competences in Knowledge-Intensive Business Sector – Comparative Analysis in Two Cee Countries," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 64(1), pages 3-15, April.
    8. Eva Panetti & Adele Parmentola & Marco Ferretti & Elisabeth Beck Reynolds, 2020. "Exploring the relational dimension in a smart innovation ecosystem: a comprehensive framework to define the network structure and the network portfolio," The Journal of Technology Transfer, Springer, vol. 45(6), pages 1775-1796, December.
    9. Byun, Jeongeun & Park, Hyun-woo & Hong, Jae Pyo, 2017. "An international comparison of competitiveness in knowledge services," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 203-213.
    10. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
    11. Hałaj, Grzegorz, 2018. "System-wide implications of funding risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1151-1181.
    12. Patrycjusz Zarębski & Dominik Katarzyński, 2023. "A Theoretical Framework for a Local Energy Innovation System Based on the Renewable Energy Case of Poland," Energies, MDPI, vol. 16(9), pages 1-24, April.
    13. Lisa De Propris & Carlo Corradini, 2013. "Technological platforms and global opportunities," ERSA conference papers ersa13p867, European Regional Science Association.
    14. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    15. Ronnié Figueiredo & João José Matos Ferreira, 2020. "Spinner Model: Prediction of Propensity to Innovate Based on Knowledge-Intensive Business Services," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(4), pages 1316-1335, December.
    16. Roman Martin, 2013. "Differentiated Knowledge Bases and the Nature of Innovation Networks," European Planning Studies, Taylor & Francis Journals, vol. 21(9), pages 1418-1436, September.
    17. Pasquale Del Vecchio & Gianluca Elia & Valentina Ndou & Giustina Secundo & Fabrizio Specchia, 2017. "Living Lab as an Approach to Activate Dynamic Innovation Ecosystems and Networks: An Empirical Study," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(05), pages 1-18, October.
    18. Yoguel, Gabriel & Brixner, Cristián & Lerena, Octavio & Minervini, Mariana, 2021. "The relationship between universities and business: identification of thematic communities," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    19. Ernesto Tavoletti & Robbin Velde, 2008. "Cutting Porter’s Last Diamond: Competitive and Comparative (Dis)advantages in the Dutch Flower Cluster," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 15(2), pages 303-319, September.
    20. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sorede:v:33:y:2022:i:3:d:10.1134_s1075700722030078. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.