Sankt-Peterburg, St. Petersburg, Russian Federation
Sankt-Peterburg, St. Petersburg, Russian Federation
Sankt-Peterburg, St. Petersburg, Russian Federation
Sankt-Peterburg, St. Petersburg, Russian Federation
employee from 01.01.2019 to 01.01.2024
Sankt-Peterburg, St. Petersburg, Russian Federation
UDC 55
UDC 550.34
UDC 550.383
CSCSTI 37.01
CSCSTI 37.15
CSCSTI 37.25
CSCSTI 37.31
CSCSTI 38.01
CSCSTI 36.00
CSCSTI 37.00
CSCSTI 38.00
CSCSTI 39.00
CSCSTI 52.00
Russian Classification of Professions by Education 05.00.00
Russian Library and Bibliographic Classification 26
Russian Trade and Bibliographic Classification 63
BISAC SCI SCIENCE
The relevance of the work is determined by the automation of monitoring processes of natural and technical systems, not so much in terms of their measurement component, but in terms of interpreting monitoring results in terms of the properties of the desired object. In this work, these are submerged pipeline systems – main oil and gas pipelines, as a special case of geotechnical objects. The goal of developing an automated workstation (AWS) for a specific object is the ultimate parameterization of the interpretation procedure and the unification of the final graphical constructions within the framework of a single digital image of main pipelines. Taking into account the deterministic type of geotechnical object and the objectives of the survey, research methods include, in addition to non-destructive magnetometric testing as a method of obtaining primary data: methods of qualitative and quantitative interpretation of multi-channel magnetometry materials; methods of systematics and graphical display of primary data and the results of their interpretation. Within the framework of approaches generally accepted in the oil and gas industry, the digital image of damaged pipeline sections is based on ideas about the thinning of pipe walls and the stress states associated with thinning zones. The stressed states of the ferromagnetic walls of immersed pipelines form specific responses in an external magnetic field, while the actual thinning of the pipeline walls is detected by contact methods. The results of the surveys are reduced to a system parametrization of magnetometric non-destructive testing data within the framework of the developed automated workplace structure. The content of the conclusions is in the development of the principle for referenceless recognition of risky sections of the pipeline as a fully automated component of diagnostician’s workplace.
automated workplace, contactless diagnostics complex, parameterization, metal magnetic memory method, non-destructive testing, submerged pipeline, qualitative and quantitative interpretation
1. Adegboye M. A., Fung W. K., Karnik A. Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches // Sensors. — 2019. — Vol. 19, no. 11. — DOI:https://doi.org/10.3390/s19112548.
2. Albanova E. V., Krapivsky E. I., Nekuchaev V. O. Research into possibilities of pipelines technical condition evaluation with magnetic methods // Environmental protection in oil and gas complex. — 2005. — No. 11. — P. 9–12. — EDN: https://elibrary.ru/HVKTKR ; (in Russian).
3. Bakharev M. S. Development of methods and means for measuring mechanical stresses based on irreversible and quasireversible magnetoelastic phenomena: PhD Thesis. — Tyumen : Tyumen State Oil, Gas University, 2004. — P. 321. — EDN: https://elibrary.ru/NNIGBX ; (in Russian).
4. Bazhin V. Y., Masko O. N., Nguyen H. H. Increasing the speed of information transfer and operational decision-making in metallurgical industry through an industrial bot // Non-ferrous Metals. — 2023. — No. 1. — P. 62–67. — DOI:https://doi.org/10.17580/nfm.2023.01.10.
5. Blinov P. A., Sadykov M. I. Evaluation of elastic-strength properties of cement-epoxy systems // Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering. — 2023. — Vol. 334, no. 1. — P. 97–105. — DOI:https://doi.org/10.18799/24131830/2023/1/3925. — (In Russian).
6. Blinov P. A., Sadykov M. I., Gorelikov V. G., et al. Development and research of backfill compounds with improved elastic and strength properties for oil and gas well lining // Journal of mining institute. — 2024. — EDN: https://elibrary.ru/OWJFHS ; (in Russian).
7. Borovko N. N. Optimization of geophysical research in the search for ore deposits. — Leningrad : Nedra, 1979. — P. 230. — (In Russian).
