无孔隙度测井条件下储层孔隙度求取方法探讨

针对缺乏孔隙度测井系列的井区, 利用标准测井资料, 通过“岩心刻度法”可建立起测井孔隙度解释模型, 常见的有采用自然电位减小系数和视电阻率建立的2 种孔隙度模型。通过利用泥质含量参数建立的孔隙度模型与这2 种模型的对比研究, 发现泥质含量孔隙度模型计算出的孔隙度与岩心分析孔隙度吻合程度更高, 其平均绝对误差为0.162, 平均相对误差为5.934%。因此认为: 在研究区, 利用泥质含量孔隙度测井解释模型计算储层孔隙度相对更精确, 从而实现利用标准测井资料分析评价储层及定量计算储层参数的目的, 为研究区在缺乏孔隙度测井资料条件下定量求取储层参数提供了一种可行的方法。

Methods of calculating porosity without logging porosity data

Aiming at the well fields without logging porosity data, we can use type log data to establish porosity interpretation model through core scaling method. There are two common porosity models which are established by SP reduction factor and apparent resistivity. After comparing these two models with the model established by shale content parameters, we found that porosity calculated by shale content porosity model is relatively more coincided with the porosity that calculated by core analysis and its mean absolute deviation is 0.162, while the mean relative deviation is 5.934%. So it is believed that applying shale content porosity interpretation model to calculate reservoir porosity is relatively more accurate in the study area. Thereby, a feasible method is supplied to evaluate reservoir and quantitatively calculate reservoir parameters by using type log data.