virtual flowmetering

A new hybrid framework combining physics-based modeling with machine learning has been introduced for virtual flowmetering, aiming to optimize oil and gas production. The approach uses physical models to constrain machine learning predictions, improving accuracy in measuring flow rates where physical meters are costly or impractical. Industry coverage highlights its potential to improve reservoir management and production optimization across operations.