利用大磁强计技术识别埋地钢管道的应力集中

S. McDonnell, C. Onuoha, E. Pozniak, V. Shankar
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引用次数: 1

摘要

地埋钢管承受由地质灾害、剪切或外载荷、环向应力等引起的内力或外力的机械应力。这些条件是影响管道完整性的关键因素,可能会导致涂层损坏、凹陷、弯曲、裂缝和泄漏等故障。在难以清管的管道中,识别应力集中区域是一项挑战,特别是与可清管的管道相比。使用大型磁强计(LSM)技术,一种创新的筛选工具,我们可以通过进行间接检查来识别应力集中。LSM技术检测逆磁致伸缩(也称为维拉里效应),“这是材料在受到机械应力时磁化率的变化”。利用该技术,我们可以检测到管道磁场的变化,从而表明管壁上存在应力。LSM技术在与附加数据相关联时显示出显著的结果。例如,LSM技术与在线检查(ILI)或竣工图纸相关联,有助于准确选择挖掘点,以减少应力集中造成的故障。成功识别挖掘以减轻应力集中是至关重要的,因为它大大降低了潜在故障造成的成本,并避免了不必要的挖掘。本文将展示综合方法的好处,以及如何将管线和地上管线完整性数据的相关性确保由应力集中引起的威胁被自信地识别和减轻。几个案例研究将展示最近的进展如何帮助识别和优先处理应力腐蚀开裂(SCC)、裂缝、未知埋藏特征、凹痕和屈曲区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying Stress Concentrations on Buried Steel Pipelines Using Large Standoff Magnetometry Technology
Buried steel pipelines are subjected to mechanical stress, by internal or external forces, resulting from geo-hazards, shear or external loading, and hoop stress. These conditions are key factors that can be detrimental to the integrity of the pipeline and lead to possible failures such as: coating damage, dents, buckles, cracks, and leaks. Identifying stress concentration regions, in difficult to pig pipelines, is challenging, especially when compared to piggable pipelines. Using the Large Standoff Magnetometry (LSM) technology, an innovative screening tool, we can identify stress concentration by performing an indirect inspection. LSM technology detects inverse magnetostriction (also known as the Villari effect) “which is the change of the magnetic susceptibility of a material when subjected to mechanical stress”. Using this technology we can detect changes in the magnetic field of the pipeline which can indicate the presence of stress on the pipe wall. LSM technology has shown significant results when correlated with additional data. For instance, LSM technology correlated with Inline Inspection (ILI) or As-Built drawings have aided in the accurate selection of digs to mitigate failures due to stress concentration. Successfully identifying digs to mitigate stress concentration is vital as it substantially reduces cost due to potential failures and avoiding unnecessary digs. This paper will show the benefits of an integrated approach and how the correlation of inline and aboveground pipeline integrity data ensures that threats due to stress concentrations are confidently identified and mitigated. Several case studies will be presented to show how recent advancements have helped to identify and prioritize regions with Stress Corrosion Cracking (SCC), Cracks, Unknown Buried Feature, Dents, and Buckles.
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