Research Article
Predictive Modelling of Wellhead Corrosion due to Operating Conditions: A Field Data Approach
Table 4
Summary of ANOVA for wellhead corrosion and operating parameters.
| |
Measured parameters | | df | SS | MS | | Significance |
| | CR(, , pH, ) | Regression | 4 | 0.72610 | 0.1815 | 2.8385 | 0.045 | | Residual | 25 | 1.59877 | 0.0640 | | | Total | 29 | 2.32487 | | |
| | CR(, , ) | Regression | 3 | 0.78025 | 0.2601 | 4.3779 | 0.012709 | | Residual | 26 | 1.54462 | 0.0594 | | | Total | 29 | 2.32487 | | |
| | CR(, , ) | Regression | 3 | 0.68499 | 0.2283 | 3.6201 | 0.026244 | | Residual | 26 | 1.63988 | 0.0631 | | | Total | 29 | 2.32487 | | |
| | CR(, ) | Regression | 2 | 0.39064 | 0.1953 | 2.7265 | 0.083462 | | Residual | 27 | 1.93423 | 0.0716 | | | Total | 29 | 2.32487 | | |
|
|
