利用测井信息求取储层微观孔隙结构特征参数

Using Well Logging Information to Acquire Reservoir Pore Micro structure Characteristic Parameters.

蔡毅，刁玉民．利用测井信息求取储层微观孔隙结构特征参数．测井技术，１９９８，２２（４）：２６１～２６３微观孔隙结构属于特殊岩心分析的研究范畴。许多年来，其研究一直局限于单井有限样品点的分析，无法实现由点（有限井点）到面的突破，即不能进行全局性分析。以微观孔隙结构特征参数——主要孔喉半径为例，尝试利用先进的神经网络技术，建立主要孔喉半径的测井解释模型，并利用该模型对所有井的测井资料进行解释，从而获得了某油田主要孔喉半径的空间分布特征，为油田制定开发措施提供了依据。同时该方法对于储层地质学研究具有很重要的意义。

Pore microstructure research fall into the category of special core analysis. For many years, this research has been confined to the analysis of limited samples from single well, but can not make a breakthrough from point (limited samples) to area. That means it can not be used for overall analysis. In this article the advanced neural network technique is used to establish the well logging interpretation model for the major pore throat radius——one of the pore microstructure characteristic parameters. Using this model, all of the well logging information is interpreted. Finally the spatial distribution of the major pore throat radius is obtained for a certain oil field, providing a basis for the development scheme of the oil field. This method is of great significance for the reservoir geology research.