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Title: A statistical method for the calibration of pipeline in-line inspection data
Category: Technical papers from the Journal of Pipeline Integrity
Downloadable: Yes 
Catalog No.: 2062
Date of Publication: Fourth Quarter, 2004
Price: $25.00 US
Authors: Dr Léster Alfonso, Dr Francisco Caleyo, Professor José Manuel Hallen López & E Pérez-Baruch
Abstract: This paper describes a statistical methodology for the calibration of UT and MFL in-line inspection (ILI) tools which is based on the comparison of the ILI readings with field-measurement results. The systematic and random errors that affect both the ILI and the field tools are estimated and, from this information, an unbiased estimation of the true depth of the defects detected by the ILI tool is produced. A generalization of the ILI tool rejection criteria is proposed, and the influence of the number of field verifications on the reliability of the calibration process is addressed. The methodology is tested through Monte Carlo simulations and illustrated using a real-life UT-ILI dataset.
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