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Criteria for performance assessment and calibration of in-line inspections of oil and gas pipelines

机译：油气管道在线检查的性能评估和校准标准

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摘要

Oil and gas pipeline operators routinely use magnetic flux leakage ( MFL) and ultrasonic ( UT) in- line inspection ( ILI) to detect, locate and size metal losses caused by corrosion. As a preliminary step in fitness- for- service evaluations, the quality of the ILI is assessed through statistical comparison of the ILI data with data gathered in the field at dig sites. This work presents generalized criteria for the performance assessment and calibration of MFL and UT ILI tools from field measurements. The proposed criteria are capable of accounting for the measurement errors of both the ILI tool and the field instrument. The performance assessment of the ILI run is based on the determination of the minimum number of unsuccessful field verifications required to reject the ILI at a given significance level. The calibration of the ILI data uses new, simplified, error- in- variables methods to estimate the true size of the corrosion metal losses reported by the ILI tool. The proposed methodology also allows for determination of the errors associated with the estimation of the true defect depths. This information is of utmost importance in conducting reliability and risk assessments of pipelines based on either the probability distribution properties of the pipeline defect population, or the probability of failure of each individual defect in the pipeline. The proposed criteria are tested using Monte Carlo simulations and a real- life case study is presented to illustrate their application.
机译：石油和天然气管道运营商通常使用磁通量泄漏（MFL）和超声波（UT）在线检查（ILI）来检测，定位和确定由腐蚀引起的金属损失。作为适应性评估的第一步，通过对ILI数据与挖掘现场实地收集的数据进行统计比较，评估ILI的质量。这项工作提出了通过现场测量对MFL和UT ILI工具进行性能评估和校准的通用标准。提出的标准能够解决ILI工具和现场仪器的测量误差。 ILI运行的性能评估基于确定在给定的显着性水平上拒绝ILI所需的最少不成功的现场验证次数。 ILI数据的校准使用新的，简化的，无误差的方法来估计ILI工具报告的腐蚀金属损失的真实大小。所提出的方法还允许确定与真实缺陷深度的估计有关的误差。在根据管道缺陷总体的概率分布特性或管道中每个单个缺陷的故障概率进行管道的可靠性和风险评估时，此信息至关重要。提出的标准使用蒙特卡洛模拟进行了测试，并通过实际案例研究来说明其应用。

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