NDLI: Markov Chain Model Helps Predict Pitting Corrosion Depth and Rate in Underground Pipelines

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Caleyo, F. Vela´zquez, J. C. Hallen, J. M. Valor, A. Esquivel-Amezcua, A.
Copyright Year	2010
Abstract	A continuous-time, non-homogenous pure birth Markov chain serves to model external pitting corrosion in buried pipelines. The analytical solution of Kolmogorov’s forward equations for this type of Markov process gives the transition probability function in a discrete space of pit depths. The transition probability function can be completely identified by making a correlation between the stochastic pit depth mean and the deterministic mean obtained experimentally. Previously reported Monte Carlo simulations have been used for the prediction of the evolution of the pit depth distribution mean value with time for different soil types. The simulated pit depth distributions are used to develop a stochastic model based on Markov chains to predict the progression of pitting corrosion depth and rate distributions from the observed soil properties and pipeline coating characteristics. The proposed model can also be applied to pitting corrosion data from repeated in-line pipeline inspections. Real-life case studies presented in this work show how pipeline inspection and maintenance planning can be improved through the use of the proposed Markovian model for pitting corrosion.
Sponsorship	International Petroleum Technology Institute and the Pipeline Division
Starting Page	573
Ending Page	581
Page Count	9
File Format	PDF
ISBN	9780791844236
DOI	10.1115/IPC2010-31351
e-ISBN	9780791838853
Volume Number	2010 8th International Pipeline Conference, Volume 4
Conference Proceedings	2010 8th International Pipeline Conference
Language	English
Publisher Date	2010-09-27
Publisher Place	Calgary, Alberta, Canada
Access Restriction	Subscribed
Subject Keyword	Chain Pipelines Inspection Probability Maintenance Coatings Underground pipelines Corrosion Simulation Soil Markov processes Coating processes Engineering simulation
Content Type	Text
Resource Type	Article

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Markov Chain Model Helps Predict Pitting Corrosion Depth and Rate in Underground Pipelines

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