Keming Wang and Wenbing JinThis email address is being protected from spambots. You need JavaScript enabled to view it.
School of Internet of things technology, Hangzhou Polytechnic, Hangzhou Zhejiang,311402, China
Received: May 18, 2023 Accepted: July 27, 2023 Publication Date: November 16, 2023
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
The submarine pipeline (SP) off the southwestern coast of Taiwan was surveyed using a high-resolution subbottom profiler (SBP), a magnetometer, and dual-frequency side-scan sonar (SSS). One pipeline carries water with a 0.2m dia, another carries crude oil at a 1m dia, and the other three carry industrial waste water at diameters of 1.5meters, 1.7meters, and 1.8meters. In this paper, we present how well the integrated surveying system works for finding, tracking, and pinpointing submerged, aboveground, and submarine pipes. Information on the pipeline’s path, its depth of burial, the make-up and structure of the sediments close to the surface, and any man-made features on or near the pipeline are all relevant to this study’s overarching objective. To better suit the requirements of ocean exploitation, acoustic detection technology development will be adapted and improved. This article provides a concise overview of the acoustic detection technologies used in a variety of mission-critical marine settings, such as geophysical surveys, submarine navigation, and submarine communication.
Keywords: Acoustic detection; Submarine pipelinesurvey; Side-scan sonar and sub-bottom profiler
[1] S. Kumar, T. Baalisampang, E. Arzaghi, V. Garaniya, R. Abbassi, and F. Salehi, (2022) “Synergy of green hydrogen sector with offshore industries: Opportunities and challenges for a safe and sustainable hydrogen economy" Journal of Cleaner Production: 135545. DOI: 10.1016/j.jclepro.2022.135545.
[2] Y. Zhang, H. Zhang, J. Liu, S. Zhang, Z. Liu, E. Lyu, and W. Chen, (2022) “Submarine pipeline tracking technology based on AUVs with forward looking sonar" Applied Ocean Research 122: 103128. DOI: 10.1016/j.apor.2022.103128.
[3] H. Zhang, S. Zhang, Y. Wang, Y. Liu, Y. Yang, T. Zhou, and H. Bian, (2021) “Subsea pipeline leak inspection by autonomous underwater vehicle" Applied Ocean Research 107: 102321. DOI: 10.1016/j.apor.2020.102321.
[4] Z. Shan, H. Wu, W. Ni, M. Sun, K. Wang, L. Zhao, Y. Lou, A. Liu, W. Xie, X. Zheng, et al., (2022) “Recent technological and methodological advances for the investigation of submarine landslides" Journal of Marine Science and Engineering 10(11): 1728. DOI: 10.3390/jmse10111728.
[5] N. Nadimi, R. Javidan, and K. Layeghi, (2021) “Efficient detection of underwater natural gas pipeline leak based on synthetic aperture sonar (SAS) systems" Journal of Marine Science and Engineering 9(11): 1273. DOI: 10.3390/jmse9111273.
[6] B. Gašparovi´c, J. Lerga, G. Mauša, and M. Ivaši´c-Kos, (2022) “Deep Learning Approach for Objects Detection in Underwater Pipeline Images" Applied Artificial Intelligence 36(1): 2146853. DOI: 10.1080/08839514.2022.2146853.
[7] H. Song, J. Song, and P. Ren, (2020) “Underwater pipeline oil spill detection based on structure of root and branch cells" Journal of Marine Science and Engineering 8(12): 1016. DOI: 10.3390/jmse8121016.
[8] Z. Liu, Y. Zhuang, P. Jia, C. Wu, H. Xu, and Z. Liu, (2022) “A novel underwater image enhancement algorithm and an improved underwater biological detection pipeline" Journal of Marine Science and Engineering 10(9): 1204. DOI: 10.3390/jmse10091204.
[9] M. A. Adegboye, A. Karnik, and W.-K. Fung, (2021) “Numerical study of pipeline leak detection for gas-liquid stratified flow" Journal of natural gas science and engineering 94: 104054. DOI: 10.1016/j.jngse.2021.104054.
[10] X. Hong, L. Huang, S. Gong, and G. Xiao, (2021) “Shedding damage detection of metal underwater pipeline external anticorrosive coating by ultrasonic imaging based on HOG+ SVM" Journal of Marine Science and Engineering 9(4): 364. DOI: 10.3390/jmse9040364.
[11] M. Pourahmadi and M. Saybani, (2022) “Reliability analysis with corrosion defects in submarine pipeline case study: Oil pipeline in Ab-khark island" Ocean Engineering 249: 110885. DOI: 10.1016/j.oceaneng.2022.110885.
[12] K. Sun, W. Cui, and C. Chen, (2021) “Review of underwater sensing technologies and applications" Sensors 21(23): 7849. DOI: 10.3390/s21237849.
[13] W. Chen, Z. Liu, H. Zhang, M. Chen, and Y. Zhang, (2021) “A submarine pipeline segmentation method for noisy forward-looking sonar images using global information and coarse segmentation" Applied Ocean research 112: 102691. DOI: 10.1016/j.apor.2021.102691.
[14] A. Inzartsev, G. Eliseenko, M. Panin, A. Pavin, V. Bobkov, and M. Morozov. “Underwater pipeline inspection method for AUV based on laser line recognition: Simulation results”. In: 2019 IEEE Underwater Technology (UT). IEEE. 2019, 1–8. DOI: 10.1109/UT.2019.8734387.
[15] J. Cai and P. Le Grognec, (2022) “Lateral buckling of submarine pipelines under high temperature and high pressure—A literature review" Ocean Engineering 244: 110254. DOI: 10.1016/j.oceaneng.2021.110254.
[16] V. H. Fernandes, J. C. de Oliveira, D. D. Rodrigues, A. A. Neto, and N. das Graças Medeiros, (2021) “Semi-automatic identification of free span in underwater pipeline from data acquired with AUV–Case study" Applied Ocean Research 115: 102842. DOI: 10.1016/j.apor.2021.102842.
[17] B. Liu, Z. Liu, S. Men, Y. Li, Z. Ding, J. He, and Z. Zhao, (2020) “Underwater hyperspectral imaging technology and its applications for detecting and mapping the seafloor: A review" Sensors 20(17): 4962. DOI: 10.3390/s20174962.
[18] L. Gao, H.-T. Gu, and L. Feng. “Research on Submarine Buried Oil and Gas Pipeline Autonomous Inspection System of USV”. In: ISOPE International Ocean and Polar Engineering Conference. ISOPE. 2019, ISOPE–I.
[19] M. Guan, Y. Cheng, Q. Li, C. Wang, X. Fang, and J. Yu, (2019) “An effective method for submarine buried pipeline detection via multi-sensor data fusion" IEEE Access 7: 125300–125309. DOI: 10.1109/ACCESS.2019.2938264.
[20] Y. Mahmutoglu and K. Turk, (2019) “Received signal strength difference based leakage localization for the underwater natural gas pipelines" Applied Acoustics 153: 14–19. DOI: 10.1016/j.apacoust.2019.04.006.
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