In the oil and gas industry, production allocation metering is often less accurate than desired, making it challenging to estimate precise production rates. To overcome this, leveraging historical production data to predict real-time production rates has proven highly effective. By employing a hybrid modelling approach that combines first principles with data-driven models, we can integrate reservoir conditions with production rates, allowing for accurate real-time estimations of oil, gas, and water production.