Uncertainty quantification of wall thickness of onshore gas transmission pipelines

Author:

Zhou W.11,Bao J.11

Affiliation:

1. Department of Civil & Environmental Engineering, The University of Western Ontario, London, ON N6A 5B9, Canada.

Abstract

The present study quantifies probabilistic characteristics of the wall thickness of welded pipe joints in onshore gas transmission pipelines based on about 5900 field-measured wall thicknesses collected from a pipeline system in Canada. The collected data cover a wide range of pipe nominal wall thicknesses, from 3.18 to 16.67 mm. By considering the measurement error involved in the collected wall thickness data, statistical analyses indicate that the actual-over-nominal wall thickness ratio (AONR) follows a normal distribution with a mean of 1.01 and a coefficient of variation (COV) ranging from 1.6% to 2.2% depending on the nominal pipe wall thickness. The implications of the developed AONR statistics for the reliability analysis of corroded pipe joints are investigated. This study provides key input to the reliability-based design and assessment of pipelines with respect to various threats, such as metal-loss corrosion and stress corrosion cracking.

Publisher

Canadian Science Publishing

Subject

General Environmental Science,Civil and Structural Engineering

Reference14 articles.

1. Ang, A.H.S., and Tang, W.H. 2007. Probability concepts in engineering: emphasis on application to civil and environmental engineering, 2nd ed. John Wiley and Sons, Inc., Hoboken, N.Y.

2. Canadian Standards Association (CSA). 2019. CSA Z662: oil and gas pipeline systems. Canadian Standards Association, Mississauga, Ontario.

3. Der Kiureghian, A. 2005. First- and second-order reliability methods. In Engineering design reliability handbook. Edited by E. Nikolaidis, D.M. Ghiocel and S. Singhal. CRC Press, Boca Raton, Fla. pp. 302–325.

4. Jiao, G., Sotberg, T., and Igland, R.T. 1995. SUPERB 2M statistical data-basic uncertainty measures for reliability analysis of offshore pipelines. SUPERB JIP Report No. STF70-F95212. Norwegian Marine Technology Research Institute, Trondheim, Norway.

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