Notice of Retraction Well Cumulative Production Time Series Prediction Model

Chaotic Time Series models were constructed to predict the well cumulate liquid productions based on phase space reconstruction and Genetic Algorithm was applied to determine the parameters: the minimum embedding dimension m and time delay ?. 4 wells in Tahe Oilfield were taken as practical examples and the maximum predicted error produced by prediction models was 76.8 tons. The results show that the prediction models provide results with high accuracy, which indicates it's promising to forecast productions based on the previous production data.