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Mechanical Damage Detection With High-Resolution MFL Technology

机译:采用高分辨率MFL技术的机械损伤检测

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摘要

Considering all ILI runs where Baker Hughes PMG has made mechanical damage predictions — most of which fell outside the scope of this study — approximately 95% of all pipelines contained at least one mechanical damage prediction that would have otherwise not been predicted by stand-alone caliper or other ILI technologies. This indicates that there are a significant number of unreported mechanical damage anomalies remaining in pipeline systems. While this method of detecting mechanical damage is not the panacea that many may hope for, it has proven to be extremely effective in detecting potentially injurious defects that would otherwise go unreported. In this study alone, 289 such mechanical damage defects were identified and remediated. Much more work remains to be done on the subject of detection and assessment of mechanical damage. This study shows that high-resolution MFL data can yield valuable information if the proper analysis techniques are applied.
机译:考虑到Baker Hughes PMG做出的机械损伤预测的所有ILI运行(其中大多数不在本研究的范围之内),所有管道中大约95%至少包含一个机械损伤预测,否则独立卡尺无法预测或其他ILI技术。这表明管道系统中仍存在大量未报告的机械损坏异常。尽管这种检测机械损坏的方法并不是许多人希望的灵丹妙药,但是它已被证明在检测潜在的有害缺陷方面非常有效,否则这些缺陷将不会被报告。仅在这项研究中,就发现并修复了289种此类机械损伤缺陷。在机械损伤的检测和评估方面还有许多工作要做。这项研究表明,如果应用适当的分析技术,高分辨率的MFL数据可以产生有价值的信息。

著录项

  • 来源
    《Pipeline & gas journal》 |2005年第10期|p.5860-61|共3页
  • 作者

    Bill Putman;

  • 作者单位

    Baker Hughes Pipeline Management Group, Houston, TX;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 管道运输;煤炭气化工业;
  • 关键词

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