PREDICTION APPROACH TO DYNAMICS INDEX OF FIELD DEVELOPMENT USING WAVELET NEURAL NETWORK
Liu Daojie · Natural Gas Exploration and Development · 2008
According to shortcomings of the present prediction approach to dynamics index of field development and the principle of wavelet neural network (WNN), this study provides a new dynamics index prediction model using WNN, which can be applied to the actual prediction, and studies the model solution. The case study shows the prediction approach of WNN is correct and feasible. Compared with the prediction method of artificial neural network, this new approach can not only effectively raise the prediction accuracy as well as the convergence rate, but also be an alternative for dynamics index prediction of field development.