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Is your pipeline clean enough for in-line 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 continuing monitoring of pipeline integrity. It is widely recognised thatnone of the main causes of the failure of such surveys is the unexpected presence of unacceptable quantities of debrisnin the line being surveyed, leading to a degradation of data quality. As a result, the design of a suitable pre-cleaningnprogramme, and the reliable assessment of its results, plays an important role in the overall success of the inspectionnprocess. However, since techniques for assessing pipeline cleanliness have remained relatively primitive, it is generallynrequired to design these pre-inspection cleaning programmes in a conservative way, for example by aiming to clean untilnsatisfied with the volume of debris produced with a pigging tool. This extends the timescale for the operation, whilennevertheless – all too frequently – failing to prevent surveys which deliver data compromised by the presence of largenquantities of debris.nRecent advances in intelligent calipering technology have resulted in improvements in the tools used to carry out thesenassessments, allowing for far greater accuracy when measuring the depth of debris present on the pipe wall. This papernlooks at the techniques currently adopted for assessing the cleanliness of pipelines and in particular describes the usenof Hall Effect based sensor technology, configured to detect proximity to the pipe wall. The paper considers how thisnhas been used in a tool with a suitable arrangement of pig mounted sensors which has the capability to measure thencircumferential profile of debris to an accuracy of +/-0.5mm.
机译:智能检查在持续监控管​​道完整性中起着关键作用。普遍认为,导致此类调查失败的主要原因不是在被调查的生产线上意外地出现了数量不可接受的碎片,这导致数据质量下降。结果,合适的预清洗程序的设计以及对其结果的可靠评估,在检查过程的总体成功中起着重要作用。然而,由于用于评估管道清洁度的技术仍然相对原始,因此通常不需要以保守的方式设计这些检查前清洁程序,例如,通过清洁直到用清管工具产生的碎屑量满意为止。但这延长了操作的时间范围,尽管如此-太频繁了-未能阻止提供大量碎片的数据而损害数据的调查。n智能卡尺技术的最新进展已导致用于进行感测的工具得到了改进,在测量管道壁上存在的碎屑深度时可获得更高的精度。本文着眼于当前用于评估管道清洁度的技术,尤其描述了基于霍尔效应的传感器技术的使用,该传感器技术被配置为检测与管道壁的接近度。本文考虑了如何在具有猪传感器的合适布置的工具中使用此工具,该传感器能够测量碎片的周向轮廓,精度达到+/- 0.5mm。

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