补偿模糊神经网络模型在储层产能预测中的应用

利用MATLAB的神经网络工具箱,把补偿模糊神经网络引入到测井产能预测中,并用已知井段测井数据进行训练学习,来预测同一地区的其他井段的产能。实践结果表明,该方法效果明显,优势突出。

Using the MATLAB nerve network toolbox can introduces the compensation and fuzzy nerve network to the oil well logging productivity prediction, and carries on training study with the known section of the oil well logging data to dope out the other sections productivity at the same area. The practice result indicated that this method makes greater effect and more superiority than other ways.