首页> 外文会议>Biennial International Pipeline Conference(IPC 2004) vol.3; 20041004-08; Calgary(CA) >PRACTICAL METHOD OF UPDATING STOCHASTIC REMAINING LIFE OF PIPELINES USING ILI DATA
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PRACTICAL METHOD OF UPDATING STOCHASTIC REMAINING LIFE OF PIPELINES USING ILI DATA

机译:利用ILI数据更新管道随机剩余寿命的实用方法

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The paper describes a new practical method of updating the stochastic remnant life of pipelines with defects using ILI data. The paper describes a comprehensive algorithm for assessing pipeline remnant life taking into account the stochastic results of in-line inspection (ILI). It is assumed that the pipeline segment wall has a longitudinal external crack of semi-elliptical form and is described by the J-integral. The limit state function (LSF) is described as the difference of the critical and current value of the J-integral. The latter is calculated for the current time of pipe performance and is assumed known due to monitoring of the pumping equipment. The critical crack depth is defined using the notion of fracture toughness and the J-integral approach. The algorithm contains solutions of three sequentially interconnected problems. First, the deterministic problem of fatigue crack growth (FCG) is analyzed. Then the stochastic FCG is analyzed. The probability of failure assessment algorithm is designed on the basis of the authors' version of the adaptive important sampling (AIS) procedure. The main steps of the AIS algorithm are described in detail. The samples are generated in such a way, that at all times a majority of samples belong to the fracture region. Finally, the results of the latest ILI are fused into the algorithm, providing best possible assessment of pipeline remnant life as a random variable. The remnant life update for pipeline segment with crack-like defects using ILI data takes into account three possible outcomes: defect not discovered: defect is discovered but not measured; defect is discovered and measured. This result permits solving most important problems of pipeline maintenance: prioritization of pipeline segments for repair/rehabilitation; optimization of the time between ILI; minimization of pipe operational risk. Two real cases are described of assessing the probability of fracture/leak of a pipeline section with an external crack at different periods of its performance. The described approach currently is being generalized for the case of multiple stress corrosion SC cracks.
机译:本文介绍了一种新的实用方法,可以使用ILI数据更新具有缺陷的管道的随机剩余寿命。本文介绍了一种综合的算法,该算法考虑了在线检查(ILI)的随机结果,用于评估管道剩余寿命。假定管道段壁具有半椭圆形的纵向外部裂纹,并用J积分描述。极限状态函数(LSF)被描述为J积分的临界值和当前值之差。后者是针对当前管道性能时间计算的,并由于监视抽水设备而被假定为已知。临界裂纹深度是使用断裂韧性和J积分方法定义的。该算法包含三个顺序互连的问题的解决方案。首先,分析了疲劳裂纹扩展(FCG)的确定性问题。然后分析了随机FCG。故障概率评估算法是根据作者的自适应重要抽样(AIS)程序版本设计的。详细介绍了AIS算法的主要步骤。以这样的方式产生样本,使得在任何时候大多数样本都属于断裂区域。最后,将最新的ILI的结果融合到算法中,以对管道剩余寿命的随机变量进行最佳评估。使用ILI数据对具有裂纹状缺陷的管道段的剩余寿命更新考虑了三个可能的结果:未发现缺陷:发现但未测量缺陷;发现并测量缺陷。该结果可以解决管道维护中最重要的问题:对管道段进行维修/修复的优先级;优化ILI之间的时间;最小化管道运行风险。描述了两个真实的案例,用于评估在不同性能阶段具有外部裂纹的管道截面的断裂/泄漏概率。当前针对多应力腐蚀SC裂纹的情况推广了所描述的方法。

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