An Interpretable Prediction Method for Tubing Corrosion Based on CASA-XGBoost and SHAP-Sobol
In predicting tubing corrosion rates under multi-factor coupling, traditional methods often struggle to effectively analyze the nonlinear interactions among variables such as temperature, pressure, CO<sub>2</sub> partial pressure, and H<sub>2</sub>S partial pressure, and they also lack interpretabil...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2026-05-01
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| Serie: | Algorithms |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/1999-4893/19/6/430 |
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