IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p2783-d1056802.html
   My bibliography  Save this article

A Comprehensive Analysis of In-Line Inspection Tools and Technologies for Steel Oil and Gas Pipelines

Author

Listed:
  • Berke Ogulcan Parlak

    (Department of Mechatronics Engineering, Yildiz Technical University, Istanbul 34349, Turkey)

  • Huseyin Ayhan Yavasoglu

    (Department of Mechatronics Engineering, Yildiz Technical University, Istanbul 34349, Turkey)

Abstract

The transportation of oil and gas through pipelines is an integral aspect of the global energy infrastructure. It is crucial to ensure the safety and integrity of these pipelines, and one way to do so is by utilizing an inspection tool called a smart pig. This paper reviews various smart pigs used in steel oil and gas pipelines and classifies them according to pipeline structure, anomaly-detection capability, working principles, and application areas. The advantages and limitations of each sensor technology that can be used with the smart pig for in-line inspection (ILI) are discussed. In this context, ultrasonic testing (UT), electromagnetic acoustic transducer (EMAT), eddy current (EC), magnetic flux leakage (MFL), and mechanical contact (MC) sensors are investigated. This paper also provides a comprehensive analysis of the development chronology of these sensors in the literature. Additionally, combinations of relevant sensor technologies are compared for their accuracy in sizing anomaly depth, length, and width. In addition to their importance in maintaining the safety and reliability of pipelines, the use of ILI can also have environmental benefits. This study aims to further our understanding of the relationship between ILI and the environment.

Suggested Citation

  • Berke Ogulcan Parlak & Huseyin Ayhan Yavasoglu, 2023. "A Comprehensive Analysis of In-Line Inspection Tools and Technologies for Steel Oil and Gas Pipelines," Sustainability, MDPI, vol. 15(3), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2783-:d:1056802
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/2783/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/3/2783/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Shengli & Liang, Yongtu, 2021. "Statistics of catastrophic hazardous liquid pipeline accidents," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    2. Siler-Evans, Kyle & Hanson, Alex & Sunday, Cecily & Leonard, Nathan & Tumminello, Michele, 2014. "Analysis of pipeline accidents in the United States from 1968 to 2009," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(4), pages 257-269.
    3. Ana Cruz & Elisabeth Krausmann, 2013. "Vulnerability of the oil and gas sector to climate change and extreme weather events," Climatic Change, Springer, vol. 121(1), pages 41-53, November.
    4. Christophe, Alexandra & Le Bihan, Yann & Rapetti, Francesca, 2015. "A mortar element approach on overlapping non-nested grids: Application to eddy current non-destructive testing," Applied Mathematics and Computation, Elsevier, vol. 267(C), pages 71-82.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Talha Ahmed & Yasir Mahmood & Nita Yodo & Ying Huang, 2024. "Weather-Related Combined Effect on Failure Propagation and Maintenance Procedures towards Sustainable Gas Pipeline Infrastructure," Sustainability, MDPI, vol. 16(13), pages 1-31, July.
    2. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
    3. Riza Demirer & Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2020. "Effect of Rare Disaster Risks on Crude Oil: Evidence from El Nino from Over 140 Years of Data," Working Papers 2020104, University of Pretoria, Department of Economics.
    4. Misuri, Alessio & Ricci, Federica & Sorichetti, Riccardo & Cozzani, Valerio, 2023. "The Effect of Safety Barrier Degradation on the Severity of Primary Natech Scenarios," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    5. Shengli, Liu & Yongtu, Liang, 2019. "Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory," International Journal of Critical Infrastructure Protection, Elsevier, vol. 26(C).
    6. Gaogeng Zhu & Guoming Chen & Jingyu Zhu & Xiangkun Meng & Xinhong Li, 2022. "Modeling the Evolution of Major Storm-Disaster-Induced Accidents in the Offshore Oil and Gas Industry," IJERPH, MDPI, vol. 19(12), pages 1-27, June.
    7. Wang, Chang & Zheng, Jianqin & Liang, Yongtu & Wang, Bohong & Klemeš, Jiří Jaromír & Zhu, Zhu & Liao, Qi, 2022. "Deeppipe: An intelligent monitoring framework for operating condition of multi-product pipelines," Energy, Elsevier, vol. 261(PB).
    8. Nicholas Santella, 2023. "Climate related trends in US hazardous material releases caused by natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(1), pages 735-756, January.
    9. Liu, Shengli & Liang, Yongtu, 2021. "Statistics of catastrophic hazardous liquid pipeline accidents," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    10. Mendoza-Lugo, Miguel Angel & Morales-Nápoles, Oswaldo, 2024. "Mapping hazardous locations on a road network due to extreme gross vehicle weights," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    11. Bernier, Carl & Gidaris, Ioannis & Balomenos, Georgios P. & Padgett, Jamie E., 2019. "Assessing the accessibility of petrochemical facilities during storm surge events," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 155-167.
    12. Li Jingjing & Tang Ling & Li Ling, 2020. "The Co-Movements Between Crude Oil Price and Internet Concerns: Causality Analysis in the Frequency Domain," Journal of Systems Science and Information, De Gruyter, vol. 8(3), pages 224-239, June.
    13. Shen, Y. & Zhou, W., 2024. "A comparison of onshore oil and gas transmission pipeline incident statistics in Canada and the United States," International Journal of Critical Infrastructure Protection, Elsevier, vol. 45(C).
    14. Beheshtian, Arash & Donaghy, Kieran P. & Richard Geddes, R. & Oliver Gao, H., 2018. "Climate-adaptive planning for the long-term resilience of transportation energy infrastructure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 99-122.
    15. Bernier, Carl & Padgett, Jamie E., 2019. "Fragility and risk assessment of aboveground storage tanks subjected to concurrent surge, wave, and wind loads," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    16. Zhang, Yongji & Liu, Lingxi & Lan, Minghui & Su, Zhi & Wang, Ke, 2024. "Climate change and economic policy uncertainty: Evidence from major countries around the world," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1045-1060.
    17. Richard A. Schultz & Douglas W. Hubbard & David J. Evans & Sam L. Savage, 2020. "Characterization of Historical Methane Occurrence Frequencies from U.S. Underground Natural Gas Storage Facilities with Implications for Risk Management, Operations, and Regulatory Policy," Risk Analysis, John Wiley & Sons, vol. 40(3), pages 588-607, March.
    18. Jihong Ye & Yiyang Fang & Xinxiang Yang, 2022. "Vulnerability Analysis of Harbor Oil Pipeline Affected by Typhoon," Energies, MDPI, vol. 15(18), pages 1-17, September.
    19. Antonis Skouloudis & Thomas Tsalis & Ioannis Nikolaou & Konstantinos Evangelinos & Walter Leal Filho, 2020. "Small & Medium-Sized Enterprises, Organizational Resilience Capacity and Flash Floods: Insights from a Literature Review," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    20. Zhang, Jiahao & Zhang, Yifeng & Wei, Yu & Wang, Zhuo, 2024. "Normal and extreme impact and connectedness between fossil energy futures markets and uncertainties: Does El Niño-Southern Oscillation matter?," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 188-215.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2783-:d:1056802. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.