virtual flowmetering

The Journal of Petroleum Technology reports on a hybrid framework combining physics-based models with machine learning for virtual flowmetering, aimed at optimizing oil and gas production. Virtual flowmeters estimate flow rates from existing sensor data, reducing the need for costly physical meters. The approach is presented as a way to improve accuracy and reliability in production monitoring across wells.