摘要
木文介绍了一种用人工神经网络方法通过综合录井色谱仪对轻质烃气态数据进行在线解释及油气层评价的方法。用３Ｈ轻质烃比值法实现由Ｋｏｈｏｎｅｎ自组织模型对现场数据进行解释，其分类效果较ＢＰ网络符合率高、速度快，非常适用于钻井现场对油气层的快速解释和评价。
This paper presents an ANN Methodapplication at the data explanation of gas-state lighthydrocarbon collected from mud logging unit. Themethod combineing with HAWORTH (3H)method, which is used to explain logging gasostatehydrocarbon data and evaluate oil-gas layers, is fulfilled by Kohonen self-orgnization model. It possesses more high-probability than BO network, andis very suit to wellsite oil-gas explanation.
出处
《石油钻探技术》
北大核心
1995年第4期15-16,共2页
Petroleum Drilling Techniques
关键词
神经网络
数据解释
综合录井
录井
油矿地质
ANN method, Kohonen evaluation, data explanation, 3H method,mud logging unit
