用分形几何法预测毛管压力曲线

利用分形几何学的原理和方法,实现了利用常规岩心分析资料如孔隙度和渗透率等反演毛管压力曲线(建立孔喉体积分布预测模型),通过实际资料验证,该方法预测结果精度较高。而毛管压力曲线中包含了大量储集层信息,有一系列的地质应用,包括:计算储集层的相对渗透率;计算任意区间渗透率的贡献值;分析评价储集层的非均质性;确定流动孔喉半径下限值;划分储集层与非储集层并对储集层进行定量评价;对油层流动空间的有效性定量评价;计算储集层原始含油饱和度等,为非取心井段的孔隙结构研究及储集层研究与评价开辟了新途径。

Application of Fractal Geometry to Prediction of Capillary Pressure Curves

The principle and method of Fractal geometry can be applied to conventional core analysis, including capillary pressure curves inversed from porosity and permeability data in order to develop the model for prediction of pore throat volume distribution. The real data verify the validity of this method. The capillary pressure curves contain much information about reservoir features, so a series of geologic applications in terms of fractal geometry principle are presented to estimation of reservoir relative permeability; contribution value calculation of arbitrary-interval permeability; evaluation of reservoir heterogeneity; determination of pore-throat radius cutoff; classification of reservoir and non-reservoir and their quantitative evaluations; quantitative evaluation of flowing pore space and its validity, and estimation of initial oil saturation in reservoir, etc. These provide novel ways for study of pore structure at non-coring intervals and evaluation of reservoirs.