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03156 ILI DATA INTEGRATION: PIPELINE INTEGRITY ANALYSIS USING MULTIPLE INSPECTION TECHNOLOGIES

Picture for 03156 ILI DATA INTEGRATION: PIPELINE
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Product Number: 51300-03156-SG
ISBN: 03156 2003 CP
Author: William H. Brown, Wilson Rivera
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Pipeline integrity management requires data integration to achieve the best assessment of pipeline condition. In the field of in-line inspection (ILI), data integration can be achieved correlating and merging the analysis results of data sets collected by tools (smart pigs) equipped with diverse non- destructive inspection technologies. Combined analysis of ILI data presents advantages in addressing the characterization, evaluation, and sizing of pipeline anomalies. The anomalies can then be related more readily to the threats that are known to affect pipeline integrity and a comprehensive integrity management program can be designed and implemented. The combined ILI data analysis approach has shown merit in situations were the integrity is compromised by anomalies that exhibit the simultaneous occurrence of two or more pipeline threats. This paper presents a case history that shows how the analysis of data from diverse ILI tools can better define and assess pipeline anomalies. The case focuses on the evaluation of selective internal metal loss affecting the heat affected zone (HAZ) of an older vintage electric-resistance welded (ERW) pipeline and its implications on integrity management.

Key words: pipeline, smart pig, in-line inspection (ILI), ultrasound wall-thickness inspection (UT), metal loss, corrosion, heat affected zone (HAZ), longitudinal seam weld, magnetic flux leakage (MFL), transverse field inspection (TFI), old vintage ERW pipe
Pipeline integrity management requires data integration to achieve the best assessment of pipeline condition. In the field of in-line inspection (ILI), data integration can be achieved correlating and merging the analysis results of data sets collected by tools (smart pigs) equipped with diverse non- destructive inspection technologies. Combined analysis of ILI data presents advantages in addressing the characterization, evaluation, and sizing of pipeline anomalies. The anomalies can then be related more readily to the threats that are known to affect pipeline integrity and a comprehensive integrity management program can be designed and implemented. The combined ILI data analysis approach has shown merit in situations were the integrity is compromised by anomalies that exhibit the simultaneous occurrence of two or more pipeline threats. This paper presents a case history that shows how the analysis of data from diverse ILI tools can better define and assess pipeline anomalies. The case focuses on the evaluation of selective internal metal loss affecting the heat affected zone (HAZ) of an older vintage electric-resistance welded (ERW) pipeline and its implications on integrity management.

Key words: pipeline, smart pig, in-line inspection (ILI), ultrasound wall-thickness inspection (UT), metal loss, corrosion, heat affected zone (HAZ), longitudinal seam weld, magnetic flux leakage (MFL), transverse field inspection (TFI), old vintage ERW pipe
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