Development of a Method for Assessing Bending Stresses in the Walls of Above-Ground Main Pipelines Based on Airborne Laser Scanning Data
Source abstract
Abstract
During the operation of above-ground main oil and gas pipelines, their elastic bends occur due to the properties of the soils in which the pipeline bases are installed, climatic factors, and the intersection of geodynamic zones. Exceeding the stress values in the pipeline wall above their permissible values leads to a rupture of the wall metal and major accidents. Most methods for estimating the values of bending stresses in the pipeline wall cannot be implemented during their operation, when the pipeline already has a bend, and the installation of any additional equipment on the pipeline requires additional investments. At the same time, the most widely used method for estimating bending stresses based on data from in-pipe diagnostics does not allow for evaluation in areas with varying internal diameters of the pipeline, as well as right-angle turns. The most promising method for estimating bending stresses is aerial laser scanning of pipelines, which consists of obtaining a cloud of points on the pipeline surface, estimating its spatial position, and calculating stress values. However, this method requires the development of more accurate algorithms for processing laser scanning data, and the method is associated with a number of difficulties that can be eliminated by developing the correct sequence of actions during scanning. Within the framework of this article, an algorithm has been developed for analyzing the coordinates of a cloud of points on the pipeline surface, which makes it possible to estimate the values of bending stresses in the pipeline wall. The influence of the unevenness of the thermal insulation surface on the stress assessment results was also studied, taking into account the minimum angle of the scanned pipeline sector, which ensures the accuracy of determining stress values up to 5% using the developed method.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Material Properties and Failure Mechanisms · Engineering Diagnostics and Reliability · Industrial Engineering and Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Transport and Storage of Oil and Gas, Saint Petersburg Mining University, 199106 Saint Petersburg, Russia
References (57)
Show source-provided references
1. Tutko, R., and Lozynskyi, V. (2025). Oscillations of the Oil Pipeline Axis with Consideration of the Inertia Component When Pumping Diesel Fuel. Energies, 18.10.3390/en18102472 ↗
2. Influence of ecological conditions on risk of injuries and occupational illness in Russia’s Arctic Zone
3. Numerical study on erosion wear and strength of main gas pipelines bends10.2478/scjme-2021-0003 ↗
4. Galevskiy, S., Ponomarenko, T., and Tsiglianu, P. (2025). The Impact of Self-Sufficiency in Basic Raw Materials of Metallurgical Companies on Required Return and Capitalization: The Case of Russia. J. Risk Financ. Manag., 18.10.3390/jrfm18060318 ↗
5. Liu, J., Zhang, W., Gu, T., Liu, J., Peng, J., and Dou, Y. (2025). Mechanical Analysis of Lined Pipe System Under Temperature–Pressure Coupling in Elastic Laying. Processes, 13.10.3390/pr13030691 ↗
6. El-Mageed, A.I.A.A., Desouky, M.M., El-Sayed, M., Salem, T., Radwan, A.B., Hassan, M.K., Al-Oufy, A.K., and El-Dessouky, H.M. (2024). Carbon Fiber-Reinforced Thermoplastic Composite Coatings for Steel Pipelines. Polymers, 16.10.3390/polym16233417 ↗
7. Al-Suhaibani, Z., Danish, S.N., Al-Khalaf, Z.S., and Salim, B. (2023). Improved Prediction Model and Utilization of Pump as Turbine for Excess Power Saving from Large Pumping System in Saudi Arabia. Sustainability, 15.10.3390/su15021014 ↗
