管理屋顶:基于在线检查的方法

Brett Conrad, Gerhard Kopp, Ross Adamson, Tommy Mikalson, R. Lai
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引用次数: 0

摘要

纵向焊缝几何形状的变化会给液体作业人员的裂缝管理程序带来挑战。径向错位和角度错位(也称为“峰值”或“屋顶”)都会导致所谓的“异常”焊缝几何形状。这些异常的几何形状给作业公司的裂缝管理程序带来了两个挑战:由于应力集中的增加,它们可能会降低焊缝的疲劳寿命;它们创造了一个意想不到的几何形状,挑战了裂纹在线检测工具。这些挑战的结合可能会导致焊缝缺陷以更高的速度传播,而在线检测技术却无法检测到,从而增加了失效的风险。因此,对于作业者来说,谨慎的做法是了解哪里可能存在异常的焊缝几何形状,并相应地调整裂缝管理计划。本文概述了TC Energy利用现有数据集来量化异常焊缝几何形状的方法,更具体地说,是在事故发生后对管道进行顶盖。研究了几种不同的在线检测技术,以量化屋顶的存在,并取得了不同程度的成功。超声壁厚测量技术的传感器分离数据是最有前途的方法之一。该技术最初是通过一个校准线轴进行的,其中人为地引入了屋顶。通过TC Energy和NDT Global的合作,开发了一种算法,不仅可以检测管道内的屋顶,还可以确定其大小。挖掘程序的结果发现,该技术可以充分检测屋顶。屋顶的绝对尺寸是未来改进的重点领域;然而,检测顶板的能力可以更好地了解管道系统,并增加了另一个层面的数据集成,TC能源公司已经用它来改进他们的液体裂缝管理程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Managing Rooftopping: An In-Line Inspection Based Approach
Variation in longitudinal seam weld geometries can pose a challenge for liquid operator’s crack management programs. Both, radial misalignment and angular misalignment (also known as “peaking” or “rooftopping”) contribute to what is termed an “anomalous” seam weld geometry. These anomalous geometries create two challenges for an operator’s crack management program: they can reduce the fatigue life of the seam weld due to an increased stress concentration; and they create an unexpected geometry which challenges crack in-line inspection tools. The combination of these challenges can create a situation where a seam weld flaw can propagate at a higher rate without being detected by in-line inspection technologies, increasing the risk of failure. It is therefore prudent for operators to understand where they may have anomalous seam weld geometries and adjust their crack management plan accordingly. This paper outlines the approach taken by TC Energy to leverage existing datasets to quantify anomalous seam weld geometries, and more specifically rooftopping, on pipe following an incident. Several different in-line inspection technologies were investigated to quantify the presence of rooftopping, with various levels of success. One of the most promising approaches involved sensor stand-off data of an ultrasonic wall thickness measurement technology. The technology was initially pulled through a calibration spool in which rooftopping was artificially introduced. Through collaboration between the TC Energy and NDT Global, an algorithm was developed to not only detect, but also size the levels of rooftopping within the pipeline. The results of the excavation program found that the technology could adequately detect rooftopping. The absolute sizing of rooftopping is an area of focus for future improvements; however, the ability to detect rooftopping allows for a better understanding of the pipeline system and adds another level of data integration which TC Energy has used to improve their liquids crack management program.
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