Advanced Eddy Current Array Tools for Stress Corrosion Cracking Direct Assessment on Pipelines

Mitchell Sirois, M. Bouchard, A. Sweedy
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引用次数: 2

Abstract

Magnetic Particle Inspection (MPI) has been the main reference for Stress Corrosion Cracking (SCC) detection in pipeline integrity for years. Although this technique is relatively economical and easy to deploy — thanks to a large pool of certified technicians — it remains time consuming and highly user dependent. Some of the factors impacting results during SCC Direct Assessment (SCCDA) include the total surface area requiring examination, hard-to-reach positions underneath pipes during inspection, improper surface preparation due to poor sandblast or contrast, condensation on pipes, and operator fatigue. Recent trials have proved that Eddy Current Array (ECA) technology compares favorably against MPI on many aspects in the field, and that ECA has the potential to become the new standard for SCCDA on pipelines. Offering an impressive speed, combined with a particularly high Probability of Detection (PoD), ECA could transform the work of technicians in ditches and above all, offer greater control over the human factor. Besides detection, ECA has also proven its reliability for SCC characterization on real SCC colonies in both lab and field environments. Comparisons to metallography sections, grinding measurements and X-Ray Computed Tomography (XCT) data have greatly contributed to optimized depth sizing algorithms for this new solution, providing accurate SCC depth readings. Although ECA and Phased Array Ultrasonic Testing (PAUT) are often complementary techniques in the field, the main advantage of ECA over PAUT resides in the short amount of time required to locate and size the deepest cracks among colonies containing sometimes thousands of cracks. Within a few minutes, technicians and engineers know where to concentrate and how critical SCC really is so that decisions can be made instantly. Combining ease of use and repeatability (ways to control the human factor) is another key benefit of ECA technology. This paper provides information about a complete ECA solution for SCC detection and depth sizing on pipelines. It reveals results from the field, comparing ECA with MPI, covering several key points and demonstrating how ECA stands out as improving the overall screening process efficiency during examinations in digs. Furthermore, it also exposes and compares ECA data with both destructive and non-destructive testing performed on test pieces containing real SCC.
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用于管道应力腐蚀开裂直接评估的先进涡流阵列工具
多年来,磁粉探伤(MPI)一直是管道完整性应力腐蚀裂纹(SCC)检测的主要依据。尽管该技术相对经济且易于部署(多亏了大量经过认证的技术人员),但它仍然耗时且高度依赖于用户。影响SCC直接评估(SCCDA)结果的一些因素包括需要检查的总表面积、检查过程中管道下方难以到达的位置、由于喷砂或对比度差而导致的表面准备不当、管道凝结以及操作人员疲劳。最近的试验证明,涡流阵列(ECA)技术在现场的许多方面都优于MPI, ECA有可能成为管道SCCDA的新标准。凭借令人印象深刻的速度,加上特别高的检测概率(PoD), ECA可以改变沟渠技术人员的工作,最重要的是,可以更好地控制人为因素。除了检测外,ECA还在实验室和现场环境中对真实SCC菌落进行了SCC表征,证明了其可靠性。与金相切片、磨削测量和x射线计算机断层扫描(XCT)数据的比较,极大地促进了该新解决方案的深度尺寸优化算法,提供准确的SCC深度读数。尽管ECA和相控阵超声检测(PAUT)在该领域通常是互补的技术,但ECA相对于PAUT的主要优势在于,在包含数千条裂缝的菌落中定位和确定最深裂缝的尺寸所需的时间较短。在几分钟内,技术人员和工程师就知道应该集中精力在哪里,以及SCC的重要性,这样就可以立即做出决定。结合易用性和可重复性(控制人为因素的方法)是ECA技术的另一个关键优势。本文提供了一个完整的ECA解决方案,用于管道的SCC检测和深度确定。它揭示了现场的结果,将ECA与MPI进行了比较,涵盖了几个关键点,并展示了ECA如何在矿井检查过程中提高整体筛选过程效率。此外,它还将ECA数据与含有真实SCC的测试件进行的破坏性和非破坏性测试进行了比较。
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