Global Journal of Researches in Engineering, G: Industrial Engineering, Volume 23 Issue 2

Table 4 shows that all p-values associated with each individual model term. The terms are significant when alpha value is < 0.05. b) Model Validation calculated for the model by Eq.2. The value of the NSE is 0.999, which indicates that the model is very good. NSE = 1 − ∑( − ) ଶ ∑൫ − Â൯ ଶ (2) Where: A: Actual value for CPR. Â: Average actual value for CPR. P: Predicted value for CPR. 3.5 4 4.5 5 5.5 6 6.5 0 3 6 9 12 15 18 21 24 27 30 33 CPR (mm/year) Experiment number Actual CPR Predicted CPR Fig. 2: The Actual and the Predicted Corrosion Penetration Rate In addition, a probability plot is also used to identify the appropriate distribution. The Normal probability plot has some points that do not lie along the line in the upper and lower region. This may indicate potential outliers in data. Various fits, histograms, and order distributions are shown in Figure 3. It can be seen from the probability plots, that the data are from a normal distribution is the best one since all data fall within the 95% confidence interval. © 2023 Global Journals Global Journal of Researches in Engineering Volume XxXIII Issue II Version I 34 Year 2023 ( ) G Modeling and Optimization of Corrosion Penetration Rate in Crude Oil Pipeline using Response Surface Methodology based on Aspen HYSYS Simulation Software To validate the developed model, the mean absolute percentage error (MAPE) was used to estimate the variation between the actual and predicted CPR . The value of the MAPE is 0.02%, compared with the actual values of Corrosion Penetration Rate , as plotted in Figure 2. The Nash-Sutcliffe Efficiency (NSE) was