Predicting Hydraulic Properties from Pressure-Saturation Curves

Hunt 0609884压力-饱和度曲线揭示了多孔介质中孔径分布的信息，但由于滞后和缺乏平衡，这些数据的解释可能会变得复杂。缺乏平衡通常是干燥条件下低水力传导率K的结果。低K值可以预测的框架内的渗流理论使用的一般结果，即饱和度降低流量跨越从孔径占主导地位（关键路径分析）的连通性占主导地位（渗流缩放）。虽然这种分析已经进行了分析，为一个特定形式的孔径分布（分形），拟议的工作将执行一般（数值）分析，使用任意的保水曲线作为输入。一个自洽的程序帐户的复杂性，从下降的平衡在低水分含量。输出为孔径分布和导水率。颗粒尺寸分布的补充输入将进一步确认孔径分布，并用于计算比表面积，这与渗滤的临界含水量有关。

Hunt 0609884Pressure-saturation curves reveal information about the pore size distribution in porous media, but interpretation of these data can be complicated through hysteresis and lack of equilibration. Lack of equilibration is often a consequence of low hydraulic conductivity, K, under dry conditions. Low values of K can be predicted within the framework of percolation theory using a general result that as saturation is reduced flow crosses over from pore-size dominated (critical path analysis) to connectivity dominated (percolation scaling). Although this analysis was already performed analytically for a particular form of the pore size distribution (fractal) the proposed work will perform general (numerical) analysis using an arbitrary water retention curve as input. A self-consistent procedure accounts for complications from falling out of equilibrium at low moisture contents. The outputs are the pore-size distribution and the hydraulic conductivity. Supplemental inputs from part icle size distributions will give additional confirmation of the pore size distribution and also be used for calculation of the specific surface area, which is relevant to the critical moisture content for percolation.