Search
Filters
Close

Save 20% on select titles with code HIDDEN24 - Shop The Sale Now

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

Product Number: 51300-03156-SG
ISBN: 03156 2003 CP
Author: William H. Brown, Wilson Rivera
$0.00
$20.00
$20.00
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
PRICE BREAKS - The more you buy, the more you save
Quantity
1+
5+
Price
$20.00
$20.00
Product tags
Also Purchased
Picture for 04182 ILI Reporting for Pipeline Integrity
Available for download

04182 ILI Reporting for Pipeline Integrity Management Programs

Product Number: 51300-04182-SG
ISBN: 04182 2004 CP
Author: Martin Phillips, Daniel Soenjoto, Michiel P. Brongers, and Patrick H. Vieth, CC Technologies Inc.
$20.00
Picture for JUDICIOUS INTERPRETATION OF IN-LINE INSPECTION (ILI) INTELLIGENT PIGGING DATA
Available for download

51312-01218-JUDICIOUS INTERPRETATION OF IN-LINE INSPECTION (ILI) INTELLIGENT PIGGING DATA

Product Number: 51312-01218-SG
ISBN: 01218 2012 CP
Author: Abdul Razaaq Al-Shamari
Publication Date: 2012
$20.00
Picture for 05164 Assessment of ILI Tool Performance
Available for download

05164 Assessment of ILI Tool Performance

Product Number: 51300-05164-SG
ISBN: 05164 2005 CP
Author: Guy Desjardins, Morrison Scientific
$20.00