摘要
单纯应用聚类分析划分流动单元容易出现聚类指标的优劣交叉现象 ,从而给流动单元的分类带来困难。为此提出了基于模糊聚类和模糊识别相结合划分流动单元的新方法 ,并以CN油田C9井区流动单元研究为例 ,对两种方法的划分结果进行了对比。结果表明 ,新方法很好地解决了流动单元划分指标的匹配问题 ,同时还可以有效地实施人工干预 ,加入人脑思维信息 ,使分类结果更符合客观实际 ,在油田生产实际中取得了很好的应用效果。
The general fuzzy clustering method used to classify the flow units will cause the mismatch of the clustering parameters with each other. A new method based on combination of the fuzzy clustering and fuzzy recognition methods for classifying the flow units was presented. The application of the new method in C9 well district of CN oilfield shows that this new method can perfectly avoid mismatch of the parameters for classifying the flow units and may be combined with intelligent knowledge. The classification results of the new method will be more agreeable with the production practice.
出处
《石油大学学报（自然科学版）》
CSCD
北大核心
2002年第5期19-22,共4页
Journal of the University of Petroleum,China(Edition of Natural Science)
关键词
模糊聚类
模糊识别法
流动单元
分类法
油田
fuzzy clustering method
fuzzy recognition method
flow unit
classification
