核磁共振测井在致密砂岩气层储层分类评价中的应用

致密砂岩气层是目前油气勘探中寻找的重要资源之一，对其进行分类评价是保证评价精度的关键。通过对常规岩心压汞试验以及岩心核磁共振试验数据的分析，建立了横向弛豫时间T2谱转化为毛细管压力曲线的方法模型，提取了与孔喉直径大小和分布有明显关系的排驱压力、饱和度中值毛细管压力、平均孔喉半径作为核磁共振测井分类的变量，运用Kj均值聚类和贝叶斯判别方法建立了L地区核磁共振测井资料的储层分类方法和标准。该方法可以实现按孔隙结构对储层进行连续分类，而且可以推广到没有取心的层段，实际应用效果显著。

Application of NMR Logging in Identification of Tight Sandstone Gas Reservoirs

Currently tight sandstone gas reservoir was one of important resources for oil and gas exploration,its classification was the key to guarantee the accuracy of evaluation.Through the data analysis of conventional core mercury injection experiments and NMR core experiment,a model was established to transform T2 spectrum to capillary pressure curve,and some variables were extracted,such as displacement pressure,capillary pressure of saturation median,average pore throat radius as the variables of NMR logging,K-means clustering and Bayesian discrimination algorithm were used to set up the criterion and method for reservoir classification of NMR logging data in L Area.The method can be deployed for continuous reservoir classification according to the structure of reservoir pore throat,and it can be introduced to the layers without coring,by which obvious effects are obtained in application.