引用本文:
【打印本页】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览次   下载 本文二维码信息
码上扫一扫!
分享到: 微信 更多
Finite volume modeling method for random process of dispersive flow in porous media
WANG Changjiang1, JIANG Hanqiao1, QIN Shenggao2, LI Junjian1
(1.College of Petroleum Engineering in China University of Petroleum, Beijing 102249, China;2.Petroleum Engineering College of Northeast Petroleum University, Daqing 163318, China)
Abstract:
A dispersion model with adsorption was derived by finite volume modeling method. It can be simplified to the HLL model and further to the ideal model under certain conditions, of which the physical meanings were analyzed also. Compared with the process of derivation by Markov method, the finite volume modeling method was developed based on statistical mechanism of random processes for the model construction and simplification conditions. In the two methods, the spatial derivative of the drift variable matches along with the particle adsorption item of the convective flux while the spatial derivative of the dispersive variable matches along with the particle adsorption item of the dispersive flux. The results indicate that the bigger the infiltration coefficient, the higher the particle concentration and the larger the dispersion ratio, then the greater the probability density of the particles to be adsorbed. The shorter the sample route of the dispersive particles, the greater the probability density of the particles to be adsorbed.
Key words:  finite volume modeling method  convective dispersion equation  Markov method  particle retention