摘要
利用储层品质因子RQI进行分类评价时不同储层界限值通常难以确定,利用K-均值聚类很好的解决了这一问题,RQI累计曲线也证实了分类界限划分的准确性。针对研究区实际储层资料,分类符合率高达96%,表明了分类的有效性,在实际生产中取得了很好的应用效果。
When reservoir classification evaluation is carried out, it is usually hard to determine the threshold value of different reservoirs with reservoir quality factor RQI. K-average value clustering can solve this problem. RQI cumulative curve also verify the accuracy of classification boundary division.The coincidence rate reaches to 96% according to the data of the region of interest. It is available and has got good result in real production.
出处
《国外测井技术》
2012年第4期11-13,3,共3页
World Well Logging Technology
关键词
储层品质因子
K-均值聚类
模糊聚类
储层分类
reservoir quality factor
K-average values clustering
fuzzy clustering
reservoir classification
