A framework for pipeline corrosion growth modeling tailored to mass in-line inspection data
Date
2019-08-30
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Abstract
The integrity management of existing oil and gas pipelines is vital to avoid failures with potentially severe consequences. As many existing pipelines are constructed of steel, corrosion poses a significant threat to the integrity of these pipelines, in-line inspections are periodically performed, and a corrosion growth analysis is used to predict the future state of the pipeline. Currently, there is no standard or guideline for a corrosion growth analysis; and since there are many uncertainties surrounding corrosion, it is difficult to navigate. Additionally, in-line inspections, particularly for upstream and subsea pipelines, often lead to large datasets and the reported data is subject to measurement error. This framework proposed in this thesis is a generalized, step-by-step approach for performing a corrosion growth analysis designed to accommodate for a mass dataset with measurement uncertainty while also allowing for other scenarios. The objectives of this research are primarily to provide consistency of the corrosion growth analysis process, while also improving the efficiency and to provide guidance and advice throughout. An example is carried out from start to finish and the results presented to demonstrate how the framework can be used in practice.
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Keywords
Corrosion, Probabilistic Modeling, Integrity Management, Pipeline
Citation
Birkland, M. (2019). A framework for pipeline corrosion growth modeling tailored to mass in-line inspection data (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.