Sebe Wisdom

Physics-Informed Predictive Analytics for Subsurface Fluid–Contaminant Migration Using Hybrid Geophysical Inversion and Machine Learning

Geological heterogeneity poses a major challenge to predicting subsurface fluid–contaminant migration and assessing groundwater vulnerability. This study develops a physics-informed predictive framework that integrates geophysical inversion with machine learning (ML) to improve the prediction and interpretation of cont...