MODELING AND PREDICTION OF CO2 CORROSION PENTRATION RATE OF PIPELINE USING FUZZY LOGIC TECHNIQUE

Bushra H.  Elmoghrabi; Norhan H.   Aref; Abdelrahman S.  Sultan; Omar M.   Elmabrouk

doi:10.66411/jer.v26i.319

المؤلفون

Bushra H. Elmoghrabi Department of Industrial &Manufacturing Systems Engineering, Benghazi University المؤلف
Norhan H. Aref Department of Industrial &Manufacturing Systems Engineering, Benghazi University المؤلف
Abdelrahman S. Sultan Department of Chemical and Petroleum Engineering, Elmergib University المؤلف
Omar M. Elmabrouk Department of Industrial &Manufacturing Systems Engineering, Benghazi University المؤلف

DOI:

https://doi.org/10.66411/jer.v26i.319

الملخص

In this study, an attempt was made to develop (Fuzzy Logic) model to predict CO2 corrosion, sweet environment, penetration rate (CPR) of the Libyan Arabian Gulf Oil Company (AGOCO) Sarir-Tobruk steel pipeline. The study was conducted at different values of the most significant operating parameters; temperature (112-126°F), pressure (195-494 psi) and pH (5.51-5.65). The MINITAB software version16 was used to design the experiments (DOE), Fuzzy logic was developed using MATLAB (2013) Toolbox to predict CO2 corrosion penetration rate (CPR) and NORSOK M-506 software was used as a simulation tool to calculate CPR for each experiment. It was found that, the predicted CO2 corrosion penetration rate was very close to that calculated using NORSOK M-506 with a Mean Absolute Error (MAE) of 0.01. Therefore, it could be concluded that Fuzzy Logic is a promising technique that could be used confidently in predicting the CPR during transporting the crude oil through the steel pipeline

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