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基于双向贯穿扫描方法的海底管道稳定性诊断研究

莫子孟 任常斌 罗海 周世凯 刘晓晓

海南大学学报(自然科学版中英文)2026,Vol.44Issue(2):194-203,10.
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海南大学学报(自然科学版中英文)2026,Vol.44Issue(2):194-203,10.DOI:10.65658/j.hndk.2025070802

基于双向贯穿扫描方法的海底管道稳定性诊断研究

Research on stability diagnosis method of submarine pipeline based on bidirectional cross-sectional scanning

莫子孟 1任常斌 2罗海 2周世凯 3刘晓晓2

作者信息

  • 1. 国家能源集团乐东发电有限公司,海南 乐东 572500
  • 2. 浙江大学海南研究院,海南 三亚 572025||海洋环境监测与探测装备海南省工程研究中心,海南 三亚 572025
  • 3. 海南智汇享科技有限公司,海南 海口 570100
  • 折叠

摘要

Abstract

To address the limitation of traditional cross-sectional scanning methods for submarine pipelines,which only capture localized cross-sectional information and hard to detect continuous axial deformation features,this paper proposes a data fusion method based on acoustic sub-bottom profiling that integrates both cross-sectional and longitudinal scanning.By deploying survey lines both perpendicular and parallel to the pipeline axis,and utilizing a parametric sub-bottom profiler combined with a high-precision positioning system,this method enables the simultaneous extraction and comprehensive analysis of multiple parameters,including pipeline inclination,cross-sectional ellipticity,longitudinal elevation deviation,joint misalignment,and external environmental anomalies.Field tests conducted on a water pipeline in the South China Sea successfully identified five types of typical anomalies,including pipeline tilt,depressions,obstacles,and upheavals.The results verify the effectiveness and engineering applicability of the proposed method for diagnosing submarine pipeline stability,providing a reliable technical approach for continuous deformation monitoring and safety maintenance of long-distance submarine pipelines.

关键词

海底管道/浅地层扫描/双向贯穿/数据融合/稳定性诊断

Key words

submarine pipelines/sub-bottom profiling/two-way penetration/data fusion/stability diagnosis

分类

海洋科学

引用本文复制引用

莫子孟,任常斌,罗海,周世凯,刘晓晓..基于双向贯穿扫描方法的海底管道稳定性诊断研究[J].海南大学学报(自然科学版中英文),2026,44(2):194-203,10.

基金项目

本文得到以下基金项目支持:国家重点研发计划项目(2024YFC2814904)和海南省深海技术产业化专项(DSTIC-CYCJ-2024002). This work was supported by the following funding projects:National Key R&D Program of China(2024YFC2814904) (2024YFC2814904)

Hainan Provincial Deep-Sea Technology Industrialization Special Program(DSTIC-CYCJ-2024002). (DSTIC-CYCJ-2024002)

海南大学学报(自然科学版中英文)

1004-1729

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