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07124 Development of an Uncertainty Based Internal Corrosion Assessment for Oil and Gas Pipelines

Picture for 07124 Development of an Uncertainty Based Internal Corrosion Assessment for Oil and Gas Pipelines
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Product Number: 51300-07124-SG
ISBN: 07124 2007 CP
Author: Kirsten Oliver and David Gareth John
Publication Date: 2007
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Internal inspection of pipelines is not always economically possible, and therefore a method of assessing the current condition based on historic operating and process conditions has been developed. Modeling the corrosivity of the fluids over the life of the pipeline enables an assessment of the current condition to be established. This then allows a risk-based approach to extension of asset life to be developed. The analysis method uses uncertainty based probability analysis to allow for gaps in data and uncertainty in process conditions. Changes in operating condition and process fluids over time will affect the likely degradation year on year. This paper presents two case studies where the use of uncertainty modeling has enabled the current condition of the pipeline to be assessed. In addition the future life expectancy is presented as a probability profile that can then be used to assess the risk associated with changing future process parameters. This modeling approach also enables corrosion data to be transferred into financial data by assessing probability and risk.
Internal inspection of pipelines is not always economically possible, and therefore a method of assessing the current condition based on historic operating and process conditions has been developed. Modeling the corrosivity of the fluids over the life of the pipeline enables an assessment of the current condition to be established. This then allows a risk-based approach to extension of asset life to be developed. The analysis method uses uncertainty based probability analysis to allow for gaps in data and uncertainty in process conditions. Changes in operating condition and process fluids over time will affect the likely degradation year on year. This paper presents two case studies where the use of uncertainty modeling has enabled the current condition of the pipeline to be assessed. In addition the future life expectancy is presented as a probability profile that can then be used to assess the risk associated with changing future process parameters. This modeling approach also enables corrosion data to be transferred into financial data by assessing probability and risk.
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