【摘要】 以张天渠油田为例,应用微观随机网络模拟法获得毛细管压力曲线和微观孔隙结构参数。基于渗流理论建立的微观随机网络模型,能方便快捷地构建出储层孔隙结构特征和润湿性特征,较好地表征多孔介质的微观静态特性,是一种获取渗流参数的有效方法,该方法可为油藏数值模拟提供可靠依据。更多还原

【Abstract】 Through a case study of Zhangtianqu Oilfield this paper obtains the capillary pressure curve and microcosmic pore structure parameters using microcosmic network stochastic simulation.In this paper, a stochastic network model built with percolation mechanism is flexible and convenient.The characteristics of pore structures and wettability of reservoir can be easily and quickly constructed using the stochastic network model.This model can truly present the micro-character of porous media.It is an effective new approach to gain flowing parameters and it can also provide an incumbent gist for oil reservoir numeric simulation.更多还原