The Prediction of Energy-Saving Indicators of Oilfield Based on the QPSO Optimized LS-SVR

Abstract

According to the prediction of energy-saving indicators of oilfield, proposed a prediction model based on QPSO optimized LS-SVR. In order to improve the prediction accuracy and speed, described the complex nonlinear relationship of predictors and factors by using LS-SVR, and optimized the parameters of LS-SVR through improved QPSO. The training data is oil production and liquid production of production data of oil production plant. The prediction result shows that, the model can achieve higher accuracy, so the method is effective and feasible.