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现今的天然裂隙储层模拟技术都是建立在连续裂隙模型可离散的基础之上的。更为常用的连续裂隙模型能模拟复杂的开采机理。然而,它是使用一种十分简化的裂隙系统表达式来计算有效裂隙渗透率的。离散裂隙流动方法可以处理复杂的裂隙几何形态。但它的用途一般局限于通过嵌入非渗透性基质中的连通裂隙系统的基本流动计算。我们已研究出一种用于常规模拟程序中网格块有效渗透率的计算技术,这种技术的思想是把由离散裂隙模型中获得的裂隙系统的真实性与由连续裂隙模型提供的流动计算的复杂性结合起来。这种技术发展的最终结果是得到一个基于边界元方法的有效程序,这种程序适用于连通性差的复杂裂隙系统,而且还包括流体通过基质的贡献。对于基质中流体的流动,裂隙被看作是面源分布。流体特性的周期边界条件被用于单个网格块的有效渗透率的计算。我们首先用一种简单的裂隙系统来证实我们方法的正确性,并评价结论对基质和裂隙性质的灵敏度。然后,我们用Mesaverde砂岩的裂隙统计数据从程序中得到的有效渗透率值和连续模拟程序来预测真实系统的示踪剂流动方式。
Today’s natural fracture reservoir simulation techniques are based on the discrete model of a continuous fracture model. The more common continuous fracture model can simulate complex mining mechanisms. However, it uses a very simplified fracture system expression to calculate the effective fracture permeability. Discrete fissure flow methods can handle complex fracture geometry. Its use is generally limited to the calculation of the basic flow through a communicating fracture system embedded in a non-permeable matrix. We have developed a computational technique for the effective permeability of grid blocks in a conventional simulation program that takes into account the authenticity of the fracture system obtained from the discrete fracture model and the flow provided by the continuous fracture model The complexity of the combination. The net result of this technological development is an efficient program based on the boundary element method that is suitable for complex fractured systems with poor connectivity and also includes the contribution of the fluid through the matrix. For fluid flow in the matrix, the fracture is considered as a surface source distribution. Periodic boundary conditions for fluid properties are used for the calculation of the effective permeability of a single grid block. We first confirm the correctness of our method with a simple fracture system and evaluate the sensitivity of the conclusions to the matrix and fracture properties. We then used the effective permeability values from the program to obtain realistic tracer flow patterns using the Mesaverde sandstone fracture statistics and a continuous simulation program.