Apply GM (1,1) and Radial Basic Function Network to Predict the Radial Pressure Data in Oil Wells

Predicting and analyzing the radial pressure data are very important to explore the eccentric wear and deformation of sucker rod in oil wells. A methodology combining grey system theory with radial basic function network is presented, whereby a prediction system of radial pressure data is developed. The proposed method is compared with the grey system theory and radial basic function network, respectively. The validity of the method is verified by the computer simulation results.