Top of the Line Corrosion (TLC) is a major issue in the oil and gas industry. Extensive research in both the laboratory and field has been conducted to understand its mechanism and to develop methods to mitigate TLC in pipelines. TLC models have been developed to predict the degree of corrosiveness in pipelines; however, the models are mostly based on laboratory results. Therefore, it is necessary to validate the models with the real field data to fill the gap in the understanding of the TLC mechanism.
In this thesis, a methodology for comparing TLC model prediction with real field data has been proposed. The methodology involves the analysis of complex field operating conditions and in-line inspection (ILI) data.
The performance of the developed methodology using selected TLC model shows good agreement between the model predictions and the data provided from the field. Nevertheless, there are still some discrepancies particularly at the beginning of the pipelines.