virtual flowmetering

A hybrid framework combining physics-based modeling with machine learning has been introduced for virtual flow metering, aiming to optimize oil and gas production. The approach estimates flow rates without physical metering hardware, reducing costs and improving accuracy in production monitoring. Industry engineers are weighing its reliability compared with conventional metering solutions.