Markov chain modelling for time evolution of internal pitting corrosion distribution of oil and gas pipelines. (February 2016)

• Record Type: Journal Article
• Authors: Ossai, Chinedu I.; Boswell, Brian; Davies, Ian
• Is Part Of: Engineering failure analysis. Volume 60(2016:Feb.)
• Page Start: 209
• Page End: 228
• Publication Date: 2016-02
• Subjects: Markov modelling -- Pitting corrosion -- Monte Carlo simulation -- Pit depth distribution -- Pitting initiation; System failures (Engineering) -- Periodicals; Fracture mechanics -- Periodicals; Reliability (Engineering) -- Periodicals; Pannes -- Périodiques; Rupture, Mécanique de la -- Périodiques; Fiabilité -- Périodiques; Fracture mechanics; Reliability (Engineering); System failures (Engineering); Periodicals; Electronic journals; 620.112
• DOI: 10.1016/j.engfailanal.2015.11.052
• Languages: English
• ISSNs: 1350-6307

Abstract

Abstract: A continuous time non-homogenous linear growth pure birth Markov model was used to predict the future pit depth distribution of internally corroded oil and gas pipelines. A negative binomial distribution was used for calculating the transition probability functions of the pit depths whilst pit depth growth was estimated for low, moderate, high and severe pitting corrosion rates using field measured data of pit depths, temperatures, CO2 partial pressures, pH and flow rates. The Markov predicted results agreed well with field measured pit depth data from X52 grade pipeline and L-80 and N-80 grades offshore well tubing. Highlights: Modelled internal pitting corrosion of pipelines using pure birth Markov model Used close form of negative binomial distribution to estimate future pit depth growth Pit depth distribution decreases with increase in exposure time of pipelines. Pitting corrosion damage increases with increased exposure time of pipelines. Markov predicted future pit depth growth is similar to the field measured pit depth.