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A new method for obtaining the rock pore structure eigenvalue

机译:一种获取岩石孔隙结构特征值的新方法

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摘要

To obtain the pore structure eigenvalue, the following two methods are usually applied: the graphical method and the trapezoidal method. Both methods have intrinsic disadvantages. For the graphical method, the pore size distribution curve must satisfy the normal distribution and some of the data from the cumulative pore size distribution curve are selected and averaged; this makes the method inflexible and causes inevitable computation errors. For the trapezoidal method, the saturation range is restricted, which causes the obtained results to deviate from the true value. To overcome these disadvantages, we propose a new method that is based on the trapezoidal method. The software 1stOpt is applied to get the capillary pressure function by fitting with the measured data. By substituting the pore radius function derived by the capillary pressure function into the computed formula of the new method, we obtain the pore structure eigenvalues. In comparison to the conventional methods, the results obtained by the new method are closer to the true value because this method takes into account the entire saturation range for integrating. In addition, it can be applied in all kinds of pore size distributions. (C) 2014 Elsevier B.V. All rights reserved.
机译:为了获得孔结构的特征值,通常采用以下两种方法:图解法和梯形法。两种方法都有固有的缺点。对于图形方法,孔径分布曲线必须满足正态分布,并且从累积孔径分布曲线中选择一些数据并取平均值。这使得该方法不灵活,并不可避免地导致计算错误。对于梯形法,饱和范围受到限制,这导致所获得的结果偏离真实值。为了克服这些缺点,我们提出了一种基于梯形方法的新方法。应用1stOpt软件通过拟合测量数据获得毛细管压力功能。通过将毛细管压力函数推导的孔隙半径函数代入新方法的计算公式,可以得到孔隙结构特征值。与传统方法相比,通过新方法获得的结果更接近真实值,因为该方法考虑了积分的整个饱和范围。另外,它可以应用于各种孔径分布。 (C)2014 Elsevier B.V.保留所有权利。

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