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应用时间序列分析方法预测油气管线点腐蚀深度扩展 被引量:3

Predicting the Pitting Depth Growth in Oil & Gas Pipelines with the Times Series Analysis Method
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摘要 点腐蚀是影响油气管线剩余寿命的重要因素,预测油气管线的点腐蚀深度扩展行为是评价管线剩余寿命的关键步骤之一。基于时间序列分析处理动态数据的特性,建立了点腐蚀观测数据时间序列分析模型,并结合实例对方法的有效性进行了分析,结果表明,应用时间序列分析预测油气管线点腐蚀深度扩展是切实可行的。 Pitting is a important factor to influent residual lifetime of oil & gas pipelines, predicting the pitting depth growth behavior in oil & gas pipelines is one of the critical procedures to assess residual lifetime of pipelines, based on the characteristics of times series analysis in handling with dynamic data, A times series analysis model is build up on pitting corrosion observation data series, and the validity of the method is analyzed with a instance ?The results show that it is feasible to use times series analysis to predict the pitting depth growth in oil & gas pipelines。
机构地区 西南石油学院
出处 《全面腐蚀控制》 2005年第2期35-37,共3页 Total Corrosion Control
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