Menu
Search
Filters
Close
Menu

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

51312-01666-Improving the Effectiveness of Indirect Inspection Surveys

Picture for Improving the Effectiveness of Indirect Inspection Surveys
Available for download
Product Number: 51312-01666-SG
ISBN: 01666 2012 CP
Author: Shamus McDonnell
Publication Date: 2012
$0.00
$20.00
$20.00
The complexities of most underground pipeline systems and surroundings continue to pose challenges for above ground indirect inspection surveys and the utility of the acquired data. The result has been gradual loss of confidence in indirect inspection surveys and subsequent increase in research and development efforts in above ground survey techniques. At the crux of the matter is the following objective: to improve the probability of anomaly detection through effective above ground survey methods including data acquisition and data analysis.In this paper we have investigated and reported some of the inherent problems of the typical underground pipeline surroundings by simulating these complexities in a lab scale facility. In the experiments we varied three classes of factors that normally influence conventional pipeline survey data: pipeline features soil features and survey features. Our tests revealed that the probability of detection of a given anomaly size can be highly variable with respect to any of these parameters.We also found that difficulties in detecting anomalies is very often linked to the survey methodologies employed – that is the way the survey was performed the way the survey data was gathered and the data analysis method. From lessons learned in this test facility suggestions are proffered for improving the effectiveness of survey data acquisition and analysis and or course increasing the probability of coating anomaly detection and prioritization.
The complexities of most underground pipeline systems and surroundings continue to pose challenges for above ground indirect inspection surveys and the utility of the acquired data. The result has been gradual loss of confidence in indirect inspection surveys and subsequent increase in research and development efforts in above ground survey techniques. At the crux of the matter is the following objective: to improve the probability of anomaly detection through effective above ground survey methods including data acquisition and data analysis.In this paper we have investigated and reported some of the inherent problems of the typical underground pipeline surroundings by simulating these complexities in a lab scale facility. In the experiments we varied three classes of factors that normally influence conventional pipeline survey data: pipeline features soil features and survey features. Our tests revealed that the probability of detection of a given anomaly size can be highly variable with respect to any of these parameters.We also found that difficulties in detecting anomalies is very often linked to the survey methodologies employed – that is the way the survey was performed the way the survey data was gathered and the data analysis method. From lessons learned in this test facility suggestions are proffered for improving the effectiveness of survey data acquisition and analysis and or course increasing the probability of coating anomaly detection and prioritization.
Product tags
Also Purchased
Picture for Utilitizing Recent Advances in Voltage Gradient Survey Techniques for Complex Survey Conditions
Available for download

51312-01669-Utilitizing Recent Advances in Voltage Gradient Survey Techniques for Complex Survey Conditions

Product Number: 51312-01669-SG
ISBN: 01669 2012 CP
Author: Shamus McDonnell
Publication Date: 2012
$20.00
Picture for Improving the Quality of ECDA Indirect Inspection Data
Available for download

Improving the Quality of ECDA Indirect Inspection Data

Product Number: 51317--9038-SG
ISBN: 9038 2017 CP
Author: Sorin Segall
Publication Date: 2017
$20.00

The quality of indirect inspection data is critical in an External Corrosion Direct Assessment (ECDA).  The need exists to increase the accuracy of the field data collection, to improve the data processing and to effectively present the results. This paper describes several challenges.
Picture for 11132 Optimization of the Coating Anomaly Detection and Prioritization Methodology
Available for download

Optimization of the Coating Anomaly Detection and Prioritization Methodology Using Voltage Gradient Surveys

Product Number: 51300-11132-SG
ISBN: 2011 11132 CP
Author: Chijioke Ukiwe and Shamus McDonnell
Publication Date: 2011
$20.00
Categories
Industry
Recently viewed
Popular tags
View all

Association for Materials Protection and Performance

© AMPP All Rights Reserved.
Membership Terms of Content Use
Contact Customer Support