Fig. 10: Comparative analysis of BN model predictions for DSS and super DSS grades. | npj Materials Degradation

Fig. 10: Comparative analysis of BN model predictions for DSS and super DSS grades.

From: Predicting stress corrosion cracking in downhole environments: a Bayesian network approach for duplex stainless steels

Fig. 10

a Predicted probabilities for standard DSS with PRE values between 35 and 40. The BN model predicts a probability of pitting corrosion around 63.75%, while the probability of SCC is 31.61%. b Predicted probabilities for super DSS with PRE values above 40. The BN model shows significantly low probabilities of both pitting corrosion and SCC, around 24.36% and 16.62%, respectively. Variables highlighted in green cover specified conditions: 0.02–0.5 bar pH2S, 30,000–120,000 ppm Cl−, temperatures 60–115 °C, and 0.8–1.2 \({\sigma }_{R}\). Variables highlighted in blue are unrestricted. Red square on PRE node indicates a 100% probability according to the specific range of DSS grades.

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