储集层中黏土矿物的类型和含量对储集层敏感性的影响非常大。利用测井资料预测储集层敏感性,首先要采用多种方法处理测井基础数据,建立各储集层敏感性参数模型。在大港油田的储集层敏感性预测中,根据实际地质情况,利用自然伽马能谱测井确定黏土矿物的类型及含量,利用统计回归方法来求取其它敏感性参数;在此基础上,对各储集层敏感性参数进行单相关分析,归纳出各参数与水敏、速敏、盐敏、碱敏、土酸酸敏伤害的等级关系;然后剔除相关性较差的参数,将所得的各参数相关系数加权,得出目的层敏感性预测标准。对大港油田官104地区储集层敏感性预测的实验结果验证了该方法的有效性。图4表5参8 The type and amount of clay minerals in the reservoir have a significant effect on reservoir sensitivity. Using well logging data to predict reservoir sensitivity, we must first use a variety of methods to process well logging basic data and establish reservoir sensitivity parameter models. In the prediction of reservoir sensitivity in Dagang Oilfield, the type and content of clay minerals are determined by natural gamma ray spectrometry according to the actual geological conditions, and other sensitivity parameters are obtained by statistical regression method. On this basis, Single correlation analysis was made on the sensitivity parameters of each reservoir, and the hierarchical relationship between each parameter and water sensitivity, speed sensitivity, salt sensitivity, alkali sensitivity, and acid-acid sensitivity damage was summarized. Then the parameters with poor correlation were excluded, The correlation coefficient of each parameter is weighted to get the target layer sensitivity prediction standard. Experimental results on reservoir sensitivity in Guan 104 area of ​​Dagang Oilfield validate the effectiveness of this method. Figure 4 Table 5 参 8