The use of pipelines for transporting fluids is essential and has been growingsignificantly in the oil and gas industry. Although pipelines are one of the safestmethods to transport these materials, it is necessary to consider the risks of failures inthe design, as such incidents can cause considerable damage to the population, theenvironment, and the infrastructure. In this context, the aging of the pipeline networkhas been extensively studied, and corrosion is one of the main concerns regardingstructural integrity. Therefore, adequate maintenance planning is essential to ensure thesafety and cost-effectiveness of the sector, as effective pipeline integrity managementcan reduce expenses and maintain safety standards throughout the operational life of thepipeline. In this scenario, inspection and maintenance planning research has becomeincreasingly relevant; recent studies have utilized reliability analysis through MonteCarlo simulations to define optimal maintenance schedules for corroded pipelines,aiming to minimize operational costs associated with pipeline management. This paperinvestigates the influence of repair factors on the estimated total costs of inspectionschedules optimized for a given number of inspections, considering only one failuremode and the combination of these (small leak, burst, and rupture). For this, acombination of methodologies already validated and presented in previous works isused, in which a multilevel optimization is carried out by predefining an upper limit forthe maximum failure probability, which will act as a constraint on the optimizationproblem. The reliability analysis will be performed using Monte Carlo simulations,which are commonly used in the literature. Finally, preliminary results indicated that thefailure mode strongly influences the final cost, so the results considering only onefailure mode are expected to differ considerably.
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