Utilization of a Probabilistic Function to Describe the Performance of In-Line Crack Inspection Systems and a Possible Application in Hydrogen Service

Tim Moritz, M. Baumeister, T. Beuker
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Abstract

A more result-driven, holistic view on the performance of an In-line inspection (ILI) system is desired by pipeline operators, namely an integrated view on the Probabilities of Detection, Identification and Sizing, i.e. POD, POI and POS respectively. It is self-evident to combine the product of the individual probabilities to a single value POX as proposed also by API 1163. The changes in material properties of existing pipelines related to the repurposing to Hydrogen service yields smaller acceptable anomaly dimension. Consequently the dependency of the POX vs. anomaly dimensions need to be considered as function. The current practice to document the performance of an ILI system is typically based only on the specific dimensions of minimum detectable crack-like anomaly. In the case of crack-like anomalies, the contribution of the dimensions (e.g. length, depth, orientation) and interactions of crack-like anomalies can be used to turn POX into a meaningful function/dependency depending on the anomaly dimensions instead of a single value. To establish a POX to anomaly dimension relation successfully for a specific ILI crack detection service, the relevance of field verifications needs to be taken into account as well. Previous publications as well as physics foundations of NDE demonstrate that an increase in anomaly dimensions typically yields a higher sensitivity of the underlying inspection system. This can be immediately linked to the POX function as product of POD, POI and POS. This paper provides access to an in-depth assessment of POX based on the results of recent field verification data. The paper focuses on the interaction between POX and different anomaly dimensions. This is supported by the most commonly applied standard for in-line inspection, API 1163, which implies the validation of inspection performance with use of field verifications based on the reported results. In addition, a performance specification can be derived exclusively based on a field verification campaign, in the absence of other comparable performance information. As an example, as part of a conversion of natural gas transmission pipelines to hydrogen service the sensitivity of inspection systems is frequently discussed. A potentially increased crack growth rate da/dN and a reduction in pipe steel toughness seem to require a reduction of minimum acceptable anomaly dimensions, in the absence of better statistical evidence of the actual ILI performance. The proposed POX assessment will be a credible means to establish optimal re-inspection intervals for existing in-line crack inspection technologies.
利用概率函数描述在线裂纹检测系统的性能及其在加氢服务中的应用
管道运营商希望对在线检查(ILI)系统的性能有一个更以结果为导向的整体视图,即对检测概率、识别概率和大小概率(即POD、POI和POS)的综合视图。将单个概率的乘积组合为API 1163提出的单个值POX是不言而喻的。与氢气服务相关的现有管道材料特性的变化产生了更小的可接受异常尺寸。因此,需要将POX与异常维度的依赖关系视为函数。目前记录ILI系统性能的实践通常仅基于最小可检测裂纹样异常的特定尺寸。在类裂纹异常的情况下,类裂纹异常的维度(例如长度,深度,方向)和相互作用的贡献可以用来将POX转换为依赖于异常维度而不是单一值的有意义的函数/依赖。为了成功地为特定的ILI裂纹检测服务建立POX到异常维度的关系,还需要考虑现场验证的相关性。以前的出版物以及无损检测的物理基础表明,异常尺寸的增加通常会产生更高的底层检测系统的灵敏度。这可以立即与POX函数联系起来,作为POD、POI和POS的产物。本文提供了基于最近现场验证数据结果的POX深入评估。重点研究了POX与不同异常维数之间的相互作用。这得到了最常用的在线检查标准API 1163的支持,该标准意味着使用基于报告结果的现场验证来验证检查性能。此外,在没有其他可比较的性能信息的情况下,性能规范可以完全基于现场验证活动而得出。例如,作为天然气输送管道转换为氢气服务的一部分,经常讨论检测系统的灵敏度。在缺乏更好的实际ILI性能统计证据的情况下,裂纹扩展速率da/dN的潜在增加和管材韧性的降低似乎需要降低最小可接受异常尺寸。提出的POX评估将是现有在线裂纹检测技术建立最佳复检间隔的可靠手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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