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随机网络模拟研究微观剩余油分布
引用本文:胡雪涛,李允.随机网络模拟研究微观剩余油分布[J].石油学报,2000,21(4):46-51.
作者姓名:胡雪涛  李允
作者单位:西南石油学院,四川南充,637001
摘    要:应用定向渗流理论建立了能表征岩石微观孔隙结构特征及润湿性特征的随机网络模型,从理论上模拟讨论了剩余油的微观组成特征及润湿性对微观剩余油分布的影响,得到了与微观实验一致的模拟结果。模拟结果表明,在剩余油中,不同大小的徽观剩余油液滴的组成和分布具有一定的统计特征和规律性,单、双液滴的频数组成较高,大尺寸液滴数目较少;但是,驱替效率较低时,数量微小的大尺寸液滴在剩余油总量中的比例不可忽视,甚至可能是剩余油的主要部分。结果证实,随机网络模拟速度快、所受条件限制少,并能直观地再现动态的微观驱替过程及剩余油的微观分布状况,为微观剩余油提供了一种方便、灵活的研究手段。

关 键 词:剩余油  分布  微观  网络模型  随机模拟
收稿时间:1999-5-31
修稿时间:1999-05-31

STUDY OF MICROCOSMIC DISTRIBUTION OF RESIDUAL OIL WITH STOCHASTIC SIMULATION IN NETWORKS
HU Xue-tao,Li Yun.STUDY OF MICROCOSMIC DISTRIBUTION OF RESIDUAL OIL WITH STOCHASTIC SIMULATION IN NETWORKS[J].Acta Petrolei Sinica,2000,21(4):46-51.
Authors:HU Xue-tao  Li Yun
Abstract:Based on oriented percolation, this article is focused on construction of stochastic network model, which can truly charac-terize the features of pore structure and wettability of sand. With this kind of model, the microcosmic composition and distribu-tion of residual oil is then simulated theoretically. And the effects of wettability on the micro-distribution of residual oil are alsosimulated and discussed with the help of the network model. The results of simulating with the model are quite consistent withthe results of microcosmic experiment. It has been found with network simulation that within residual oil the microcosmic com-position and distribution of oil blobs with various sizes have some statistic character. That means generally the single and doubleblobs are in ma jority but only a few large size blobs in residual oil. However, the amount of the large size blobs could be the ma-jor part ln residual oil, especially with a low oil recovery. It is also proved that stochastic network simu1ation is quite fast andless restricted by conditions, and that the way can reveal a visible picture about the changeable processes of micro-displacementand the micro-distribution of residual oil. Therefore, stochastic network simulation could be a flexible and convenient methodused for research of the microcosmic features of residual oil.
Keywords:residual oil  distribution  microcosmic  network model  stochastic simulation
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