低渗砂岩储层测井解释优化新模型

A new model of well logging interpretation optimization in low permeability sandstone reservoirs

低渗透油气藏地质特征和岩石物理特性复杂常常导致测井曲线上计算的含油饱和度准确性低。通过实验分析方法，研究影响测井解释不同因素（储层物性、地层因素、岩性指数、饱和度指数）之间的关系，分段给定阿尔奇参数，优化测井解释模型，实现了测井解释中含油饱和度计算参数的自动连续给定，与传统参数法比较，在不同孔隙度地层应用了更合理的参数，在一定程度上适应了岩石孔隙结构的多变，有利于提高含油饱和度计算精度。

Complex geological characteristics and petrophysical properties of low permeability reservoirs often lead to the low accuracv of oil saturatiun calculated with well logging curves. The relationship between the various factors （reservoir properties, formation factors, lithulogy index, and saturation index） that affect the logging interpretation is studied through experimental analysis method. The Arehie parameters are segmentally given to optimize well logging interpretation models. The automatic, and continuous given of the parameters used to calculate the oil saturation in the logging interpretation is realized. Compared with the traditional parameter method, more reasonable parameters are applied to various porosity formations. They adapted to some extent to the multiple variation of rock pore structure, and are beneficial to improve the accuracy of oil saturation calculation.