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以往由于受到实验分析手段的限制,对三水模型中定义的自由流体孔隙和微孔隙缺乏真正意义上的定量描述,因而在确定两部分孔隙的岩电参数时,多采用岩心数据回归分析的方法。针对26块泥质含量较少的低孔低渗砂岩岩心,在不考虑粘土孔隙的情况下,利用T2谱分布定量计算每块岩样的自由流体孔隙和微孔隙大小,结合岩电实验数据,采用遗传最优化算法求解新三水模型中两部分孔隙的岩性系数和胶结指数。对比26块岩样100%饱含水条件下的R0计算结果,遗传最优化算法与回归分析方法相比误差更小。
In the past, due to the limitations of experimental analysis, the definition of free-flowing pores and micropores in the Sanshui model lack of a true quantitative description, so in determining the two parts of the pore electrical parameters, the use of core data regression analysis . Aiming at 26 low-porosity and low-permeability sandstone cores with low shale content, the free-flowing porosity and micropore size of each rock sample were quantitatively calculated by using the T2 spectral distribution without considering the clay porosity. Combined with the experimental data of rock electrical experiments, The genetic optimization algorithm is used to solve the lithology and cementation index of two parts of pores in the new Sanshui model. Comparing the R0 calculation results of 26 rock samples under 100% water saturation, the genetic algorithm has less error compared with the regression analysis method.