论文详情
用多种地震信息预测油气的自组织人工神经网络模型
石油物探
1994年 33卷 第No. 2期
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Title
Self-organized artificial neural network model for oil/gas prediction using various seismic information
单位
中国科学院上海冶金研究所, 上海200050
Organization
Shanghai Research Intitute of Smelting, China Academy of Scicnces, Shanghai City, Internal Postcode:200050
摘要
本文提出了油气预测的自组织人工神经网络模型, 并选取一组标样作为研究对象, 预测成功率达100%。结果表明, 本方法性能良好, 可望成为利用地震信息预测油气的一种有效辅助手段。
Abstract
This paper presents a so-called self-organized artificial neural netxvork model for oil /gas predietion,which has been applied to a set of sclected samp1es in 100% prediction rate of success.The results show that the method behaves well, which means a brilliant future for the method to be a Supplementary means for oil /gas prediction using seismic information.
关键词:
地震信息;
油气预测;
人工神经网络;
自组织模型;
Keywords:
Seismic Information. Oil/Gas Prediction;
Artificial Neural Network. Self-Organized Model;