Corrosion Penetration Rate (CPR) is a critical parameter in the oil and gas industry, as it directly impacts the safety, reliability, and operational costs of pipeline systems. In recent years, numerous studies have proposed various predictive models, including Artificial Neural Networks (ANN), Fuzzy Logic (FIS), Optimized ANN (LM), Hybrid ANN-FL, and Adaptive Neuro-Fuzzy Inference Systems (ANFIS), to estimate CPR under different operational conditions. This meta-analysis aims to synthesize the findings of 5 key studies, providing a comprehensive assessment of the predictive accuracy of these models.......
Keywords- Corrosion Penetration Rate (CPR), Meta-Analysis, Prediction, Effect Size Analysis.
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