8. Bryusov B. A. Magnetic Survey. Geophysics Handbook : Chapter XI. Elements of the Mathematical Theory of Magnetized Bodies / ed. by V. E. Nikitsky, Yu. S. Glebovsky. — M. : Nedra, 1990. — 470 p. — (In Russian).
9. Bykov I. Yu., Boreiko D. A., Smirnov A. L., et al. Assessment of technical state of shutoff and control valves applying express methods of nondestructive monitoring // Equipment and Technologies for Oil and Gas Complex. — 2020. — No. 1. — P. 14–18. — DOI:https://doi.org/10.33285/1999-6934-2020-1(115)-14-18. — (In Russian).
10. Dolgal A. S., Khristenko L. A. Results and development of geophysical researches for prospecting of ore gold into the Eastern flankof Kuznetsk Ala-Tau // Bulletin of Kamchatka Regional Association "Educational-Scientific Center" Earth Sciences. — 2008. — Vol. 2, no. 12. — P. 48–60. — (In Russian).
11. Dubov A. A. A technique for monitoring the heating surface tubes of steam and hot-water boilers using the magnetic memory of metals // Thermal Engineering. — 1998. — No. 1. — P. 53–56. — EDN: https://elibrary.ru/LFEGZN.
12. Dubov A. A., Dubov A. A., Kolokolnikov S. M. Metal magnetic memory method and control devices: Tutorial. — Moscow : Spektr, 2012. — P. 395. — EDN: https://elibrary.ru/QMLUZF ; (in Russian).
13. Ermokhin K. M. Analytical continuation of geophysical fields by continued fractions method // Journal of mining institute. — 2009. — Vol. 183. — P. 238–241. — EDN: https://elibrary.ru/KZECFN ; (in Russian).
14. GOST 17410-2022. Non-destructive testing. Metal seamless pipes and tubes. Ultrasonic methods of defect detection. — Moscow : FSBI "RST", 2022. — P. 30. — (In Russian).
15. GOST R ISO 10543-99. Seamless and hot-stretch-reduced welded steel tubes for pressure purposes. Ultrasonic thickness testing. — Moscow : IPC Publishing House of Standards, 2005. — P. 10. — (In Russian).
16. GOST R ISO 24497. Non-destructive testing. Metal magnetic memory method. Part 1-3. — Moscow : Standartinform, 2010. — (In Russian).
17. GOST R ISO 6385-2007. Ergonomics. Ergonomic principles in the design of work systems. — Moscow : Standartinform, 2007. — P. 12. — (In Russian).
18. Kalinin D. F., Egorov A. S., Bolshakova N. V. Oil and Gas Potential of the West Kamchatka Coast and Its Relation to the Structural and Tectonic Setting of the Sea of Okhotsk Region Based on Geophysical Data // Russian Journal of Pacific Geology. — 2023. — Vol. 17, S2. — S21–S34. — DOI:https://doi.org/10.1134/s1819714023080067.
19. Khalaf A. H., Xiao Y., Xu N., et al. Emerging AI technologies for corrosion monitoring in oil and gas industry: A comprehensive review // Engineering Failure Analysis. — 2023. — Vol. 155. — DOI:https://doi.org/10.1016/j.engfailanal.2023.107735.
20. Kiani I., Chikweri I. Structural analysis of total magnetic intensity map of parts of Degema, River’s state, Nigeria, using Oasis Montag geophysical computer software // FNAS Journal of Scientific Innovations. — 2021. — Vol. 3, no. 1. — P. 70–75.
21. Kronmüller H., Seeger A. Solution of the Micromagnetic Equations of Superconductors // Physica Status Solidi (b). — 1969. — Vol. 34, no. 2. — P. 781–796. — DOI:https://doi.org/10.1002/pssb.19690340241.
22. Lebedev V., Deev A. Heat Storage as a Way to Increase Energy Efficiency and Flexibility of NPP in Isolated Power System // Applied Sciences. — 2023. — Vol. 13, no. 24. — DOI:https://doi.org/10.3390/app132413130.
