Markov chain modelling for time evolution of internal pitting corrosion distribution of oil and gas pipelines
Source abstract
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, CO 2 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.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Structural Integrity and Reliability Analysis · Corrosion Behavior and Inhibition · Hydrogen embrittlement and corrosion behaviors in metals
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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