Session: NDE-01-01 Emerging Non-Destructive Evaluation and Prognostic Techniques and Applications

Paper Number: 84011

84011 - Algorithm and Application of Pipeline In-Line Inspection Data Alignment 

 With the publication of GB 32167, pipeline in-line inspection has been executed comprehensively in China, which cause many problems such as mismatching, missing and misreporting of pipeline features, inspection level comparison of different providers to choose the fittest one, data mining problems of multiple rounds of inspections and so on. In-line inspection data alignment can solve these problems efficiently. In this paper, a series of in-line inspection data automatic alignment experiences and algorithms were put forward, which can find out the error of in-line inspection data initially, realize the alignment of above-ground and underground features of pipes, search and locate the complex-defects of one inspection data, and match defects of different rounds of inspections. It could solve the problems such as the difficulty of features’ above-ground locating of pipeline defects and segments, complex-defect judgment and analysis, quality verification of inspection data from different service providers, defect evolution analysis of pipeline, etc. The methodology was applied to a domestic product oil pipeline, the results from the data alignment shows that alignment rates of bends, girth wields and defects are 96.14%, 99.69% and 27.96%, 9 complex-defects are underreported. Reasons for low defect alignment rate are proposed. The analysis results demonstrate problems such as misreporting and underreporting of complex-defects, bends, girth welds and other features, as well as poor data quality and logical errors were also existed in two rounds of inspection data. The relevant advices were given to the pipeline enterprise finally.

Presenting Author: Kaiyan CUI Dalian Research Institute of Petroleum&Petrochemicals, SINOPEC

Presenting Author Biography: CUI Kaiyan, female, assistant researcher, born in 1989, graduated from China University of Petroleum (East China) with a master's degree in Petroleum and Natural Gas Engineering in 2014, and is now mainly engaged in pipeline integrity assessment, intelligent analysis and decision making. Address: No.96 Nankai Street, Lvshunkou District, Dalian 116045, Liaoning Province, China Telephone: 0411-39699211, Email: cuikaiyan.fshy@sinopec.com.

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