Nanohydrodynamic Model and Transport Mechanisms of Tight Oil Confined in Nanopores Considering Liquid–Solid Molecular Interaction Effect

纳米孔 材料科学 机械 多孔介质 润湿 磁导率 流速 边值问题 流量(数学) 多孔性 复合材料 纳米技术 化学 物理 量子力学 生物化学
作者
Shouya Wu,Zhaomin Li,Chao Zhang,Guangzhong Lv,Peng Zhou
出处
期刊:Industrial & Engineering Chemistry Research [American Chemical Society]
卷期号:60 (49): 18154-18165 被引量:10
标识
DOI:10.1021/acs.iecr.1c03615
摘要

Modeling oil flow confined in nanoscale pores is the preliminary and foundation of nonlinear seepage research of tight reservoirs. In this study, an analytical nanohydrodynamic model for the description of flow characteristics of confined oil in nanoscale pores with diameters greater than 2 nm is proposed coupling with viscosity distribution function and slip velocity model based on the liquid–solid intermolecular force mechanisms. This analytical model has been validated by experimental results. Analysis results of this model reveal the special flow characteristics of tight oil confined in nanopores: the velocity profile curve on the cross section is coupled parabolic with exponential line, and the maximum velocity in center is related to pore size and liquid–solid interaction strength. Furthermore, the thickness of the low-velocity region near the wall, which reflects the action scope of pore surface, could be quantified by this model. The critical radius of the nanopore to distinguish the confined flow and unconfined flow is determined by this model, which would increase with a decrease in the liquid–solid interaction strength. And the non-Darcy seepage mechanisms of tight reservoirs could be revealed by this model because of the consistent characteristics of flowrate curve and non-Darcy flow curve. Besides, increasing temperature could weaken the confinement effect and changing wettability is an effective method to enhance tight oil mobility. Finally, apparent permeability is derived for tight reservoirs from this nanohydrodynamic model.

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
刚刚
需要交流的铅笔完成签到 ,获得积分10
1秒前
clexin13完成签到,获得积分10
1秒前
Adelinelili发布了新的文献求助10
1秒前
在水一方应助咸鱼采纳,获得30
2秒前
2秒前
2秒前
万能图书馆应助於傲松采纳,获得10
3秒前
4秒前
maxueni完成签到,获得积分10
5秒前
hnxxangel发布了新的文献求助10
5秒前
mouxq发布了新的文献求助10
6秒前
7秒前
CodeCraft应助clexin13采纳,获得10
7秒前
Acui发布了新的文献求助10
7秒前
1111发布了新的文献求助10
9秒前
罗拐丹完成签到,获得积分10
10秒前
Shepherd发布了新的文献求助10
11秒前
温柔的吐司完成签到,获得积分10
13秒前
调皮的背包完成签到,获得积分10
13秒前
14秒前
haidayu完成签到,获得积分10
14秒前
FashionBoy应助於傲松采纳,获得10
15秒前
罗伯特骚塞完成签到,获得积分10
17秒前
17秒前
19秒前
li完成签到,获得积分10
19秒前
Dan完成签到,获得积分10
19秒前
19秒前
Kevinwang发布了新的文献求助10
20秒前
Chaoli发布了新的文献求助10
20秒前
笨笨听寒完成签到 ,获得积分10
20秒前
looking完成签到,获得积分10
21秒前
22秒前
大力的灵雁应助郑和采纳,获得100
22秒前
22秒前
Yan发布了新的文献求助10
26秒前
XYZ完成签到,获得积分20
26秒前
28秒前
饭小心完成签到,获得积分10
29秒前
高分求助中
(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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357186
求助须知:如何正确求助?哪些是违规求助? 8171852
关于积分的说明 17206020
捐赠科研通 5412837
什么是DOI,文献DOI怎么找? 2864794
邀请新用户注册赠送积分活动 1842233
关于科研通互助平台的介绍 1690490