Journal
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
Volume 25, Issue 1, Pages 70-80Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jlp.2011.07.004
Keywords
Inspection; Sample size; Localized corrosion; Extreme value method; Bootstrap; Gumbel probability distribution
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Funding
- Petroleum Research Atlantic Canada (PRAC)
- Natural Science and Engineering Research Council (NSERC) Canada
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This paper proposes a methodology to estimate the required sample size to assess, with a specified precision, the localized corrosion of process components. The proposed methodology uses the extreme value and bootstrap methods. The results of estimated sample size ensure that the predicted maximum localized corrosion with the extreme value method is within an acceptable margin of error at a specified confidence level. Using the results of the proposed methodology, an equation is introduced to calculate sample size as a function of the acceptable margin of error, the population size, the standard deviation of corrosion data and the required confidence level. The probability of exceedance of critical limit of localized corrosion is also estimated. The methodology is explained through a case study of localized corrosion in process piping. (C) 2011 Elsevier Ltd. All rights reserved.
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