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Extreme Value Analysis for Offshore Pipeline Risk Estimation

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Engineering for Extremes

Part of the book series: Springer Tracts in Civil Engineering ((SPRTRCIENG))

Abstract

Low alloy or mild steel pipelines operating under high pressures are widely used as economic solutions for oil and gas conveyance in the offshore industry. Protected externally with coatings or concrete, they are prone to corrosion of the internal surfaces. Such corrosion may affect pipeline safety and ability to contain the oil or gas being transported. Herein an overview is given of the principal factors affecting risk and a summary is given of the use of so-called Extreme Value Analysis to quantify the probability of failure of pipe-wall perforation, including prediction of future risk. Attention is given to provide understanding of the corrosion mechanisms involved to ensure risk analysis and prediction are based on sound principles.

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Acknowledgements

The author acknowledges the support of the Australian Research Council (Grants DP14103388 and DP160101908), the funding and information provided through the FPSO Research Forum and AMOG Consulting, Melbourne and Houston. The data in Figs. 17.4 and 17.5 were provided by an anonymous source and processed into the basic Gumbel plot by Dr M Ahammed whose continued support is gratefully acknowledged.

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Authors and Affiliations

  1. Centre for Infrastructure Performance and Reliability, The University of Newcastle, Callaghan, NSW, 2308, Australia

    Robert E. Melchers

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  1. Robert E. Melchers
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Correspondence to Robert E. Melchers .

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Editors and Affiliations

  1. Centre for Infrastructure Performance and Reliability, The University of Newcastle, Newcastle, NSW, Australia

    Mark G. Stewart

  2. Kansas State University, Manhattan, KS, USA

    David V. Rosowsky

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Melchers, R.E. (2022). Extreme Value Analysis for Offshore Pipeline Risk Estimation. In: Stewart, M.G., Rosowsky, D.V. (eds) Engineering for Extremes. Springer Tracts in Civil Engineering . Springer, Cham. https://doi.org/10.1007/978-3-030-85018-0_17

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  • DOI: https://doi.org/10.1007/978-3-030-85018-0_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85017-3

  • Online ISBN: 978-3-030-85018-0

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