Top.Mail.Ru

Scientific and technical journal

«Equipment and technologies for oil and gas complex»

ISSN 1999-6934

The shift of approach to improving the efficiency of technological processes using digital technologies

UDC: 622.244
DOI: -

Authors:

SHALYAPIN D.V.1,2,
BAKIROV D.L.1,
FATTAKHOV M.M.1,2,
KUZNETSOV V.G.2

1 LUKOIL-Engineering, Tyumen, Russia
2 Industrial University of Tyumen, Tyumen, Russia

Keywords: technological mode, machine learning, problems of the oil and gas industry, digitalization, wells cementing, primary formation exposing

Annotation:

The technological development of various branches of science and technologyis subjected to certain time cycles. Each cycle is characterized by its own technological structure, the alternation of which occurs in several stages: the development of science and technology based on the existing knowledge, the structural restructuring of the economy, the accumulation of problems that cannot be solved within the framework of the existing technologies, and the search for innovative solutions. At the moment, the concepts of six technological structures have been formed, the oil and gas industry in Russia and the world is characterized by a transition period between the fourth and fifth structures, since the problems facing the industry can no longer be solved using standard approaches. One of the ways to solve the problem of the lack of positive dynamics of various technological processes is the use of machine learning algorithms in the development of new technological solutions. Home and foreign oil and gas companies introduce digital technologies various production processes: from seismic survey to modeling the demand for energy sources. LLC "LUCOIL-Engineering" has created and implemented a methodology for digitalizing the process of technological solutions development, thus reaching improvement of wells cementing quality and increasing permeability restoration coefficient.

Bibliography:

