An automated sidescan sonar pipeline inspection system

被引:0
|
作者
Gauer, RC [1 ]
McFadzean, A [1 ]
Reid, C [1 ]
机构
[1] Coda Technol Inc, Houston, TX 77042 USA
关键词
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The application of new developments in sonar signal processing and advances in computing power have resulted in the development of an automated sidescan sonar pipeline inspection system for surveying existing marine pipelines. Pipeline localization and tracking is controlled by a computer model that provides a graphic, real-time display of the pipeline height relative to the seabed and a visual representation of the incident sonar beam. This paper describes the computer algorithm used for automatically measuring pipeline span heights and addresses one method for compensating distortions found with the sidescan sonar beam width and tracking angle during typical survey operations. Analysis parameters input to the sonar system control the type and frequency of features automatically generated during survey operations. Limitations of the automated analysis to calculate measurements of span height and extent of pipeline burial are discussed when in-situ conditions deviate from the input analysis model. Automatic survey operations using Remotely Operated Towed Vehicles (ROTV's) are discussed using illustrative case histories in which ROTV position and steering controls are guided by the automated system using sonar incident reflections from the pipeline and seabed. The major benefits derived from using an automated sidescan sonar pipeline inspection system include better data quality, improved survey efficiency, and an overall reduction in operating costs.
引用
收藏
页码:811 / 816
页数:2
相关论文
共 50 条
  • [21] DIFFERENTIAL PHASE ESTIMATION WITH THE SEAMARC-II BATHYMETRIC SIDESCAN SONAR SYSTEM
    MASNADISHIRAZI, MA
    DEMOUSTIER, C
    CERVENKA, P
    ZISK, SH
    IEEE JOURNAL OF OCEANIC ENGINEERING, 1992, 17 (03) : 239 - 251
  • [22] Evaluation of a Canonical Image Representation for Sidescan Sonar
    Xu, Weiqi
    Ling, Li
    Xie, Yiping
    Zhang, Jun
    Folkesson, John
    OCEANS 2023 - LIMERICK, 2023,
  • [23] Sidescan sonar: a directional filter of seabed texture?
    Bell, JM
    Chantler, MJ
    Wittig, T
    IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION, 1999, 146 (01) : 65 - 72
  • [24] SIDESCAN SONAR IMAGE-PROCESSING TECHNIQUES
    CERVENKA, P
    DEMOUSTIER, C
    IEEE JOURNAL OF OCEANIC ENGINEERING, 1993, 18 (02) : 108 - 122
  • [25] Bayesian approach to object detection in sidescan sonar
    Calder, BR
    Linnett, LM
    Carmichael, DR
    IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 1998, 145 (03): : 221 - 228
  • [26] Sidescan sonar image processing for AUV navigation
    Zert, B
    Mailfert, G
    Bertholom, A
    Ayreault, H
    Oceans 2005 - Europe, Vols 1 and 2, 2005, : 124 - 130
  • [27] Simulation and analysis of synthetic sidescan sonar images
    Bell, JM
    Linnett, LM
    IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION, 1997, 144 (04) : 219 - 226
  • [28] Geocoding sidescan sonar data - An inverse problem
    Fawcett, JA
    OCEANS 2000 MTS/IEEE - WHERE MARINE SCIENCE AND TECHNOLOGY MEET, VOLS 1-3, CONFERENCE PROCEEDINGS, 2000, : 11 - 15
  • [29] Concurrent mapping and localization using sidescan sonar
    Ruiz, IT
    de Raucourt, S
    Petillot, Y
    Lane, DM
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2004, 29 (02) : 442 - 456
  • [30] Towards Differentiable Rendering for Sidescan Sonar Imagery
    Xie, Yiping
    Bore, Nils
    Folkesson, John
    2022 IEEE/OES AUTONOMOUS UNDERWATER VEHICLES SYMPOSIUM (AUV), 2022,