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Is your pipeline clean enough for inline inspection?

机译:您的管道是否足够清洁以进行在线检查?

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Intelligent inspection plays a key role in the ongoing monitoring of pipeline integrity. It is widely recognised that one of the main causes of the failure of such surveys is the unexpected presence of unacceptable quantities of debris in the line being surveyed, leading to a degradation of data quality. As a result, the design of a suitable pre-cleaning programme, and the reliable assessment of its results, plays an important role in the overall success of the inspection process. However, since techniques for assessing pipeline cleanliness have remained relatively primitive, it is generally required to design these pre-inspection cleaning programmes in a conservative way, for example by aiming to clean until satisfied with the volume of debris produced with a pigging tool. This extends the timescale for the operation, while nevertheless, all too frequently, failing to prevent surveys which deliver data compromised by the presence of large quantities of debris.
机译:智能检查在持续监控管​​道完整性中起着关键作用。人们普遍认为,这种调查失败的主要原因之一是被调查的生产线中意外地出现了不可接受数量的碎片,从而导致数据质量下降。因此,设计合适的预清洁程序以及对其结果进行可靠的评估,对于检查过程的整体成功至关重要。但是,由于用于评估管道清洁度的技术仍然相对原始,因此通常需要以保守的方式设计这些检查前清洁程序,例如,以清洁直到满意清管工具产生的碎屑量为目标。然而,这延长了操作的时间范围,尽管如此,却过于频繁,无法阻止提供大量碎片损害数据的勘测工作。

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