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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。
It is usually difficult to determine the boundary value of different reservoirs by the reservoir quality factor RQI. K-means clustering is a good solution to this problem. The RQI cumulative curve also confirms the accuracy of the classification boundary classification. According to the actual reservoir data in the study area, the coincidence rate of classification is as high as 96%, indicating the validity of classification and achieving good application results in actual production.