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通过将已发现的低电阻率油层其主要测井特征值作为标准样本进行砂层测井聚类后发现,该方法对英台地区低阻油层具有很高的识别率,主要原因是高台子-尔图油层的沉积背景为低角度浅水湖泊三角洲,地形坡度仅有1°左右,沉积速率稳定,沉积物粒度整体偏细且地层横向分布非常稳定,岩石骨架结构横向和纵向变化均比较缓慢,这种地质背景决定了测井特征聚类判别方法对本区的低阻油层具有较高的识别率,而且在聚类过程中除了电阻率外还可以使用其他多种测井特征来作为参考因子。使用该方法,用已有的低阻油层测井特征值做为参考样本,在英台地区识别出了一批被漏判的低电阻率油层。
By clustering the sandstone logs using the main logging characteristic values of the discovered low resistivity oil reservoirs as the standard samples, it is found that this method has a high recognition rate for the low resistivity oil reservoirs in the UK and Taiwan. The main reason is that the high- The sedimentary background of the Ertu reservoir is a low-angle shallow lacustrine delta with a gradient of about 1 ° on the topography. The deposition rate is stable. The grain size of the sediment is generally thin and the horizontal distribution of the formation is very stable. The horizontal and vertical changes of the rock framework are relatively slow The geological background determines that the logging clustering method has a high recognition rate for the low resistivity reservoir in this area, and besides the resistivity, a variety of other logging features can be used as a reference factor in the clustering process. Using this method, using the existing logging data of low resistivity oil layers as a reference sample, a number of low resistivity oil reservoirs were identified in Yingtai area.