Core analysis - theory and practice

近二十年来，这项工作的长期目标保持不变：建立一个预测多孔介质中宏观输运现象的理论框架。该概念基于以下基本假设：存在少量基本孔隙水平参数（例如，孔隙尺寸分布和连通性参数以及润湿性），如果已知这些参数，则可以计算诸如孔隙度、渗透率、Klinkenberg和Forchheimer系数、电导率、毛细管压力和相对渗透率等输运性质。通过开发用于计算的理论模型和用于测量那些容易测量的性质的精确实验程序（例如，孔隙度、渗透率、Klinkenberg和Forchheimer系数以及电导率），应该可以从测量的传输特性计算孔隙水平参数。一旦这些孔隙水平参数是可用的，其余的参数（如毛细管压力和相对渗透率），这是更难以测量可以从理论模型计算。人们认识到，这种模式在不久的将来仍将是近似的。因此，目的不是取代实验，而是提供一种保证实验结果质量的机制。

The long-term objectives of the work have remained the same for almost two decades: to develop a theoretical framework for the prediction of macroscopic transport phenomena in porous media. The concept is based on the fundamental assumption that there exist a small number of basic pore level parameters (e.g. pore dimension distribution and connectivity parameters, and wettability) which, if known, would allow the calculation of transport properties such as porosity, permeability, Klinkenberg and Forchheimer coefficients, electrical conductivity, capillary pressure, and relative permeability. By developing theoretical models for the calculation of and accurate experimental procedures for the measurement of those properties that are easily measured (e.g., porosity, permeability, Klinkenberg and Forchheimer coefficients, and electrical conductivity), it should be possible to calculate the pore level parameters from the measured transport properties. Once these pore level parameters are available, the remaining parameters (e.g. capillary pressure and relative permeability) which are much more difficult to measure can be calculated from the theoretical models. It is recognized that such models will remain approximate in the immediate future. Therefore, the purpose is not to replace experiments but to provide a mechanism to quality-assure the experimental results.