Safety evaluation of station settlement pipeline based on physical-information fusion

Cheng Xie; Tiefeng Shi; Yao Wang; Liwen Chen; Yinan Zhang; Shaohua Dong

doi:10.2991/978-94-6463-429-7_13

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Safety evaluation of station settlement pipeline based on physical-information fusion

Authors

Cheng Xie¹, Tiefeng Shi¹, Yao Wang¹, Liwen Chen²^{, 3}^{, 4}, Yinan Zhang²^{, 3}^{, 4}, Shaohua Dong²^{, 3}^{, 4}^{, *}

¹Southern China Branch of PipeChina, Guangdong, 510623, China

²College of Safety and Marine Engineering, China University of Petroleum (Beijing), Beijing, 102249, China

³Key Laboratory of Oil and Gas Safety and Emergency Technology, Ministry of Emergency Management, Beijing, 102249, China

⁴Pipeline Technology and Safety Research Center, China University of Petroleum (Beijing), Beijing, 102249, China

^*Corresponding author. Email: shdong@cup.edu.cn

Corresponding Author

Shaohua Dong

Available Online 7 June 2024.

DOI: 10.2991/978-94-6463-429-7_13 How to use a DOI?
Keywords: S-InSAR; oil and gas station; land subsidence monitoring; safety evaluation
Abstract: The foundation of the station built in the coastal area is often weak in lithology, and uneven settlement is easy to occur in the station. The safety risk system of station pipeline under uneven settlement involves many elements and complex components. Therefore, to evaluate the safety level of station pipeline under land subsidence, it is necessary to construct a complete, comprehensive, scientific and effective safety evaluation index system for station pipeline settlement. Combined with the formation mechanism of uneven ground settlement, PS-InSar technology is used to monitor the amount of ground settlement, and the influencing factors of station ground settlement and pipeline risk are identified and analyzed. The safety evaluation factor set of station pipeline settlement is determined, and the index system is established. By physical-information fusion, an evaluation model of station pipeline settlement safety level based on analytic hierarchy process and entropy weight method is proposed.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2024 7th International Conference on Structural Engineering and Industrial Architecture (ICSEIA 2024)
Series: Atlantis Highlights in Engineering
Publication Date: 7 June 2024
ISBN: 978-94-6463-429-7
ISSN: 2589-4943
DOI: 10.2991/978-94-6463-429-7_13 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Cheng Xie
AU  - Tiefeng Shi
AU  - Yao Wang
AU  - Liwen Chen
AU  - Yinan Zhang
AU  - Shaohua Dong
PY  - 2024
DA  - 2024/06/07
TI  - Safety evaluation of station settlement pipeline based on physical-information fusion
BT  - Proceedings of the 2024 7th International Conference on Structural Engineering and Industrial Architecture (ICSEIA 2024)
PB  - Atlantis Press
SP  - 102
EP  - 117
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-429-7_13
DO  - 10.2991/978-94-6463-429-7_13
ID  - Xie2024
ER  -

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