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应用测井确定储层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，首次探讨了应用测井确定储层敏感性的问题。从测井信息中提取的石英骨架、长石骨架、岩屑骨架、泥质、蒙脱石、绿泥石、伊利石、高岭石、粒度中值、地层水总矿化度、综合物性参数、孔隙度、渗透率、毛细管半径中值等１４个参数，经过岩心标定（即测井建模）后，都可由测井信息连续处理获得。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，提出了理论排序表，并提出了单相关系数加权的方法来实现由测井预测储层敏感性。应用该方法对我国西部某油田进行了实际处理分析，结果表明由测井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。它对指导探井泥浆配方设计、及时发现有工业价值的油气层和及时进行油气层保护有重要意义。
Application of logging to determine reservoir sensitivity is a new topic. On the basis of various core analysis data such as thin slice, casting thin slice, particle size, mercury intrusion, X-ray diffraction, scanning electron microscope, physical property and sensitive flow experiment, we first discussed the application of logging to determine reservoir sensitivity. Quartz skeleton, feldspar skeleton, lithic skeleton, argillaceous, montmorillonite, chlorite, illite and kaolinite extracted from well logging information, median grain size, total salinity formation water, comprehensive physical property parameters , Porosity, permeability, median of capillary radius and other 14 parameters, after core calibration (ie, logging modeling), can be obtained by continuous logging information processing. Based on these parameters, a single correlation analysis of reservoir sensitivity and each parameter is made, and a theoretical ranking table is proposed. A single correlation coefficient weighting method is proposed to predict the reservoir sensitivity by logging. The practical treatment analysis of a field in western China using this method shows that the results of sensitive flow, water sensitivity, salt sensitivity, soil acid sensitivity and alkali sensitivity obtained by the continuous logging processing basically agree with the experimental results of sensitivity flow in this area. It is of great importance to guide the design of the well drilling mud slurry, discover the oil and gas layers with industrial value in time and protect the oil and gas layers in time.