G06N30427
Please help me predict the CPC LABEL for this patentPATENT ABSTRACT: A data base is updated that contains oil production rate test data. The oil production rate test data are collected, uploaded, and divided into subsets by a downstream-to-upstream pressure ratio. For each subset, the data is split by an oil flow rate. For each resulted subset, the data is split randomly into training data sets and testing data sets. A feed-forward back propagation neural network is built for each subset in the third step. The simulation model is calibrated utilizing actual production history from the training data set. The model performance is tested utilizing actual production history from the testing data set. If the error is within an acceptable and practicable tolerance, the resulting model is used to simulate future multiphase choke performance. Steps are repeated within a specific frequency depending on the production data flow into the data base.