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 nonlinear seepage theory model is developed using nuclear magnetic experiment and fractal theory

物理 分形 分形维数 磁导率 曲折 压力梯度 有效应力 孔隙水压力 多孔介质 多孔性 煤矿开采 机械 岩土工程 地质学 数学分析 化学 数学 生物化学 有机化学
作者
Shuai Dong,Zhen Liu,He Yang,Muyao Zhu,Zheng Li,Sun Zhao-hui
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:36 (8) 被引量:4
标识
DOI:10.1063/5.0221614
摘要

The threshold pressure gradient becomes notably evident during water injection in soft, low-permeability coal seams. This phenomenon reduces the pressure hydrodynamic force and limits the effectiveness of dust reduction measures in coal mines through water injection. In this study, several mathematical models were developed to clarify the mechanism behind the threshold pressure gradient and identify the key parameters affecting permeability changes during this process. This model combines the stress sensitivity properties of the fluid boundary layer and coal body with fractal theory. The validity of the mathematical model was confirmed by comparing it with both visual experimental results from nuclear magnetic resonance water injection and other theoretical models. Particularly, the Bingham model effectively predicts the effective permeability of coal. Through the analysis of the influencing factors, it is found that the effective permeability increases with the pressure difference, pore compression coefficient, porosity, and maximum pore radius. Conversely, it decreases as the yield stress, fluid viscosity, tortuosity fractal dimension, and pore size distribution fractal dimension increase. Upon considering the impact of various factors, the pore compression coefficient was identified as having the most significant effect on coal permeability, whereas the yield stress has the greatest influence on the threshold pressure gradient. Collectively, our findings provide a theoretical foundation for enhancing the efficacy of water injection in soft, low-permeability coal seams.
最长约 10秒,即可获得该文献文件

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
4秒前
8秒前
20秒前
CipherSage应助科研通管家采纳,获得10
26秒前
29秒前
牛八先生完成签到,获得积分10
46秒前
天天发布了新的文献求助30
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
CodeCraft应助无情的琳采纳,获得10
1分钟前
1分钟前
2分钟前
2分钟前
2分钟前
无情的琳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
2分钟前
Akim应助科研通管家采纳,获得10
2分钟前
科目三应助科研通管家采纳,获得30
2分钟前
高高的善斓完成签到 ,获得积分10
2分钟前
Criminology34举报yao求助涉嫌违规
2分钟前
2分钟前
3分钟前
3分钟前
大个应助无情的琳采纳,获得10
3分钟前
3分钟前
3分钟前
3分钟前
量子星尘发布了新的文献求助10
3分钟前
不知道完成签到,获得积分10
3分钟前
4分钟前
4分钟前
无辜紫菜完成签到,获得积分10
4分钟前
无情的琳发布了新的文献求助10
4分钟前
李海艳完成签到 ,获得积分10
4分钟前
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
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5724088
求助须知:如何正确求助?哪些是违规求助? 5284344
关于积分的说明 15299562
捐赠科研通 4872214
什么是DOI,文献DOI怎么找? 2616703
邀请新用户注册赠送积分活动 1566595
关于科研通互助平台的介绍 1523430