Analysis of Metal-loss Corrosion on Energy Pipelines Based on ILI Data: A Bayesian Approach

 
9783659203473: Analysis of Metal-loss Corrosion on Energy Pipelines Based on ILI Data: A Bayesian Approach

This book describes the models of calibrating the high-resolution in-line inspection (ILI) tools for sizing metal-loss corrosion defects and to characterize the growth of individual defects on energy pipelines. The models are developed in a Bayesian Framework. The calibration of ILI tools is carried out by comparing the field-measured depths and ILI-reported depths for a set of static defects. And the probabilistic characteristics of the parameters involved in the growth model are evaluated using Markov Chain Monte Carlo (MCMC) simulation technique based on ILI data collected at different times for a given pipeline. Moreover, a methodology is described to evaluate the time-dependent system reliability of a segment of a pressurized pipeline containing multiple active corrosion defects based on ILI data. Both the conventional Monte Carlo simulation and MCMC simulation techniques are employed in the methodology to evaluate the failure probability of the pipeline. The methodology considers three distinctive failure modes, namely small leak, large leak and rupture, and incorporates the hierarchical Bayesian power-law growth model for the depth of individual corrosion defect.

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About the Author:

Mohammad Al-Amin, MESc.Studied Structural Engineering at the University of Western Ontario, Canada. The major field of interest is structural integrity assessment of energy pipelines. Currently working as an integrity engineer in TransCanada Pipelines Ltd., Canada.

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Book Description Book Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | A Bayesian Approach | This book describes the models of calibrating the high-resolution in-line inspection (ILI) tools for sizing metal-loss corrosion defects and to characterize the growth of individual defects on energy pipelines. The models are developed in a Bayesian Framework. The calibration of ILI tools is carried out by comparing the field-measured depths and ILI-reported depths for a set of static defects. And the probabilistic characteristics of the parameters involved in the growth model are evaluated using Markov Chain Monte Carlo (MCMC) simulation technique based on ILI data collected at different times for a given pipeline. Moreover, a methodology is described to evaluate the time-dependent system reliability of a segment of a pressurized pipeline containing multiple active corrosion defects based on ILI data. Both the conventional Monte Carlo simulation and MCMC simulation techniques are employed in the methodology to evaluate the failure probability of the pipeline. The methodology considers three distinctive failure modes, namely small leak, large leak and rupture, and incorporates the hierarchical Bayesian power-law growth model for the depth of individual corrosion defect. | Format: Paperback | Language/Sprache: english | 200 pp. Bookseller Inventory # K9783659203473

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Book Description LAP Lambert Academic Publishing Aug 2012, 2012. Taschenbuch. Book Condition: Neu. Neuware - This book describes the models of calibrating the high-resolution in-line inspection (ILI) tools for sizing metal-loss corrosion defects and to characterize the growth of individual defects on energy pipelines. The models are developed in a Bayesian Framework. The calibration of ILI tools is carried out by comparing the field-measured depths and ILI-reported depths for a set of static defects. And the probabilistic characteristics of the parameters involved in the growth model are evaluated using Markov Chain Monte Carlo (MCMC) simulation technique based on ILI data collected at different times for a given pipeline. Moreover, a methodology is described to evaluate the time-dependent system reliability of a segment of a pressurized pipeline containing multiple active corrosion defects based on ILI data. Both the conventional Monte Carlo simulation and MCMC simulation techniques are employed in the methodology to evaluate the failure probability of the pipeline. The methodology considers three distinctive failure modes, namely small leak, large leak and rupture, and incorporates the hierarchical Bayesian power-law growth model for the depth of individual corrosion defect. 200 pp. Englisch. Bookseller Inventory # 9783659203473

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Book Description LAP Lambert Academic Publishing Aug 2012, 2012. Taschenbuch. Book Condition: Neu. Neuware - This book describes the models of calibrating the high-resolution in-line inspection (ILI) tools for sizing metal-loss corrosion defects and to characterize the growth of individual defects on energy pipelines. The models are developed in a Bayesian Framework. The calibration of ILI tools is carried out by comparing the field-measured depths and ILI-reported depths for a set of static defects. And the probabilistic characteristics of the parameters involved in the growth model are evaluated using Markov Chain Monte Carlo (MCMC) simulation technique based on ILI data collected at different times for a given pipeline. Moreover, a methodology is described to evaluate the time-dependent system reliability of a segment of a pressurized pipeline containing multiple active corrosion defects based on ILI data. Both the conventional Monte Carlo simulation and MCMC simulation techniques are employed in the methodology to evaluate the failure probability of the pipeline. The methodology considers three distinctive failure modes, namely small leak, large leak and rupture, and incorporates the hierarchical Bayesian power-law growth model for the depth of individual corrosion defect. 200 pp. Englisch. Bookseller Inventory # 9783659203473

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Book Description LAP Lambert Academic Publishing. Paperback. Book Condition: New. Paperback. 200 pages. Dimensions: 8.7in. x 5.9in. x 0.5in.This book describes the models of calibrating the high-resolution in-line inspection (ILI) tools for sizing metal-loss corrosion defects and to characterize the growth of individual defects on energy pipelines. The models are developed in a Bayesian Framework. The calibration of ILI tools is carried out by comparing the field-measured depths and ILI-reported depths for a set of static defects. And the probabilistic characteristics of the parameters involved in the growth model are evaluated using Markov Chain Monte Carlo (MCMC) simulation technique based on ILI data collected at different times for a given pipeline. Moreover, a methodology is described to evaluate the time-dependent system reliability of a segment of a pressurized pipeline containing multiple active corrosion defects based on ILI data. Both the conventional Monte Carlo simulation and MCMC simulation techniques are employed in the methodology to evaluate the failure probability of the pipeline. The methodology considers three distinctive failure modes, namely small leak, large leak and rupture, and incorporates the hierarchical Bayesian power-law growth model for the depth of individual corrosion defect. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9783659203473

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Book Description LAP Lambert Academic Publishing, Germany, 2012. Paperback. Book Condition: New. Aufl.. Language: English . Brand New Book ***** Print on Demand *****.This book describes the models of calibrating the high-resolution in-line inspection (ILI) tools for sizing metal-loss corrosion defects and to characterize the growth of individual defects on energy pipelines. The models are developed in a Bayesian Framework. The calibration of ILI tools is carried out by comparing the field-measured depths and ILI-reported depths for a set of static defects. And the probabilistic characteristics of the parameters involved in the growth model are evaluated using Markov Chain Monte Carlo (MCMC) simulation technique based on ILI data collected at different times for a given pipeline. Moreover, a methodology is described to evaluate the time-dependent system reliability of a segment of a pressurized pipeline containing multiple active corrosion defects based on ILI data. Both the conventional Monte Carlo simulation and MCMC simulation techniques are employed in the methodology to evaluate the failure probability of the pipeline. The methodology considers three distinctive failure modes, namely small leak, large leak and rupture, and incorporates the hierarchical Bayesian power-law growth model for the depth of individual corrosion defect. Bookseller Inventory # AAV9783659203473

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