Optimizing Crude Oil in Transportation Pipeline using Response Surface Methodology

In this study, response surface methodology (RSM) has been employed to study, model and optimize the effect of some operation parameters of crude oil transportation processes, by pipeline, on the corrosion penetration rate (CPR). The parameters studied were, pressure, temperature, and pH, and their ranges were determined. Response surface methodology (RSM) has been applied using Central Composite Design (CCD) to generate specific number of experiments to check the CPR, The predicted values obtained using developed model were compared with the actual values calculated using NORSOK M-506 standard software based on the mean absolute error (MAE). Analysis of variance (ANOVA), surface and contour plots were applied for prediction, modelling using first and second order models and optimizing process parameters. The value of the MAE was 0.047467 which indicated that, the model is reliable and significant. Moreover, the optimal values of the studied parameters, pressure, temperature, and pH achieved. Keywords: Corrosion, Modelling, RSM, CPR, CO2, Prediction, Optimizing.