Development of twelve parameter prediction model for examining the under-pipe corrosion deposit condition of localized carbon steel in acidic media

Abstract

This paper presents an under deposit condition of localized carbon steel in acidic gas solutions by developing and using a twelve parameters condition prediction model. The proposed analytical model was tested against De Waard models, neural network model and experimental result and found to have an accuracy of 82.4% against 23%, 53.3%, 95.6% of De Waard Lotz and Milliams models and NN mode and was found to give reasonably accurate results. It had root mean square error (RMSE) of 0.024, mean absolute error (MAE) 0.019, scattered index (SI) 0.371 and with coefficient of determination (R²) of 82.4% in the validation series. The method is useful for introducing nonlinear conditions prediction in undergraduate/postgraduate engineering with manual computation coupled with lesser error and very simple method in application for better corrosion management than the existing manual traditional models.

Keywords: Model, under-deposit, Carbon steel, Corrosion management