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!

A kinetic model for multicomponent gas transport in shale gas reservoirs and its applications

滑脱 努森扩散 努森数 扩散 石油工程 油页岩 工作(物理) 组分(热力学) 输运现象 吸附 热力学 物理 化学 地质学 材料科学 古生物学 复合材料 有机化学
作者
Shihao Wang,Yanbin Zhang,Haiyi Wu,Seong H. Lee,Rui Qiao,Xian‐Huan Wen
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:34 (8) 被引量:15
标识
DOI:10.1063/5.0101272
摘要

An accurate gas transport model is of vital importance to the simulation and production optimization of unconventional gas reservoirs. Although great success has been achieved in the development of single-component transport models, limited progress has been made in multicomponent systems. The major challenge of developing non-empirical multicomponent gas transport models lies in the absence of the quantification of the concentration impact on the fluid dynamic properties. To fill such a gap, this work presents a comprehensive transport model for multicomponent gas transport in shale and tight reservoirs. In developing the model, we first conducted molecular dynamic simulations to qualitatively understand the differential release of hydrocarbons from unconventional shale and tight reservoirs. It is found that the gas slippage, differential adsorption, and surface diffusion are the primary transport mechanisms in the working range of Knudsen number during reservoir production. Based on the molecular dynamic study, a quantitative transport model has been developed and validated, which extends existing models from single-component systems to multiple-component systems. The kinetic theory of gases is adopted and modified to model the multicomponent slippage effect. A generalized Maxwell–Stefan formulation with extended Langmuir adsorption isotherm is used to model the multicomponent surface diffusion process. The accuracy of the proposed model is above 90% for low to moderate Knudsen numbers in modeling the differential release phenomenon in unconventional reservoirs.

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
6秒前
笑开口发布了新的文献求助20
13秒前
14秒前
Orange应助369ninja采纳,获得10
15秒前
19秒前
33秒前
soilman发布了新的文献求助10
38秒前
49秒前
zzzy完成签到,获得积分10
52秒前
酷波er应助科研通管家采纳,获得10
55秒前
研友_VZG7GZ应助369ninja采纳,获得10
1分钟前
zzzy发布了新的文献求助10
1分钟前
1分钟前
1分钟前
黄景滨完成签到 ,获得积分10
1分钟前
1分钟前
笑开口发布了新的文献求助10
1分钟前
沥青拌蛋黄完成签到,获得积分10
2分钟前
2分钟前
所所应助soilman采纳,获得10
2分钟前
2分钟前
2分钟前
踏实一德应助沥青拌蛋黄采纳,获得10
2分钟前
科研通AI6.4应助blenx采纳,获得10
2分钟前
soilman发布了新的文献求助10
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
3分钟前
3分钟前
369ninja发布了新的文献求助10
3分钟前
3分钟前
3分钟前
笑开口发布了新的文献求助10
3分钟前
3分钟前
3分钟前
诚心金渐基完成签到 ,获得积分10
4分钟前
4分钟前
科目三应助小短腿飞行员采纳,获得10
4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 2000
Bend stiffness of submarine cables – an experimental and numerical investigation 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
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 7536601
求助须知:如何正确求助?哪些是违规求助? 9121682
关于积分的说明 19485883
捐赠科研通 7135043
什么是DOI,文献DOI怎么找? 3257476
关于科研通互助平台的介绍 2424829
邀请新用户注册赠送积分活动 2245339