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目前储层非均质性的表征主要考虑渗透率这一个因素,衍生出的非均质参数有时会受到平均值、最大值的影响使非均质表征的准确程度降低,为此结合喇萨杏油田20口取芯井资料,基于洛伦兹曲线,引入储层有效厚度,提出储层非均质性表征的新参数一地层系数变异程度,以细分小层为单位,将各小层的地层系数由高到低排序,绘制地层系数贡献率和层数累计百分数的关系曲线,计算的基尼系数即为地层系数变异程度,该参数与级差、突进系数和变异系数相比更加全面的反映了储层的非均质程度,并与储层动用程度成反比.经过实例分析可得,地层系数变异程度对储层动用程度的影响更加显著,该参数与动用程度关系曲线的相关系数为0.855,高于其他非均质参数,当只考虑薄差储层时,相关系数可达0.9866,所以新参数可应用于评价储层的宏观非均质程度,尤其是薄差储层.
At present, the characterization of reservoir heterogeneity mainly considers the factor of permeability, and the derived heterogeneity parameter is sometimes affected by the mean and the maximum, so that the accuracy of heterogeneous characterization is reduced. Therefore, Based on the Lorentz curve, the effective thickness of the reservoir was introduced. Based on the Lorentz curve, a new parameter of reservoir heterogeneity was proposed to describe the degree of variation of the formation coefficient. Based on the subdivision of the sub-layer, The stratigraphic coefficients are sorted from highest to lowest, and the relationship between the contribution rate of stratigraphic coefficient and the cumulative percentage of stratigraphic layers is plotted. The calculated Gini coefficient is the degree of stratigraphic coefficient variation, which is more fully reflected in comparison with the level difference, the coefficient of jerk and the coefficient of variation The degree of heterogeneity of the reservoir is inversely proportional to the degree of reservoir utilization.According to the case study, the influence of the degree of formation coefficient variation on the degree of reservoir utilization is more significant, and the correlation coefficient between the parameter and the degree of utilization is 0.855 , Which is higher than other inhomogeneous parameters. When considering only the thin difference reservoir, the correlation coefficient can reach 0.9866, so the new parameters can be used to evaluate the macro-heterogeneity of the reservoir, especially the thin difference reservoir.