摘要
作者通过对大量毛管压力资料的分析,找出了毛管压力曲线形态和类型的控制因素,并提出了利用渗透率和综合物性指数连续构造毛管压力曲线的新方法。通过压汞实验验证了新方法的准确性。考虑到毛管压力资料是非常有限的这一问题,提出了从NMR T2分布中获取Swanson参数进而得到储层渗透率的新方法,结合NMR总孔隙度,可以在有NMR测量数据的井段连续地构造出毛管压力曲线用以评价储层的孔隙结构。最后,列举了利用新方法构造的毛管压力曲线评价储层孔隙结构的应用实例,证实本文提出的新方法在连续评价储层孔隙结构方面是有效的和可靠的。
By analyzing hundreds of capillary pressure curves, the controlling factors of shape and type of capillary pressure curves are found and a novel method is presented to construct capillary pressure curves by using reservoir permeability and a synthesized index. The accuracy of this new method is verified by mercury-injection experiments. Considering the limited quantity of capillary pressure data, a new method is developed to extract the Swanson parameter from the NMR T2 distribution and estimate reservoir permeability. Integrating with NMR total porosity, reservoir capillary pressure curves can be constructed to evaluate reservoir pore structure in the intervals with NMR log data. An in-situ example of evaluating reservoir pore structure using the capillary pressure curves by this new method is presented. The result shows that it accurately detects the change in reservoir pore structure as a function of depth.
