Research on damage-based coal permeability evolution for the whole stress–strain process considering temperature and pore pressure

磁导率 材料科学 压实 孔隙水压力 复合材料 岩土工程 机械 地质学 化学 生物化学 物理
作者
Xiangyu Wang,Hongwei Zhou,Lei Zhang,Axel Preuße,Senlin Xie,Wei Hou
出处
期刊:Geomechanics and geophysics for geo-energy and geo-resources [Springer Nature]
卷期号:8 (5) 被引量:7
标识
DOI:10.1007/s40948-022-00464-5
摘要

In order to understand the permeability evolution of coal under different temperature and pore pressure conditions, a series of experiments are carried out by simulating stress state and temperature conditions of coal in depth, meanwhile the permeability is obtained by calculation using fractional derivative calculation method. A damage-induced permeability model for the complete stress–strain process of deep coal considering temperature and pore pressure is proposed by introducing the non-uniform coefficient. The model is validated by experimental data from different perspectives. Results show that the initial permeability decreases with increasing temperature while it increases with pore pressure rising. Furthermore, the developed permeability model is proved to agree better with the experimental data of permeability evolution with pore pressure in comparison with the traditional models. The experimental results of permeability evolution caused by temperature and axial stress can be characterized by the proposed permeability model well. Finally, the model can accurately characterize the piecewise permeability evolution that it decreases in compaction stage and increases in dilation stage with axial strain. Discussions on the effects of non-uniform deformation coefficient and permeability-damage coefficient on the permeability model indicate that the increasing non-uniform deformation coefficient will accelerate permeability evolution. The permeability trend in the volumetric dilation stage is found to be more sensitive to the permeability-damage coefficient in comparison with the compaction stage.

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
wlp鹏完成签到,获得积分10
刚刚
liang发布了新的文献求助10
1秒前
1秒前
SciGPT应助芭蕾恰恰舞采纳,获得30
3秒前
CodeCraft应助99668采纳,获得10
3秒前
细心书包发布了新的文献求助10
4秒前
单薄枕头完成签到,获得积分20
4秒前
量子星尘发布了新的文献求助10
5秒前
5秒前
量子星尘发布了新的文献求助30
6秒前
7秒前
蔡蔡蔡发布了新的文献求助10
7秒前
8秒前
李健的小迷弟应助鲸鱼采纳,获得10
8秒前
9秒前
9秒前
田様应助潇洒闭月采纳,获得10
9秒前
我是老大应助PhDL1采纳,获得10
10秒前
顺意发布了新的文献求助10
10秒前
义气凝阳发布了新的文献求助10
11秒前
11秒前
11秒前
12秒前
RONG发布了新的文献求助10
12秒前
12秒前
共享精神应助huangsi采纳,获得10
13秒前
Journey发布了新的文献求助10
14秒前
wyd222发布了新的文献求助10
14秒前
14秒前
15秒前
16秒前
16秒前
16秒前
完美世界应助aulinwl采纳,获得30
16秒前
lily发布了新的文献求助10
18秒前
18秒前
18秒前
YuZhang发布了新的文献求助10
19秒前
sssaasa发布了新的文献求助10
19秒前
wxy完成签到,获得积分10
19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
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
the Oxford Guide to the Bantu Languages 3000
Agyptische Geschichte der 21.30. Dynastie 3000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
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 5762020
求助须知:如何正确求助?哪些是违规求助? 5533545
关于积分的说明 15401764
捐赠科研通 4898295
什么是DOI,文献DOI怎么找? 2634801
邀请新用户注册赠送积分活动 1582925
关于科研通互助平台的介绍 1538165