Journal of Failure Analysis and Prevention

, Volume 16, Issue 2, pp 243–254 | Cite as

Corrosion in Wet Oil Piping: Root Cause Failure Analysis, Mitigation and Neural Networking

Technical Article---Peer-Reviewed
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Abstract

This paper discusses the typical corrosion anomalies likely to occur in the wet oil system of a Floating Storage and Offloading Vessel (FPSO). The root causes and operational mitigations are identified. A neural network is proposed for capturing relationships within the large volume and diversity of data and hence permit effective modelling of corrosion and integrity of specific piping sections. Novel mitigations which can minimize severity of wall loss for flowing lines include; corrosion modelling of separator fluids and consequent pressure and temperature adjustments and calculated partition coefficients P derived from corrosion inhibitor (CI) injection and residual lab data for first-pass assessment of the effectiveness of CI injections, hence providing adequate inhibition.

Keywords

Root cause analysis Wet oil system Neural networking CO2 corrosion 

References

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    Guidance for corrosion management in oil and gas production and processing. Energy Institute, Oil & Gas UK, May 2008Google Scholar

Copyright information

© ASM International 2016

Authors and Affiliations

  1. 1.DAIZIF Technologies LtdAltrinchamUK
  2. 2.Department of Mechanical EngineeringUniversity of AbujaAbujaNigeria

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