The authors, over the last fifteen years, have been involved in developing and refining a corrosion prediction model for multiphase CO2 / H2S oil / gas production and transmission environments. This paper evaluates the accuracy and efficacy of the current version of the prediction model, in light of published validation data and field case studies. Corrosion rates from multiple field measurements, including oil / gas production wells and transmission lines were evaluated utilizing the prediction model, which incorporates extensive experimental data from comprehensive Joint Industry Projects (JIP) integrated with data from literature and field experience. Corrosion rates obtained from the prediction model are compared with actual field data to assess and quantify model accuracy.
General Predicting CO2/H2S corrosion in oil and gas production / transmission systems is a complex engineering task that has remained one of the most important areas of corrosion research for the past forty years. Corrosion of steels caused by these dissolved acid gases and other contaminants such as chlorides and oxygen found in production environments have been a major concern for the integrity of oil/gas production / transmission equipment. Thus, numerous predictive models have been developed to predict corrosion rates for carbon steel,1-6 some of the models are based on the mechanistic modeling, while other models are based on empirical correlations with laboratory or field data. Although numerous predictive models have been developed, most of the available models tend to be either too conservative or have not addressed all the relevant and critical parametric effects. An ideal prediction model should utilize commonly available operational input data, address effects of critical parameters, and integrate electro-chemical aspects of corrosion with laboratory data and field experience. A prediction model developed by the authors focused on available data, published literature and theoretical correlations.
