Improved Differential Simulation Method for Oilfields Development Indices Forecast
Chao Min, Zhibin Liu · 2009
A differential simulation method is proposed for the oilfields development indices forecast in this paper. Then it is improved through BP neural networks with varying learning rate, which is employed in the process of parameter identification and makes the accuracy of medium and long-term prediction better. This model based on time-varying systems is applied in a practical example in the end of this paper and the results demonstrate that the accuracy is indeed improved.