1. Glaz'ev S. Smena tekhnologicheskikh ukladov i strategii partnerstva tsivilizatsiy: dokl. na IV Tsivilizatsionnom forume v Shankhae. – 2010. – URL: https://economic_slovar.jofo.me/596788.html (data obrashcheniya: 08.07.2024).
2. Roco M.C., Bainbridge W.S. Converging Technologies for Improving Human Performance: Integrating from the Nano scale // J. of Nanoparticle Research. – 2002. – Vol. 4, No. 4. – P. 281–295.
3. Glushchenko V.V. Zadachi obshchey teorii tekhnologicheskikh ukladov // Kazakhstan Science J. – 2020. – T. 3, № 2(15). – S. 60–74.
4. Tekhnologicheskiy uklad // Bol'shaya Rossiyskaya entsiklopediya. – URL: https://bigenc.ru/c/tekhnologicheskii-uklad-f21f29 (data obrashcheniya: 10.07.2024).
5. Global Artificial Intelligence Study: Sizing the prize. – URL: https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html (data obrashcheniya: 10.07.2024).
6. Haan K., Holznienkemper L. 22 Top AI Statistics and Trends in 2024. – URL: https://www.forbes.com/advisor/business/ai-statistics (data obrashcheniya: 10.07.2024).
7. Gvozdikova N.K. Rossiya na puti shestogo tekhnologicheskogo uklada // Nauch.-metod. elektron. zhurn. "Kontsept". – 2016. – T. 34. – S. 31–33.
8. Il'in V.V. Tekhniko-innovatsionnyy potentsial ekonomicheskogo razvitiya regiona // Problemy razvitiya territorii. – 2009. – Vyp. 2(48). – S. 43–47.
9. Prokhorova I.S. Tekhnologicheskiy potentsial razvitiya innovatsionnoy ekonomiki v Rossii: predely i ogranicheniya shestogo tekhnologicheskogo uklada // Vestn. un-ta. – 2020. – № 2. – S. 68–75. – DOI: 10.26425/1816-4277-2020-2-68-75
10. The Global Innovation Index 2018. Energizing the World with Innovation / Editors S. Dutta, B. Lanvin, S. Wunsch-Vincent. – 11th edition. – Cornell University; INSEAD; the World Intellectual Property Organization, 2018. – 430 p. – URL: https://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2018 (data obrashcheniya: 10.07.2024).
11. The Global Innovation Index 2019. Creating Healthy Lives – The Future of Medical Innovation / Editors S. Dutta, B. Lanvin, S. Wunsch-Vincent. – 12th edition. – Cornell University; INSEAD; the World Intellectual Property Organization, 2019. – 451 p. – URL: https://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2019.pdf (data obrashcheniya: 10.07.2024).
12. Silin Ya.P., Animitsa E.G., Novikova N.V. Teorii ekonomicheskogo rosta i ekonomicheskogo tsikla v issledovanii regional'nykh protsessov novoy industrializatsii // J. of New Economy. – 2019. – T. 20, № 2. – S. 5–29. – DOI: 10.29141/2073-1019-2019-20-2-1
13. Antokhina Yu.A., Kolesnikov A.M., Voroshin E.A. Osobennosti ekonomicheskogo razvitiya innovatsionno-aktivnykh promyshlennykh predpriyatiy // Ekonomika i upravlenie. – 2019. – № 2(160). – S. 69–77.
14. Neftegazovaya nauka i obrazovanie – istoriya stanovleniya i rol' v razvitii neftyanoy i gazovoy promyshlennosti Rossii / V.A. Kos'yanov, V.Yu. Kerimov, A.G. Vorob'ev, V.P. Moiseenko // Gornyy zhurn. – 2021. – № 5. – S. 103–108.
15. Che Desin'. Tendentsii i ogranicheniya razvitiya neftegazovoy otrasli v dolgosrochnoy perspektive // Mezhdunar. nauch.-issled. zhurn. – 2018. – № 1-2(67). – S. 142–146. – DOI: 10.23670/IRJ.2018.67.144
16. Energeticheskaya strategiya Rossii na period do 2035 goda: utv. rasporyazheniem Pravitel'stva Rossiyskoy Federatsii ot 9 iyunya 2020 g. № 1523-r. – URL: http://static.government.ru/media/files/w4sigFOiDjGVDYT4IgsApssm6mZRb7wx.pdf (data obrashcheniya: 10.07.2024).
17. Novikov Yu.N. Dinamika izmeneniy i sovremennoe sostoyanie mirovykh zapasov, dobychi i potrebleniya nefti // Neftegazovaya geologiya. Teoriya i praktika. – 2013. – T. 8, № 1. – S. 9.
18. Dmitrievskiy A.N., Komkov N.I., Krotova M.V. Perspektivy innovatsionnogo razvitiya otechestvennogo neftegazovogo kompleksa // MIR (Modernizatsiya. Innovatsii. Razvitie). – 2015. – T. 6, № 3-1(23). – S. 62–77. – DOI: 10.18184/2079-4665.2015. 6.3.62.77
19. Problemy i perspektivy tekhnologicheskogo obnovleniya rossiyskoy ekonomiki: kollektiv. monogr. / S.Yu. Eroshkin, A.A. Grevtsev, A.V. Lazarev [i dr.]. – M.: MAKS Press, 2007. – 738 s.
20. Prognozirovanie perspektiv tekhnologicheskoy modernizatsii ekonomiki Rossii: kollektiv. monogr. / N.I. Komkov, N.E. Antonova, I.N. Aleksandrov [i dr.]; otv. red. V.V. Ivanter, N.I. Komkov. – M.: MAKS Press, 2010. – 816 s.
21. Dolgosrochnyy prognoz vazhneyshikh napravleniy nauchno-tekhnologicheskogo razvitiya na period do 2030 goda: analit. rezyume. – URL: http://innovation.gov.ru/sites/default/files/documents/2014/16051/3314.pdf (data obrashcheniya: 08.07.2024).
22. Resursno-innovatsionnoe razvitie ekonomiki Rossii / A.N. Dmitrievskiy, N.I. Komkov, A.M. Mastepanov, M.V. Krotova / pod red. A.M. Mastepanova, N.I. Komkova. – Izhevsk: In-t komp'yuter. issled., 2013. – 736 s.
23. Faktory razvitiya nefteservisnogo rynka Rossii / I. Filimonova, V. Nemov, A. Komarova, S. Kozhevina // Neftegazovaya vertikal'. – 2020. – № 21-22. – S. 6–14. – URL: https://ngv.ru/upload/iblock/8d7/8d70fac009dad8035b66de99a91e1969.pdf (data obrashcheniya: 09.07.2024).
24. Sovershenstvovanie metodiki analiza dannykh po krepleniyu skvazhin / D.V. Shalyapin, D.L. Bakirov, M.M. Fattakhov, V.G. Kuznetsov // Str-vo neftyanykh i gazovykh skvazhin na sushe i na more. – 2022. – № 5(353). – S. 36–39. – DOI: 10.33285/0130-3872-2022-5(353)-36-39
25. Reiff N., Brown J.R., Velasquez V. 10 Biggest Oil Companies. – 2024. – URL: https://www.investopedia.com/articles/personal-finance/010715/worlds-top-10-oil-companies.asp
26. Koroteev D., Tekic Z. Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future // Energy and AI. – 2021. – Vol. 3. – Article No. 100041. – DOI: 10.1016/j.egyai.2020.100041
27. Well Cementing / Editors E.B. Nelson, D. Guillot. – 2nd edition. – Schlumberger, 2006. – XXIV, 773 p.
28. Shalyapin D.V., Bakirov D.L., Kuznetsov V.G. Otsenka effektivnosti vnedreniya tekhnologicheskikh resheniy po povysheniyu kachestva krepleniya skvazhin, razrabotannykh na osnove tsifrovykh tekhnologiy // Izv. vuzov. Neft' i gaz. – 2023. – № 3(159). – S. 68–83. – DOI: 10.31660/0445-0108-2023-3-68-83