Estimating worst case corrosion in a pipepline

作者: Richard S. Bailey , Kip P. Sprague , Eric R Ziegel

DOI:

关键词: Extreme value theoryMathematicsStatisticsPipeline transportDistribution (mathematics)Sample (statistics)Probability distributionPipeline (computing)Set (abstract data type)Discriminant function analysis

摘要: A method and system for estimating the worst case corrosion in a pipeline which wall thickness measurements are limited to sampled ultrasonic or radiography (UT/RT) measurements. data library contains distributions of in-line inspection (ILI) other pipelines, calibrated correspond UT/RT as needed. These ILI datasets randomly multiple times, obtain sample sets from each dataset. Candidate statistical evaluated set determine candidate most accurately estimates measured by ILI. discriminant function is then derived statistics descriptors associated with sets, along best distribution that set. Sample applied one extreme value estimation, determined using

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