8. Aleksandrova, T.N., Kuznetsov, V.V., and Prokhorova, E.O. (2025). Investigation of Interfacial Characteristics as a Key Aspect of the Justification of the Reagent Regime for Coal Flotation. Minerals, 15.10.3390/min15010076 ↗
9. Assessment of the role of the state in the management of mineral resources
10. Dutkiewicz, M., Dalyak, T., Shatskyi, I., Venhrynyuk, T., and Velychkovych, A. (2021). Stress Analysis in Damaged Pipeline with Composite Coating. Appl. Sci., 11.10.3390/app112210676 ↗
11. Barriers to implementation of hydrogen initiatives in the context of global energy sustainable development10.31897/pmi.2020.4.5 ↗
12. Simulation of organic solids formation process in high-wax formation oil
13. Potential trace element markers of naphthogenesis processes: Modeling and experimentation
14. A novel percussion-based approach for pipeline leakage detection with improved MobileNetV210.1016/j.engappai.2024.108537 ↗
15. Compensation of temperature deformations of gas pipelines10.5829/ije.2025.38.07a.20 ↗
16. Advancements and future outlook of safety monitoring, inspection and assessment technologies for oil and gas pipeline networks10.1016/j.jpse.2025.100267 ↗
17. Nikolaev, A., Zhukov, A., Goluntsov, A., and Shirmaher, E. (2025). Evaluation of the Effectiveness of Anti-Turbulence Additives in the Transportation of High-Viscosity Oil at Low Ambient Temperatures. Processes, 13.10.3390/pr13051434 ↗
18. Experimental investigation of ductile iron pipeline joints rehabilitated with corrosion-protection linings under combined bending and internal pressure10.1016/j.engstruct.2025.121234 ↗
19. Justification of the line of action for reclamation of lands disturbed by opencast mining10.1051/e3sconf/202126608005 ↗
20. Effect of soil body structure of mixed-type tunnel face on shape and size of subsidence trough on ground surface
21. Stress prediction model of oil and gas pipeline based on magnetic-force coupling and machine learning10.1016/j.measurement.2025.117818 ↗
22. Stress-strain assessment of dents in wall of high pressure gas pipeline10.1016/j.prostr.2017.07.180 ↗
23. Risk analysis of domino effect of leakage accident of petrochemical pipeline based on analytic hierarchy process and fuzzy fault tree analysis10.1016/j.ssci.2025.106852 ↗
24. Research on leakage control of river oil and gas pipelines based on accident situation evolution model10.1016/j.jlp.2025.105615 ↗
25. Grigorev, E., and Nosov, V. (2022). Improving quality control methods to test strengthening technologies: A multilevel model of acoustic pulse flow. Appl. Sci., 12.10.3390/app12094549 ↗
26. Ma, Q., Liang, W., and Zhou, P. (2025). A review on pipeline in-line inspection technologies. Sensors, 25.10.3390/s25154873 ↗
27. Ma, Q., Tian, G., Zeng, Y., Li, R., Song, H., Wang, Z., and Zeng, K. (2021). Pipeline in-line inspection method, instrumentation and data management. Sensors, 21.10.3390/s21113862 ↗
28. Analysis of Nucleation Time of Gas Hydrates in Presence of Paraffin During Mechanized Oil Production
29. Parlak, B.O., and Yavasoglu, H.A. (2023). A Comprehensive Analysis of In-Line Inspection Tools and Technologies for Steel Oil and Gas Pipelines. Sustainability, 15.10.3390/su15032783 ↗
30. Research of efficiency of influence of ultrasonic treatment on asphalt and paraffin oil deposits10.1088/1757-899X/862/3/032081 ↗
31. Application of Ansys/Fluent software package for analysis of thermohydraulic processes in the low-temperature main pipeline for liquified hydrocarbon10.1088/1742-6596/1384/1/012070 ↗
32. Methods of regulation air temperature in the Russian oil mains
33. Freddi, F., Mingazzi, L., Pozzi, E., and Aresi, N. (2023). Laboratory assessment of an in-place inclinometer chain for structural and geotechnical monitoring. Sensors, 23.10.3390/s23208379 ↗
34. Distributed fibre optic inclinometer with cloud-based monitoring system
