Statistical analysis of pitting corrosion field data and their use for realistic reliability estimations in non-piggable pipeline systems

Alma Valor, Francisco Caleyo, Lester Alfonso, Julio Vidal, José M. Hallen

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

© 2014, NACE International. 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.
Original languageAmerican English
Pages (from-to)1090-1100
Number of pages11
JournalCorrosion
DOIs
StatePublished - 1 Nov 2014
Externally publishedYes

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Pitting
Statistical methods
Pipelines
Corrosion
Defects
Defect density
Gas pipelines
Risk management
Oils

Cite this

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abstract = "{\circledC} 2014, NACE International. 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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Statistical analysis of pitting corrosion field data and their use for realistic reliability estimations in non-piggable pipeline systems. / Valor, Alma; Caleyo, Francisco; Alfonso, Lester; Vidal, Julio; Hallen, José M.

In: Corrosion, 01.11.2014, p. 1090-1100.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Statistical analysis of pitting corrosion field data and their use for realistic reliability estimations in non-piggable pipeline systems

AU - Valor, Alma

AU - Caleyo, Francisco

AU - Alfonso, Lester

AU - Vidal, Julio

AU - Hallen, José M.

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AB - © 2014, NACE International. 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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