DIAGNOSTICS AND RENOVATION METHODS FOR STEEL PIPELINES

Main Article Content

Vladimir Orlov
Sergey Zotkin
Dmitry Podolyan

Abstract

The article explores the analytical challenges and potential applications of diagnostic equipment and tools for cost-effective restoration of aging pressure pipeline systems at minimum costs for water transportation. The study focuses on a section of a water supply network made of steel pipes that requires repair and restoration due to corrosion damage and wall thinning. The paper presents an analysis of effective non-destructive pipeline diagnostic methods, details the design and technical specifications of the domestic diagnostic system HeatScan. Provided are sample magnetograms that indicate defect zones and the absolute residual wall thickness at the defect locations. The benefits of the HeatScan system over the Inspector Systems flaw detector are also shown. To identify the most cost-effective pipeline repair method, three alternative technologies for inserting polymer pipes into the existing pipeline are considered, along with a calculation of the energy consumption for water transportation. It is noted that the most cost-efficient repair method could be the Swagelining technology, which involves pre-compressing the polymer pipe with the subsequent straightening. Information on the return-on-investment period for the diagnostic system when used in pipeline restoration projects is provided. 

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How to Cite
Orlov, V., Zotkin, S., & Podolyan, D. (2024). DIAGNOSTICS AND RENOVATION METHODS FOR STEEL PIPELINES. International Journal for Computational Civil and Structural Engineering, 20(3), 84-96. https://doi.org/10.22337/2587-9618-2024-20-3-84-96
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References

Primin O.G. Water Leaks Federal State Budgetary Educational Institution of Higher Education "Moscow State University of Civil Engineering (National Research University)", 2022. 167 p.

Zvirko O., Tsyrulnyk O., Nykyforchyn H. Non-destructive evaluation of the condition of operational pipeline steel, taking into account the stage of degradation. Procedia Structural Integrity. 2020; 26:219-224. DOI: 10.1016/j. prostr.2020.06.025.

Ryltseva Yu.A. Advanced methods and tools for diagnosing and repairing underwater pipeline crossings // Bulletin of MGSU. 2021. V. 16. Issue 9. Pp. 1236-1263. DOI: 10.22227/1997-0935.2021.9.1236-1263.

Bhadran V., Shukla A., Karki H. Non-contact flaw detection and condition monitoring of subsurface metallic pipelines using magnetometric method. Materials Today: Proceedings. 2020; 28:860-864. DOI: 10.1016/j.matpr.2019.12.313.

Chen L., Arzaghi E., Mahdi M., Garaniya V., Abbassi R. Condition monitoring of subsea pipelines considering stress observation and structural deterioration. Journal of Loss Prevention in the Process Industries. 2018; 51:178-185. DOI: 10.1016/j.jlp.2017.12.006

Davis P., Brockhurst J. Subsea pipeline infrastructure monitoring: A framework for technology review and selection. Ocean Engineering. 2015; 104:540-548. DOI: 10.1016/j.oceaneng.2015.04.025

Ivliev E.A. Detection, tracking, and inspection of underwater pipelines and cables using electromagnetic methods. Underwater Research and Robotics. 2009. Issue 2 (8). Pp. 22-33.

Yang Q., Sun M., He M., Yang Q. Evolution features of riverbeds near underwater crossing line pipes: An experimental study. Natural Gas Industry B. 2020. Vol. 7. Pp. 246-253. DOI: 10.1016/j.ngib.2019.10.006

Zezin V.G.; Lazukov V.A. Determination of continuous media flow rate using variable pressure drop method. Chelyabinsk: Publishing House of South Ural State University, 2007. 102 p.

Mogutin Yu.B., Guseva O.A., Veselova A.V., Vlasyev M.V. Coordinating underwater maintenance operation at offshore oil and gas deposits. Shipbuilding. 2017. Issue 3 (832). Pp. 25-31.

