Predicting a Pipeline’s Lifecycle

Tuesday, January 24, 2012 @ 05:01 PM gHale


There may soon be a way to help utility companies predict the service life of wastewater pipeline infrastructure and take a proactive approach to pipeline replacements and maintenance.

Statistical prediction models are under development using data obtained from the Metropolitan Sewer District of Greater Cincinnati, Ohio, to generate deterioration models that will help in the decision-making process regarding future infrastructure development, said Ossama (Sam) Salem, Yabroudi Chair of Sustainable Civil Infrastructures and professor of construction engineering and management at Syracuse University’s L.C. Smith College of Engineering and Computer Science, and his Ph.D. student Baris Salman. The two wrote a paper detailing the models.

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“The models presented … allow utility and wastewater management companies to develop a sound maintenance plan and predict potential failures,” Salem said. “This has impact not only economically, but socially and environmentally as well.”

As wastewater utilities seek to implement asset management strategies to help justify and optimize their expenditures, understanding the current and future behavior of wastewater lines may help utilities mitigate costly emergency repairs. The deterioration models developed by Salem and Salman could assist utilities in assessing risk and identifying pipes that have the highest probability and consequences of failure. Doing so will allow utilities to proactively prevent problems, rather than simply reacting to fix problems after they occur.

While the models are useful for the data set provided, their applicability to different sewer systems depends on the characteristics of those particular networks.

Since weather conditions, soil properties and construction methods vary among cities and among infrastructure systems, different deterioration patterns may occur in different regions.



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