摘要
通过双河油田上倾尖灭区低胆油层的研究，探讨了多种识别低阻油层的方法。提出了“概念识别－φ－Sw图版识别－BAYES多组判别、神经网络模式识别”这样一套由简单到复杂，多层次、多种数学手段相互补充的识别方法，使该区低阻油层的解释符合率达到80％以上，也为评价和识别同类油层提供了方法和依据。
On the basis of study of the low resistivity reservoirs in Shuanghe oilfield, this paper presents a suit of multilevel identification methods which includes'conceptual identification - φ - Sw chart board identification - BAYES multigroup discrimination - neural network mode identification'.The interpretation coincidence rate of thlow resistivity reservoirs in this oil field reaches 80% by use of these methods.
出处
《河南石油》
1998年第5期8-11,共4页
Henan Petroleum
关键词
低电阻率油层
油层识别
神经网络
油气勘探
Low resistivity reservoir, Identification method,Concept, Chart board, Neural network, (Multigroup identification)