Verde C., Molina L., Carrera R. Practical Is-sues of Leaks Diagnosis in Pipelines. IFAC Procee-dings Volumes. 2011. Vol. 44. Issue 1. Pp. 12337-12342. DOI: 10.3182/20110828-6-IT-1002.01688

Mahmutoglu Y., Turk K. Positioning of leaka-ges in underwater natural gas pipelines for time-varying multipath environment. Ocean Engineering. 2020. Vol. 207. P. 107454. DOI: 10.1016/j.oceaneng.2020.107454

Lu H., Iseley T., Behbahani S., Fu L. Leakage detection techniques for oil and gas pipelines: State-of-the-art. Tunnelling and Underground Space Technology. 2020. Vol. 98. P. 103249. DOI: 10.1016/j. tust.2019.103249

Khallyev N.Kh. Overhaul of the linear section of trunk gas and oil pipelines: Study guide. Moscow: Max Press, 2011. 448 p.

Marinenko E.E. Gas supply: Study guide. Volgograd: Volgograd Institute of Civil Engineering and Architecture, 2008. 222 pages.

Pashilov M.V. Actions to ensure safe operation of the Varandey oil terminal's undersea pipeline // New Science: Current Status and Development Paths. 2015. Issue 5. Pp. 155-158.

Gaidukevich S.V., Nikonenko A.D., Shalagin V.N. Maintenance of Gazprom's pipeline river and sea crossings. State analysis and development proposals. Territoriya NEFTEGAZ. 2013. Issue 11. Pp. 86-91.

Valyshkov I.L. "Wavemaker" — a long-wave ultrasonic system for pipeline diagnostics and monitoring. Exposition Neft Gaz. 2015; 5(44):81-83. (rus.).

Kudryashov S.P., Gaidukevich S.V. Diagnostics of underwater crossings of Gazprom's trunk gas pipelines. Gas Industry. 2018. Issue 53 (778). Pp. 88-89.

Wang P., Chi C., Jiyuan L., Huang H. Improving performance of three-dimensional imaging sonars through deconvolution. Applied Acoustics. 2021. Vol. 175. P. 107812. DOI: 10.1016/j.apacoust. 2020.107812

Tang Z., Lu J., Wang Z., Ma G. Three di-mensional height information reconstruction based on mobile active sonar detection // Applied Acoustics. 2020. Vol. 169. Pp. 107459. DOI: 10.1016/j.apa-coust. 2020.107459

Joe H., Kim J., Yu S.-Ch. Sensor Fusion-based 3D Reconstruction by Two Sonar Devices for Seabed Mapping // IFAC-PapersOnLine. 2019. Vol. 52. Issue 21. Pp. 169-174. DOI: 10.1016/j.ifacol.2019.12.302

Titova Yu.S., Miroshnichenko T.A., Tailenkunova A.S., Kudreshov N.N. Diagnostics of the condition of trunk gas pipelines crossing water barriers. Bulletin of scientific conferences. 2019. Issue 4-2 (44). Pp. 110-115

Zakharov M.N., Martynov D.S. Determining the maximum displacements of a metal collapsible pipeline from its initial position. Proceedings of Higher Educational Institutions. Oil and Gas Studies. 2022;(1):67-80. https://doi.org/10.31660/0445-0108-2022-1-67-80

Bussugu U.D. Problems of creating underwater systems for monitoring the condition of marine pipelines. Bulletin of Science and Education. 2019; 2-2(56):93-100

Yurieva R.A., Vedernikova K.A., Andreev Yu.S. Project design and process solutions. Project design and process solutions in the development of robotic systems for pipeline condition monitoring. Cybernetics and Programming. 2016. Issue 6. P. 56. DOI 10.7256/2306-4196.2016.6/20982. URL: http:nbpublish.com/library read_article.php?id=20982

Khramenkov S.V., Primin O.G., Orlov V.A. Pipeline systems restoration. -Moscow: ASV Publishing, 2008, 215 pages.

Orlov V.A. Trenchless technologies and energy conservation. -Moscow: ASV Publishing, 2021, 95 p.

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