神经网络在预测剩余油气中的应用

Neural Network Applied in Predicting the Remaining Oil and Gas

该文针对传统勘探方法不能准确预测剩余油气的问题,提出了基于模糊理论和自组织神经网络预测剩余油气的方法。利用模糊神经网络系统收敛较快,预测精度高的优势以及自组织神经网络无监督竞争式学习的机制,实现了对剩余油气的预测。神经网络的方法提高了预测精度,得到了较好预测的效果。

The paper is aimed at the problem of traditional exploration methods can not predict the remaining oil and gas accurately, the methods of fuzzy theory and self-organizing map are approached. It takes the advantage of Fuzzy neural network system converging faster and higher prediction accuracy, as well as the unsupervised competitive learning mechanism of self-organizing map,it achieves the goal of predicting the remaining oil and gas. The method of neural network improve the precision of remaining oiland gas, it obtains better effect of prediction.