Abstract: An example method includes managing a number of machine learning models. The method includes tuning the received machine learning models based on a set of metrics to produce a number of tuned machine learning models. The method includes generating an optimization recommendation in response to receiving statistical information. The method includes modifying an operation condition based on the optimization recommendation to improve oil production.

Abstract: A methodology for optimizing the recovery from a system of wells is provided. The method is executed via a processor of a computing system. The method includes receiving input data for a system of wells. The method also further includes predicting, via a trained virtual flow meter, virtual flow rates for the system of wells for a scenario using a predicted pressure and temperature for the scenario. The predicted pressure and temperature are generated based on the input data. The method includes generating a production optimization recommendation based on the predicted virtual flow rates and a received rule for the system of wells. The method includes adjusting a manipulative parameter of a well in the system of wells based on production optimization recommendation.