亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Improvement of Sweep Efficiency of Miscible Displacement Processes in Heterogeneous Porous Media

作者
Mozhdeh Sajjadi,Jalel Azaiez
标识
DOI:10.2118/170155-ms
摘要

Abstract The viscous fingering phenomenon in displacement processes develops due to higher mobility of the injected fluid compared to that of the inhabitant fluid. It causes early breakthrough of the injected fluid and results in reduced sweep efficiency of the process. In addition to viscous fingering, heterogeneity of the porous medium can be a source of instability in displacement processes which has significant interactions with the viscous forces. The coupling between viscous fingering and heterogeneity induced channeling has been deemed to enhance the instabilities by increasing the growth rate of fingers formed inside the high permeable channels. This conclusion is questioned by the present work which investigates the effect of the injection velocity, diffusion coefficient, and width of the layers in a layered medium, on the coupling between the two named sources of instability. Numerical simulations and quantitative analysis of the instabilities show that the flow in heterogeneous media goes through four different regimes (initial diffusion, channeling, lateral dispersion, and viscous fingering) each dominated by a different flow mechanism that results in different growth rates of fingers. Based on these characterizations a method is suggested to design the process with an optimum injection rate such that the coupling between viscous fingering and heterogeneity attenuates the instability and results in improved sweep efficiency. Finding the optimum displacement parameters and improving the efficiency of the process helps to reduce the amount of solvent to be injected in the medium and therefore decreases the environmental effects of the recovery process.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Dima发布了新的文献求助10
9秒前
研友_LwX5Kn完成签到,获得积分10
12秒前
隐形曼青应助唔昂wang采纳,获得10
39秒前
DDD完成签到 ,获得积分10
41秒前
英姑应助richadowei采纳,获得10
48秒前
48秒前
赘婿应助金jin采纳,获得10
50秒前
Dima发布了新的文献求助10
51秒前
唔昂wang发布了新的文献求助10
51秒前
andykhoo2007完成签到,获得积分10
52秒前
1分钟前
研友_LMo56Z完成签到,获得积分10
1分钟前
1分钟前
金jin发布了新的文献求助10
1分钟前
1分钟前
1分钟前
1分钟前
117完成签到 ,获得积分10
1分钟前
Dima发布了新的文献求助10
1分钟前
科研通AI6.3应助唔昂wang采纳,获得10
1分钟前
hhhhhhh完成签到,获得积分10
1分钟前
1分钟前
唔昂wang发布了新的文献求助10
2分钟前
Dima发布了新的文献求助10
2分钟前
云弦完成签到,获得积分20
2分钟前
无辜的思雁完成签到,获得积分20
2分钟前
青山发布了新的文献求助30
2分钟前
无花果应助vickylow采纳,获得10
2分钟前
2分钟前
Jasper应助无辜的思雁采纳,获得10
2分钟前
云弦发布了新的文献求助10
2分钟前
孝顺的白枫完成签到 ,获得积分10
2分钟前
2分钟前
唔昂wang发布了新的文献求助10
2分钟前
anugraphics完成签到,获得积分10
3分钟前
Dima发布了新的文献求助10
3分钟前
3分钟前
jonwick1完成签到,获得积分10
3分钟前
李健的小迷弟应助唔昂wang采纳,获得10
3分钟前
3分钟前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7578755
求助须知:如何正确求助?哪些是违规求助? 9158349
关于积分的说明 19592785
捐赠科研通 7161967
什么是DOI,文献DOI怎么找? 3265574
关于科研通互助平台的介绍 2430564
邀请新用户注册赠送积分活动 2256334