The reliability and risk of non-piggable, corroding oil and gas pipelines can be estimated from historical failure data and through reliability models based on the assumed or measured number of corrosion defects and defect size distribution. In this work, an extensive field survey carried out in an upstream gathering pipeline system in Southern Mexico is presented. It has helped determine realistic values for the number of corrosion defects per kilometer (defect density) and obtain a better description of the corrosion defect size distributions in this system. To illustrate the impact that these new corrosion data can have on pipeline risk management, a reliability study is also presented where the field-gathered corrosion data have been used as input to a reliability framework for the estimation of the failure index of non-piggable pipelines and pipeline systems when different amounts of corrosion data are available.
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1 November 2014
Research Article|
April 03 2014
Statistical Analysis of Pitting Corrosion Field Data and Their Use for Realistic Reliability Estimations in Non-Piggable Pipeline Systems Available to Purchase
Alma Valor;
‡Corresponding author. E-mail: [email protected].
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‡Corresponding author. E-mail: [email protected].
*Departamento de Ingeniería Metalúrgica, ESIQIE – IPN, UPALM Edif. 7, Zacatenco, México D.F. 07738, México.
**Universidad Autónoma de la Ciudad de México, México D.F. 09790, México.
*** Facultad de Física, Universidad de La Habana, San Lázaro y L, Vedado, La Habana 10400, Cuba.
Received:
November 15 2013
Revision Received:
March 14 2014
Accepted:
March 14 2014
Online ISSN: 1938-159X
Print ISSN: 0010-9312
© 2014 NACE International
2014
CORROSION (2014) 70 (11): 1090–1100.
Article history
Received:
November 15 2013
Revision Received:
March 14 2014
Accepted:
March 14 2014
Citation
Alma Valor, Francisco Caleyo, Lester Alfonso, Julio Vidal, José M. Hallen; Statistical Analysis of Pitting Corrosion Field Data and Their Use for Realistic Reliability Estimations in Non-Piggable Pipeline Systems. CORROSION 1 November 2014; 70 (11): 1090–1100. https://doi.org/10.5006/1195
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