带应力冒管管道凹痕评估的半定量可靠性排序方法

Doug Langer, S. Hassanien, Janine Woo
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引用次数: 0

摘要

目前对于现有管道凹痕潜在延迟故障的预测和管理法规主要依赖于深度和与威胁相互作用相关的保守假设,这些假设与行业故障的相关性有限。这种不相关会给管理管道完整性项目的有效性和效率带来挑战。需要详细评估复杂凹痕特征的领先完整性技术依赖于有限元分析的使用,由于过于复杂的建模和分析程序,这对于管理大型管道系统往往效率低下。虽然整个行业都在努力改进凹痕评估模型,但这些模型通常需要大量详细的信息,而这些信息可能无法提供给运营商;此外,它们遭受分散的模型误差,这使它们容易受到不明确的保守性(或非保守性)水平的影响。然而,大多数技术/模型本质上是确定性的,忽视了随机和认知不确定性的影响。为了考虑与问题相关的不同类型的不确定性,作业者在规划缓解方案时,通常会基于主题专家的意见进行保守假设。这导致了低效的挖掘方案(与巨大的成本相关),同时可能会在管道上留下凹痕,而这些凹痕无法使用当前的方法进行定量风险评估。为了解决这些问题,需要一个凹痕评估框架,在实际的时间框架内,利用与其他完整性项目一致的可用信息,在系统级评估凹痕和威胁集成特征的准确性和能力之间取得平衡。本文扩展了作者先前发表的关于评估凹痕与压力发生器相互作用的完全定量可靠性的方法的工作。所提出的半定量可靠性模型利用基于应变的平面凹痕极限状态(包括不确定性),以及用于考虑复杂几何形状、应力隔层相互作用和操作条件的半定量因素。这些因素经过校准,以获得更详细的分析和/或实地调查结果的可靠性结果,以便提供一种简单、保守、基于分析的排名工具,可用于识别可能需要在缓解之前进行更详细评估的特征。初始验证结果与继续开发的区域一起提供。所提出的模型提供了足够的灵活性,可以根据特定操作人员的经验进行定制/校准。该模型允许在短时间内对管道系统中所有类型的凹痕特征进行一致的分析,以支持特征的优先级,同时提供基本级别的可能性评估,以支持风险计算。这项新技术支持凹痕管理框架,该框架包括多层分析,使用确定性和概率技术,来管理与管道系统中的应力上升管相关的凹痕威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semi-Quantitative Reliability-Based Ranking Method for Assessment of Pipeline Dents With Stress Risers
Current regulations for prediction and management of potential delayed failures from existing pipeline dents rely primarily on depth and conservative assumptions related to threat interactions, which have shown limited correlation with industry failures. Such miscorrelation can lead to challenges in managing effectiveness and efficiency of pipeline integrity programs. Leading integrity techniques that entail detailed assessment of complex dent features rely on the use of finite element analysis, which tends to be inefficient for managing large pipeline systems due to prohibitively complex modeling and analysis procedures. While efforts are underway to improve dent assessment models across the industry, these often require significant detailed information that might not be available to operators; moreover, they suffer scattered model error which makes them susceptible to unclear levels of conservatism (or non-conservatism). Nevertheless, most techniques/models are deterministic in nature and neglect the effect of both aleatory and epistemic uncertainties. Operators typically utilize conservative assumptions based on subject matter experts’ opinions when planning mitigation programs in order to account for different types of uncertainties associated with the problem. This leads to inefficient dig programs (associated with significant costs) while potentially leaving dents on the pipeline which cannot be quantitatively risk assessed using current approaches. To address these concerns, the problem calls for a dent assessment framework that balances accuracy with the ability to assess dent and threat integration features at a system-wide level with available information in a practical timeframe that aligns with other integrity programs. This paper expands upon the authors’ previously published work regarding a fully quantitative reliability-based methodology for the assessment of dents interacting with stress risers. The proposed semi-quantitative reliability model leverages a strain-based limit state for plain dents (including uncertainty) with semi-quantitative factors used to account for complex geometry, stress riser interactions, and operating conditions. These factors are calibrated to reliability results from more detailed analysis and/or field findings in order to provide a simple, conservative, analytical-based ranking tool which can be used to identify features that may require more detailed assessment prior to mitigation. Initial validation results are provided alongside areas for continued development. The proposed model provides sufficient flexibility to allow it to be tailored/calibrated to reflect specific operator’s experience. The model allows for a consistent analysis of all types of dent features in a pipeline system in a short period of time to support prioritization of features while providing a base-level likelihood assessment to support calculation of risk. This novel development supports a dent management framework which includes multiple levels of analysis, using both deterministic and probabilistic techniques, to manage the threat of dents associated with stress risers across a pipeline system.
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