35. Monitoring of pipelines subjected to interactive bending and dent using distributed fiber optic sensors10.1016/j.autcon.2024.105306 ↗
36. Analysis of Efficiency of Communication Channels for Monitoring and Operational Control of Oil and Gas Wells Drilling Process10.5829/ije.2025.38.01a.12 ↗
37. Modeling of Dust Content Control System for Industrial Enterprises in the Mineral Resource Sector
38. Strain measurement on pipelines for long-term monitoring of structural integrity10.1016/j.measurement.2020.107863 ↗
39. Chen, P., Li, R., Jia, G., Lan, H., Fu, K., and Liu, X. (2023). A decade review of the art of inspection and monitoring technologies for long-distance oil and gas pipelines in permafrost areas. Energies, 16.10.3390/en16041751 ↗
40. A critical review on optimization parameters and techniques for gas pipeline operation profitability10.1007/s13202-022-01490-5 ↗
41. Method for ensuring geomechanical safety during undermining of water-protective strata
42. Sepulveda-Valdez, C., Sergiyenko, O., Tyrsa, V., Mercorelli, P., Rodríguez-Quiñonez, J.C., Flores-Fuentes, W., and Murrieta-Rico, F.N. (2024). Mathematical modeling for robot 3d laser scanning in complete darkness environments to advance pipeline inspection. Mathematics, 12.10.3390/math12131940 ↗
43. The Combined Use of Terrestrial Laser Scanner and Handheld 3D Scanner for 3D Modeling of Piping Instrumentation at Oil and Gas Company10.5614/j.eng.technol.sci.2022.54.6.3 ↗
44. Fraser, J.S., and Allard, P.H. (2023). Impact of 3D Laser Data Resolution and Accuracy on Pipeline Dents Strain Analysis. Mater. Eval., Available online: https://source.asnt.org/impact-of-3d-laser-data-resolution-and-accuracy-on-pipeline-dents-strain-analysis.
45. Technical concepts of automotive LiDAR sensors: A review
46. Baborykin, M.Y. (2017). Device for Determining the Planned-Altitude Position of a Pipeline. (2017108820), Patent of the Russian Federation.
47. Skorobogatov, A.A., Pshenin, V.V., and Duchnevich, L.D. (2025). Review of Multiphase Oil-Water Flow Characteristics in Horizontal and Inclined Pipelines. SOCAR Proc., 81–98. Available online: https://proceedings.socar.az/en/journal/115.
48. 3D laser scanning and DIC in structural testing: State-of-the-art, best practice and effective use10.1016/j.engstruct.2025.121055 ↗
49. Lin, W., Li, P., and Xie, X. (2022). A Novel Detection and Assessment Method for Operational Defects of Pipe Jacking Tunnel Based on 3D Longitudinal Deformation Curve: A Case Study. Sensors, 22.10.3390/s22197648 ↗
50. Nonlinear buckling behavior and stress and strain analyses of atmospheric storage tank aided by laser scan dimensional inspection technique10.1007/s40430-022-03752-z ↗
51. 3D laser point cloud-based geometric digital twin for condition assessment of large diameter pipelines10.1016/j.tust.2023.105430 ↗
52. Method for detecting pipeline spatial attitude using point cloud alignment10.1016/j.measurement.2023.113279 ↗
53. Pshenin, V., Sleptsov, A., and Dukhnevich, L. (2025). Prospects of Improving the Vibroacoustic Method for Locating Buried Non-Metallic Pipelines. Eng, 6.10.3390/eng6060121 ↗
54. Shammazov, I., Dzhemilev, E., and Sidorkin, D. (2023). Improving the Method of Replacing the Defective Sections of Main Oil and Gas Pipelines Using Laser Scanning Data. Appl. Sci., 13.10.3390/app13010048 ↗
55. Sidorkin, D.I., Shammazov, I.A., Dzhemilev, E.R., and Pshenin, V.V. (2023). Method of Repair of Defective Sections of Main Pipelines. (2791795), Patent of the Russian Federation.
56. Timoshenko, S. (1950). Strength of Materials: Part I, D. Van Nostrand Company. [3rd ed.].
57. Bi, S., Yuan, C., Liu, C., Cheng, J., Wang, W., and Cai, Y. (2021). A Survey of Low-Cost 3D Laser Scanning Technology. Appl. Sci., 11.10.3390/app11093938 ↗