23. Litvinenko V. S. Digital Economy as a Factor in the Technological Development of the Mineral Sector // Natural Resources Research. — 2019. — Vol. 29, no. 3. — P. 1521–1541. — DOI:https://doi.org/10.1007/s11053-019-09568-4.
24. Lyubchik A. N. Way remote magnitometrichesky control of the technical condition of the main pipelines // The Proceedings of the Mining Institute. — 2012. — Vol. 195. — P. 268–271. — EDN: https://elibrary.ru/QZEPFJ ; (in Russian).
25. Markov A. A. Magnetic system of scanner-inspection device. Abstract of invention RU 2680103C2. — Moscow : Federal service for intellectual property, 2019. — P. 15. — (In Russian).
26. Movchan I. B., Shaigallyamova Z. I., Yakovleva A. A. Identification of structural control factors of primary gold ore occurrences by method of unmanned aeromagnetic survey by the example of the Neryungrisky district of Yakutia // Journal of Mining Institute. — 2022. — Vol. 254. — P. 217–233. — DOI:https://doi.org/10.31897/pmi.2022.23.
27. Nguyen H. H., Bazhin V. Y. Optimization of the Control System for Electrolytic Copper Refining with Digital Twin During Dendritic Precipitation // Metallurgist. — 2023. — Vol. 67, no. 1/2. — P. 41–50. — DOI:https://doi.org/10.1007/s11015-023-01487-3.
28. Novozhilov V. V. Theory of elasticity. — Saint Petersburg : Politekhnika, 2012. — P. 409. — (In Russian).
29. Obiora D. N., Oha I. A., Ihedike A. O., et al. Comparative depth estimates and modeling of magnetic anomalies over the Nkalagu area, Southeastern Nigeria // Modeling Earth Systems and Environment. — 2021. — Vol. 8, no. 1. — P. 1291–1309. — DOI:https://doi.org/10.1007/s40808-021-01155-y.
30. Shammazov I. A., Batyrov A. M., Sidorkin D. I., et al. Study of the Effect of Cutting Frozen Soils on the Supports of Above-Ground Trunk Pipelines // Applied Sciences. — 2023. — Vol. 13, no. 5. — DOI:https://doi.org/10.3390/app13053139.
31. Shchipachev A. M., Alzhadli M. Magnetic-pulsed treatment to improve the strength properties of defective sections of oil and gas pipelines // Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering. — 2023. — Vol. 334, no. 5. — P. 7–16. — DOI:https://doi.org/10.18799/24131830/2023/5/4011. — (In Russian).
32. Shpenst V. A., Orel E. A. Improving the Reliability of DC-DC Power Supply by Reserving Feedback Signals // ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations. — 2021. — Vol. 64, no. 5. — P. 408–420. — DOI:https://doi.org/10.21122/1029-7448-2021-64-5-408-420. — (In Russian).
33. Takadze I., Takadze G. Sing the Ultrasonic Method to Detect Fatigue Cracks in Metal Structures // Air transport. — 2023. — Vol. 17, no. 1. — P. 70–77.
34. Tolstov A. E. Improving the methods for assessing the technical condition of sections of main pipelines containing metal delamination: PhD Thesis. — Moscow : Research Institute of Natural Gases, Gas Technologies - Gazprom VNIIGAZ, 2019. — P. 173. — EDN: https://elibrary.ru/RXWEPW ; (in Russian).
35. Vlasov V. T., Dubov A. A. Physical foundations of the method of magnetic memory of metal. — Moscow : Tisso, 2004. — P. 424. — EDN: https://elibrary.ru/QMZPVZ ; (in Russian).
36. Wang Y., Li P., Li J. The monitoring approaches and non-destructive testing technologies for sewer pipelines // Water Science and Technology. — 2022. — Vol. 85, no. 10. — P. 3107–3121. — DOI:https://doi.org/10.2166/wst.2022.120.
37. Xie F., Ji B.-H., Yuanzhonu Z., et al. Ultrasonic Detecting Method and Repair Technology Based on Fatigue Crack Features in Steel Box Girder // Journal of Performance of Constructed Facilities. — 2015. — Vol. 30, no. 2. — DOI:https://doi.org/10.1061/(asce)cf.1943-5509.0000725.
