The ferrous pipe structures of oil and gas production and, the transmission pipelines are, in majority, buried. Nowadays, phenomena like corrosion, mechanical stress, soil erosion, worker mistakes and damages caused by third parts have generated several problems over pipelines. Thus, major investment on integrity programs with In-Line Inspection Tools has been improved in order to examine the pipelines and avoid environmental, financial and social disasters. Recently in Colombia, the Research Institute of Corrosion - CIC (Corporation para la Investigation de la Corrosion) runs their own smart pig ILI tool in pipelines. The inspection technology is based on inertia) and operational trends, ITION (Inertial Technology Inspection and Operational Trends). Up to date, the technology has been tested several times inside of pipelines providing valuable information along of thousand kilometres. These records contain a huge amount of data that sometimes is difficult or impossible to understand by themselves. A univariate statistical analysis can be used to determine the thresholds for each observation variable. However, it does not analyse the correlated information between them. In this way, the main contribution of this work is the development of a methodology based on Principal Component Analysis (PCA) to monitor the structure by using the whole available variables gathered by ITION.
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机译：石油和天然气生产的铁质管道结构以及传输管道大部分都被掩埋。如今，腐蚀，机械应力，水土流失，工人的失误以及由第三方造成的损坏等现象已经在管道上产生了若干问题。因此，已经改进了使用在线检查工具进行完整性计划的重大投资，以检查管道并避免环境，金融和社会灾难。最近在哥伦比亚，腐蚀研究所-CIC（Corporation para la Investigation de la Corrosion）在管道中运行了他们自己的智能猪ILI工具。检查技术基于惯性和运行趋势ITION（惯性技术检查和运行趋势）。迄今为止，该技术已经在管道内部进行了多次测试，可提供数千公里的宝贵信息。这些记录包含大量的数据，有时它们自己很难理解或无法理解。单变量统计分析可用于确定每个观察变量的阈值。但是，它不分析它们之间的相关信息。这样，这项工作的主要贡献是开发了一种基于主成分分析（PCA）的方法，以通过使用ITION收集的全部可用变量来监视结构。
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