关键词: 微观, 网络模型, 随机模拟, 流动系数

Abstract:

It is the key and also very difficult point to gain flowing parameters of fine reservoir simulation. Based on the hierarchy and textural feature of geological events, stochastic simulation in micro networks is used in this article to acquire the flowing parameters by transforming macro phenomena into a study in micro- mechanism. In the paper, stochastic network model built with oriented percolation is flexible and convenient. Different kinds of pore structures and wettability of sand rock can be easily structured using the stochastic network model. The model can truly present the micro-character of porous media, and it can also be used to simulation flowing parameters quickly and effectively. It has been proved with case study that stochastic simulation in networks is an effective new approach to gain flowing parameter of small dimensions in fine reservoir simulation.

Key words: microcosmic, network model, stochastic simulation, and flowing parameter