Advanced Non-Destructive Testing Techniques For Pipeline Integrity Assessment

Ekunke Godwin Odor, Moyinoluwa Solomon Adekeye, Ikechukwu Bismarck Owunna, Nosa Godwin Agbonze, Muhammad Bolakale Salman, Adam Olaoluwa Salman

Abstract

The paper reviews advanced non-destructive testing techniques of pipeline integrity assessment mainly applied for defect detection, such as corrosion, cracks, and mechanical damage, with no disturbance to the pipeline operational services. Accordingly, the essential NDT methods reviewed will be classified as ultrasonic testing, electromagnetic inspection, radiographic testing, acoustic emission testing, and intelligent pigging. Each technique's detection accuracy, cost-effectiveness, and field applicability have been reviewed and judged. Among various comparisons done here, one points out strengths and weaknesses. At the same time, it indicates the rise of artificial intelligence for predictive maintenance, coupled with a completely different generation of IoT sensors that allow real-time monitoring. However, knowledge gaps still exist regarding standardisation, real-world validation of new technologies, and cost-efficient solutions for the complex geometries of pipelines. Finally, it concludes with recommendations for improving pipeline safety, operational reliability, and efficiency in maturing energy infrastructures.




Keywords


Non-Destructive Testing; Pipeline Integrity; Predictive Maintenance; Evaluation Techniques; Real-Time Monitoring

Full Text:

PDF


References


1. Vishnuvardhan, S., Murthy, A. R., & Choudhary, A. (2022). A review of pipeline failures, defects in pipelines and their assessment and fatigue life prediction methods. International Journal of Pressure Vessels and Piping, 201, 104853. doi: 10.1016/j.ijpvp.2022.104853

2. Hassani, S., & Dackermann, U. (2023). A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring. Sensors, 23(4), 2204. doi: 10.3390/s23042204

3. Patel, R. (2022). A review on Non-Destructive Testing (NDT) Techniques: Advances, Researches and Applicability. International Journal of Current Science Research and Review, 05(04). doi: 10.47191/ijcsrr/v5-i4-59

4. Ho, M., El-Borgi, S., Patil, D., & Song, G. (2019). Inspection and monitoring systems subsea pipelines: A review paper. Structural Health Monitoring, 19(2), 606–645. doi: 10.1177/1475921719837718

5. Wang, B., Zhong, S., Lee, T., Fancey, K. S., & Mi, J. (2020). Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review. Advances in Mechanical Engineering, 12(4), 168781402091376. doi: 10.1177/1687814020913761

6. Tian, Y., Palaev, A. G., Shammazov, I. A., & Ren, Y. (2024). Non-destructive testing technology for corrosion wall thickness reduction defects in pipelines based on electromagnetic ultrasound. Frontiers in Earth Science, 12. doi: 10.3389/feart.2024.1432043

7. Lyu, F., Zhou, X., Ding, Z., Qiao, X., & Song, D. (2024). Application Research of Ultrasonic-Guided Wave Technology in Pipeline Corrosion Defect Detection: A review. Coatings, 14(3), 358. doi: 10.3390/coatings14030358

8. Inbavalli, A., Shanmugasundaram, B., & Chozhavendan, S. (2023). Non-Invasive Submerged Pipeline Inspection Through Advanced Image Analysis and Deep Learning Algorithms for Quantitative Deterioration Assessment. 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), 15, 193–198. doi: 10.1109/icpcsn58827.2023.00037

9. Zang, X., Xu, Z., Lu, H., Zhu, C., & Zhang, Z. (2023). Ultrasonic guided wave techniques and applications in pipeline defect detection: A review. International Journal of Pressure Vessels and Piping, 206, 105033. doi: 10.1016/j.ijpvp.2023.105033

10. Sarwar, U., Mokhtar, A. A., Muhammad, M., Wassan, R. K., Soomro, A. A., Wassan, M. A., & Kaka, S. (2024). Enhancing pipeline integrity: a comprehensive review of deep learning-enabled finite element analysis for stress corrosion cracking prediction. Engineering Applications of Computational Fluid Mechanics, 18(1). doi: 10.1080/19942060.2024.2302906

