摘要
自然多孔介质的微观结构决定了其储集性能和输运属性,精确描述多孔介质微观结构是实现资源发掘及储层产能定量评估的重要前提。本文首先基于分形拓扑理论和四参数随机生长方法四参数随机生长算法构建随机多相自相似多孔介质模型,并采用格子Boltzmann方法(LBM)对孔隙中气体单相流的运移过程开展数值模拟研究,分析了P和F对煤岩介质孔渗关系的影响作用。结果表明多孔介质的孔隙度与渗透率之间满足指数关系,且随着P、F的变化而改变;P和F的变化对渗透率影响显著。
The microstructure of natural porous media determines its reservoir performance and transport properties.Accurate description of microstructure of porous media is an important prerequisite for resource exploration and quantitative evaluation of reservoir productivity.Based on this,this paper firstly constructs a generalized random multiphase self-similar porous media model by means of fractal topology theory and QSGS(quartet structure generation set) four-parameter random growth algorithm.Then,lattice Boltzmann method(LBM) was used to simulate the migration process of gas single-phase flow in the pores,and based on the numerical simulation results,the influence of P and F on the pore-permeability relationship of coal and rock media was analyzed.The results show that the change of P and F has obvious influence on the permeability.The relationship between porosity and permeability of porous media is exponential and changes with the change of P and F .
作者
张朔
刘顺喜
金毅
ZHANG Shuo;LIU Shunxi;JIN Yi(Institute of Resource and Environment,Henan Polytechnic University,Jiaozuo 454003,China;Collaborative Innovation Center of Coalbed Methane and Shale Gas for Central Plains Economic Region,Jiaozuo 454003,China)
出处
《中国矿业》
北大核心
2019年第A01期331-335,339,共6页
China Mining Magazine
