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首页> 外文期刊>Journal of Petroleum Science & Engineering >Scaling laws in network models: porous medium property prediction during morphological evolution
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Scaling laws in network models: porous medium property prediction during morphological evolution

机译:网络模型中的比例定律:形态演化过程中的多孔介质性质预测

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摘要

A 3-D network model was used to represent a porous medium and the macroscopic properities of the network (like permeability)were simulated by Monte Carlo method. It was shown that these macroscopic proprties can be relatd to network parameters(throat-size distribution parameters, network size and connectivity) through power law correlations , as can be inferred from percolation theory. In this way, macroscopic proprties evaluation during the morphological evolution of a 3-D network requires less computational effort, which facilitates the incorporation of this model oil flow simulators
机译:使用3-D网络模型表示多孔介质,并通过蒙特卡洛方法模拟了网络的宏观性质(如渗透率)。结果表明,可以通过幂律相关性将这些宏观属性与网络参数(喉咙大小分布参数,网络大小和连接性)相关联,这可以从渗流理论中得出。这样,在3-D网络的形态演化过程中进行宏观属性评估所需的计算量就更少,这有利于该模型油流模拟器的整合

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