摘要
为了克服测井解释中通常采用的最大隶属原则进行决策分析导致信息丢失所引起的判别结果的偏差，将模糊数学中的非对称贴近度分析法与神经网络结合起来，充分利用各分量信息建立了一种基于模糊贴近度的神经网络识别法。通过临盘油田实际资料解释表明，在储层识别中采用该方法可大大改善解释效果。
A neural network recognition method is established based on fuzzy closeness degree by combination of non-symmetric closeness degree in mathematics and neural network to overcome deviated interpretation which is resulted from losing information when tactics analysis is conducted by the maximum belonging rules in well logging interpretation. Practical interpretation of ling pan oilfield indicates the method will greatly improve the effect of interpretation
出处
《西南石油学院学报》
CSCD
1999年第4期46-49,共4页
Journal of Southwest Petroleum Institute
