多孔砂岩毛细管系数与吸水性系数关系的非规则管束分形预测模型

    A fractal irregular bundle-of-tubes model estimating the relationship between the capillary coefficient and sorptivity coefficient in porous sandstones

    • 摘要: 天然岩石是一类典型多孔介质,其内部润湿锋动态迁移过程是众多岩石力学与工程中所关注的科学问题。岩石内部水分迁移过程是一个黑箱,常规实验很难观测到这一现象。因此,建立含水率与润湿峰动态演化的定量关系显得极为必要。将多孔介质孔隙结构简化为迂曲的毛细管束,应用分形几何理论以及流体力学理论,建立了描述毛细管系数与吸水性系数之间定量关系的非孔喉以及孔喉数学模型。同时,以先进中子成像实验监测5种不同类型砂岩吸水润湿锋随时间动态演化规律,以此对模型进行验证。研究结果表明:1)本分形几何模型相比文献已有模型预测精度一定程度得到改善,对5种砂岩预测相对误差平均为41.5%;2)砂岩以及石灰岩类多孔介质整体上表现出毛细管系数与吸水性系数比值平方有随孔隙增大而呈现幂函数增大的趋势,本模型预测结果与该经验拟合较为接近;3)砂岩类多孔介质孔隙度小于17%,其毛细管系数与吸水性系数比值平方随孔隙度增大呈现幂函数增大趋势,孔隙度大于17%,随孔隙度增大呈现幂函数减小趋势;4)砂岩类多孔介质渗透率小于141 mD,其毛细管系数与吸水性系数比值平方随渗透率增大呈现幂函数增大趋势,渗透率大于141 mD,随渗透率增大呈现幂函数减小趋势。非孔喉模型对某些岩石预测结果偏高实验或偏低实验,并没有表现出孔隙几何形状的影响,而孔喉模型中孔喉比与纵向长度比影响毛细管系数与吸水性系数比值,一定程度可以揭示非孔喉模型偏离实验的原因。

       

      Abstract: Natural rock as a typical type of porous medium, quantifying the dynamic migration of internal wetting fronts is a scientific issue prevailing in rock mechanics and engineering. The process of water migration inside rocks is represented by a black box, and it is difficult to observe this phenomenon in conventional experiments. Therefore, it is extremely necessary to establish a quantitative relationship between the moisture content and the dynamic evolution of the wetting front. Porous medium been simplified into tortuous capillary bundles, a mathematical model including pore-throat and without pore-throat is constructed to describe the quantitative relationship between the capillary coefficient and sorptivity coefficient by applying fractal geometry and fluid mechanics. Meanwhile, advanced neutron imaging experiments are used to monitor the dynamic evolution of wetting front over time for 5 different types of sandstones, thereby verifying the models. These research results are concluded as follows: 1) Compared with the existing model, the prediction accuracy of this fractal geometric model has been improved to a certain extent, and the average relative error of its prediction is 41.5% for five various sandstones; 2) For these porous media such as sandstones and limestones, the square of the ratio of capillary coefficient to sorptivity coefficient shows a increasing trend with increasing porosity as its power function, and these values predicted by this model are closer to the empirical fitting that; 3) When the porosity of sandstone-based porous media is less than 17%, the square of the ratio indicates increasing trend as a power function with the increase of porosity, and when their porosities are greater than 17%, it decreases with the increasing porosity; 4) When the permeability of sandstones is less than 141 mD, the square of the ratio increases with the increase of their permeability as a power function, and it decreases with increasing permeability for sandstones having permeability greater than 141 mD. These results predicted by the non-pore-throat model which does not show the influence of pore geometry are either higher or lower compared to experiments for certain rocks. However, the pore-throat ratio and the longitudinal length ratio in pore-throat model affect the ratio of capillary coefficient to sorptivity coefficient, which to a certain extent can reveal the reasons for the deviation of non-pore-throat model from the experiments.

       

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