Detection and quantitative assessment of corrosion on pipelines through image analysis

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Abstract

Pipeline is one of the safest and most reliable ways of hydrocarbon transportation. With a huge volume of process fluids (hazardous, flammable, corrosive, toxic) being handled, the integrity of pipelines is of the utmost importance to ensure safety of plant, people and environment. Corrosion on the external or internal surfaces of in-service pipes reduces the integrity of the pipeline system and potentially reduces the service life of the pipes. In order to automate inspection of pipelines over long ranges, a new methodology has been proposed using machine vision concepts. Corrosion is identified and the damage due to it has been quantified, which will help the management in maintenance of pipeline integrity to prioritize their remedial measures.

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APA

Bondada, V., Pratihar, D. K., & Kumar, C. S. (2018). Detection and quantitative assessment of corrosion on pipelines through image analysis. In Procedia Computer Science (Vol. 133, pp. 804–811). Elsevier B.V. https://doi.org/10.1016/j.procs.2018.07.115

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