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Modeling of pipeline corrosion degradation mechanism with a Levy Process based on ILI (In-Line) inspections

机译:基于ILI(在线)检查的征收过程管道腐蚀降解机制的建模

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摘要

In pipelines, one of the primary testing procedures used to identify the effects and evolution of corrosion over time is through In-Line Inspections (ILI). ILI inspections provide detailed information regarding the inner and outer pipeline condition based on the remaining wall thickness. Based on this information, different approaches have been proposed to predict the degradation extent of the defects detected. However, these predictions are subject of uncertainties due to the inspection tool and the degradation process that poses some challenges for assessing an entire pipeline within the timespan between two inspections. To address this problem, ILI data was used to formulate a degradation model for steel-pipe degradation based on a Mixed Levy Process. The model combines a Gamma and Compound Poisson Processes aimed for a better description of the degradation reported by the ILI data. The model seeks to estimate corrosion lifetime distribution and the mean time to failure (MTTF) more accurately. The model was tested on an actual segment of an oil pipeline, and the results have been used to support a preventive maintenance program.
机译:在管道中,用于识别腐蚀的效果和腐蚀的效果之一的主要测试程序之一是通过在线检查(ILI)。 ili检查提供了基于剩余壁厚的内部和外管道条件的详细信息。基于该信息,已经提出了不同的方法来预测检测到的缺陷的劣化程度。然而,由于检查工具和劣化过程,这些预测是由于检查工具和劣化过程来评估在两次检查之间的时间内的整个管道的一些挑战。为了解决这个问题,ILI数据用于基于混合征收过程制定钢管劣化的退化模型。该模型结合了伽玛和复合泊松过程,旨在更好地描述ILI数据报告的降解。该模型旨在更准确地估计腐蚀寿命分布和平均故障(MTTF)。该模型在石油管道的实际段上进行了测试,结果已被用于支持预防性维护计划。

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