毛管压力曲线和分形理论在储层分类中的应用

应用MIFA方法计算了大庆油田M区块某检查井21块岩样的分形维数,并应用分形维数大小将储层划分为三大类,同时又应用毛管压力曲线形态分类方法对储层进行了分类.结果表明：应用毛管压力曲线形态和利用分形维数对储层分类的结果一致;同一类别的储层不仅毛管压力曲线形态相近而且储层微观参数也相近,且随着分形维数的增大,储层的物性变差,尤其是储层的非均质性变强.通过统计21块样品的水洗程度,发现分形维数越大,样品的水洗程度越弱,也进一步验证了分形维数越大,储层的物性越差和非均质性越严重.

Application of capillary pressure curves and fractal theory to reservoir classification

This paper used the MIFA method to calculate the fractal dimension of 21 samples of an inspection well in M block of Daqing Oilfield, and applied the fractal dimension to divide the reservoir into three types, meanwhile used the capillary pressure curves to carry out the reservoir classification. The results show that the reservoir types classified by the two methods are similar. For the same type of reservoir, not only the capillary pressure curve is similar, but also the micro reservoir parameters are similar. The higher the fractal dimension is, the poorer the reservoir properties of reservoir are, and especially the reservoir heterogeneity is stronger. Through the statistical research of the washing degree of 21 samples, we found that the higher the fractal dimension is, the weaker the washing degree is. And it also further verified the previous conclusion that the higher the fractal dimension is, the poorer the reservoir properties are and the stronger the heterogeneity is.