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密度测井值能否有效地表征煤岩的真实密度将直接决定着煤层气储层参数测井评价的精度.采用统计方法对研究区三个主力煤层的密度测井响应特征和扩径率进行了分析,查明了扩径率与密度测井响应的内在关系,得到扩径影响是造成密度测井响应值失真的主要原因.深入剖析了现有密度测井的扩径影响校正方法,发现在煤层气储层中适用性相对较低.根据煤岩实测视相对密度、密度测井值和井径测井等资料,采用最小二乘法拟合得到的密度测井扩径影响校正模型.将本文所构建的密度测井扩径影响校正模型应用于鄂尔多斯盆地东部韩城气田煤层气储层计算机自动校正处理中,校正结果与实测相对视密度非常接近,说明该方法能够有效地提高密度测井扩径影响的校正精度.
Density logging can effectively characterize the true density of coal and rock will directly determine the parameters of CBM logging evaluation accuracy.Statistical methods of the three main coal seams density logging response characteristics and diameter expansion rate The main reason for the distortion of density logging response is obtained.It is found that the effect of diameter expansion is the main reason for the distortion of density logging response.It is found that The applicability in CBM reservoirs is relatively low.According to the measured data of relative density, density logging and borehole logging, the least squares method is used to fit the density logging expansion effect correction model. The correction model of density logging expansion effect constructed in this paper is applied to the computer automatic correction of CBM reservoirs in the Hancheng gas field in the eastern Ordos Basin. The calibration results are very close to the measured relative apparent densities, indicating that this method can effectively improve the density logging Expansion of the impact of the correction accuracy.