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Journal of Applied Sciences and Environmental Management
World Bank assisted National Agricultural Research Project (NARP) - University of Port Harcourt
ISSN: 1119-8362
Vol. 23, No. 6, 2019, pp. 1021-1027
Bioline Code: ja19152
Full paper language: English
Document type: Research Article
Document available free of charge

Journal of Applied Sciences and Environmental Management, Vol. 23, No. 6, 2019, pp. 1021-1027

 en Development of Twelve Parameter Prediction Model for Examining the Under-Pipe Corrosion Deposit Condition of Localized Carbon Steel in Acidic Media
OBASEKI, M

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

 
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