首页 | 本学科首页   官方微博 | 高级检索  
     检索      

多孔介质模型的三维重构方法
引用本文:王波,宁正福,姬江.多孔介质模型的三维重构方法[J].西安石油大学学报(自然科学版),2012,27(4):54-57,61,116.
作者姓名:王波  宁正福  姬江
作者单位:1. 中国石油大学(北京)石油工程学院,北京,102249
2. 西安石油大学地球科学与工程学院,陕西西安,710065
基金项目:教育部科学研究重大项目"页岩气流动机理与产能预测模型研究"
摘    要:建立准确的多孔介质模型在微观渗流机理的研究中具有重要意义.为了更加方便准确地建立多孔介质模型,总结了多孔介质模型重构的物理实验方法和数值重构方法,通过重构方法的优缺点对比及适用性分析,优选出马尔可夫链-蒙特卡洛方法(MCMC).针对3种不同性质的多孔介质,采用MCMC方法分别对其进行了重构.结果表明,MCMC方法计算速度快,适用范围广泛,重构效果好.最后将MCMC方法扩展到三维空间,重构出三维多孔介质模型,为微观渗流机理的研究提供了一个模拟平台.

关 键 词:多孔介质  数值重构  随机生长  马尔可夫链-蒙特卡洛

Study on 3D reconstruction methods of porous medium model
WANG Bo,NING Zheng-fu,JI Jiang.Study on 3D reconstruction methods of porous medium model[J].Journal of Xian Shiyou University,2012,27(4):54-57,61,116.
Authors:WANG Bo  NING Zheng-fu  JI Jiang
Institution:1.Faculty of Petroleum Engineering,China University of Petroleum(Beijing),Beijing 102249,China;2.College of Earth Science and Engineering,Xi’an Shiyou University,Xi’an 710065,Shaanxi,China)
Abstract:Establishment of exact porous medium model will be important to the study of percolation mechanism in porous medium.In order to conveniently and exactly establish the porous medium model,the reconstruction methods of porous medium were classified into two categories: physical test methods and numerical reconstruction methods.Through the comparison and applicability analysis of the reconstruction methods,it is held that Markov Chain-Monte Carlo method(MCMC) is the best.MCMC method was used to reconstruct three 2D porous media.The 2D reconstruction results indicate that the MCMC method has the advantages of high computation speed,wide application scope and satisfied reconstruction result.At last,the application of MCMC method is extended to three-dimensional space,and a three-dimensional model of porous medium was reconstructed,which provides an effective simulation method for studying micro percolation mechanism in porous medium.
Keywords:porous medium  numerical reconstruction  random growth  Markov chain-Monte
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号