摘要
论述了BP神经网络的基本原理及在油气预测中的应用 ,特别讨论了网络的学习和网络技术的改进 .通过SN油田SGH组的油气预测 ,表明利用BP神经网络进行油气藏的储层预测是有效的 .
The main idea of this paper is to discuss the basic principle of BP neural network and its application of predicting oil and gas, especially the study of network and the technology of improving the capability of network. The implementation of neural network in SGH formation of SH oil field is given at the end of this paper. The excellent result shows it very effective using BP neural network to predict oil and gas reservoirs.
出处
《地球物理学进展》
CSCD
2002年第1期84-90,共7页
Progress in Geophysics
基金
中国石油天然气总公司 2 0 0 1年青年创新基金