11. Bolzon, G. (2022). Automated non-destructive integrity assessment of metal structures. Procedia Structural Integrity, 41, 9–13. doi: 10.1016/j.prostr.2022.05.003

12. Bolzon, G. (2020). Non-destructive mechanical testing of pipelines. In Lecture notes in civil engineering (pp. 3–14). doi: 10.1007/978-3-030-58073-5_1

13. Ma, Q., Tian, G., Zeng, Y., Li, R., Song, H., Wang, Z., Gao, B., & Zeng, K. (2021). Pipeline In-Line Inspection Method, Instrumentation and Data Management. Sensors, 21(11), 3862. doi: 10.3390/s21113862

14. Ma, Q. P., Tian, G. Y., Gao, B., Bajic, D., Culafic, S., Liu, J., Wu, T., Zeng, K., Liu, Z., Liu, Q., Yang, C., & Liu, D. (2020). Comparison of pipeline welds and integrity through different electromagnetic NDT techniques. Conference: 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 1-6)

15. Razvarz, S., Jafari, R., & Gegov, A. (2020). A review of different pipeline defect detection techniques. Studies in Systems, Decision and Control, 25–57. doi: 10.1007/978-3-030-59246-2_2

16. Gupta, M., Khan, M. A., Butola, R., & Singari, R. M. (2021). Advances in applications of Non-Destructive Testing (NDT): A review. Advances in Materials and Processing Technologies, 8(2), 2286–2307. doi: 10.1080/2374068x.2021.1909332

17. He, Y., Li, M., Meng, Z., Chen, S., Huang, S., Hu, Y., & Zou, X. (2020). An overview of acoustic emission inspection and monitoring technology in the key components of renewable energy systems. Mechanical Systems and Signal Processing, 148, 107146. doi: 10.1016/j.ymssp.2020.107146

18. Guan, L., Cong, X., Zhang, Q., Liu, F., Gao, Y., An, W., & Noureldin, A. (2020). A Comprehensive Review of Micro-Inertial Measurement Unit-Based Intelligent PIG Multi-Sensor Fusion Technologies for Small-Diameter Pipeline surveying. Micromachines, 11(9), 840. doi: 10.3390/mi11090840

19. Le, M., Luong, V. S., Nguyen, K. D., & Lee, J. (2021). Electromagnetic testing of corrosion at rivet sites via principal component analysis. Journal of Non-destructive Evaluation, 40(2). doi: 10.1007/s10921-021-00768-8

20. Taskin, M., Elazig, U. C., & Turkmen, M. (2011). X-ray tests of AISI 430 and 304 Stainless Steels and AISI 1010 Low Carbon Steel Welded by CO2 Laser beam welding. Materials Testing, 53(11–12), 741–747. doi: 10.3139/120.110283

21. Ramirez-Martinez, A., Rodríguez-Olivares, N. A., Torres-Torres, S., Ronquillo-Lomelí, G., & Soto-Cajiga, J. A. (2019). Design and validation of an articulated sensor carrier to improve the automatic pipeline inspection. Sensors, 19(6), 1394. doi: 10.3390/s19061394

22. Chen, P., Li, R., Jia, G., Lan, H., Fu, K., & 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(4), 1751. doi: 10.3390/en16041751

23. Wright, R. F., Lu, P., Devkota, J., Lu, F., Ziomek-Moroz, M., & Ohodnicki, P. R. (2019). Corrosion Sensors for Structural Health Monitoring of Oil and Natural Gas Infrastructure: A review. Sensors, 19(18), 3964. doi: 10.3390/s19183964


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Refbacks

  • There are currently no refbacks.




Copyright (c) 2024 Ekunke Godwin Odor, Moyinoluwa Solomon Adekeye, Ikechukwu Bismarck Owunna, Nosa Godwin Agbonze, Muhammad Bolakale Salman, Adam Olaoluwa Salman

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.