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应用测井资料确定储层岩性、物性是个基本问题，但确定敏感性是一个全新的课题。在收集薄片、铸体薄片、粒度、压汞、Ｘ－衍射、扫描电镜、物性、敏感性流动实验等各种岩心分析资料的基础上，首次探讨了如何应用测井资料确定储层敏感性的问题。从测井资料中提取了１４个岩性、物性参数。以这些参数为基础进行了储层敏感性与各参数的单相关分析，提出了单相关系数加权的方法来实现由测井资料预测储层敏感性。应用文中提出的方法对中国西部某油田进行了实际处理分析，结果表明由测井资料连续处理得到的速敏、水敏、盐敏、土酸敏和碱敏结论与该地区的敏感性流动实验结果基本吻合。主题词：测井数据预测岩性物理性质碎屑岩矿物分析地层参数粘土组分敏感性
Logging data to determine reservoir lithology, physical properties is a basic problem, but to determine the sensitivity is a new topic. On the basis of various core analysis data such as thin slice, cast thin slice, particle size, mercury intrusion, X-ray diffraction, scanning electron microscope, physical property and sensitive flow experiment, we first discussed how to use well logging data to determine reservoir sensitivity problem. We extracted 14 lithology and physical parameters from well logging data. Based on these parameters, a single correlation analysis of reservoir sensitivity and each parameter is carried out. A single correlation coefficient weighting method is proposed to predict the reservoir sensitivity from well logging data. The method proposed in this paper is used to analyze the actual treatment of a field in western China. The results show that the results of sensitive flow, water sensitivity, salt sensitivity, soil acid sensitivity and alkali sensitivity obtained from continuous processing of well logging data are consistent with the experimental results Basically consistent. Subject terms: Logging data Prediction Lithology Physical properties Clastic rock Mineral analysis Formation parameters Clay composition Sensitivity