No . 5675 A Fuzzy Logic Model Designed for Quantitative Risk Analysis based on ECDA Data

نویسنده

  • Amauri G. Martins
چکیده

Describes a fuzzy logic model intended for quantitative risk analysis to the integrity of buried pipelines. The proposed approach correlates data from combined CIPS+DCVG coating surveys to the soil resistivity, in order to define an indicator that expresses the corrosion susceptibility at a given coating defect location. Inputs used in the mathematical model include: DCVG defect severity, CIPS pipe-to-soil “OFF” potentials and local soil electrical resistivity. The output is a real number, defined in the interval [0, 3], which provides a qualitative and quantitative degree of steel exposure to corrosion activity. Easy to implement, the presented method is an additional tool to assist pipeline operators with assessing the condition of their pipelines and prioritizing corrective actions.

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تاریخ انتشار 2015