Surface analysis of liquid adsorption onto shale

作者
Hesham Abdulelah,Berihun Mamo Negash,Kawthar Adewumi Babatunde,Ali Aref Ali Alzanam,Mohammed Hail Hakimi,Eswaran Padmanabhan
出处
期刊:IOP conference series [IOP Publishing]
卷期号:1003 (1): 012046-012046 被引量:3
标识
DOI:10.1088/1755-1315/1003/1/012046
摘要

Abstract Shale rocks are one of the world's most important unconventional gas resources today, thanks to technical advancements. Fluid adsorption in tight rocks like shale is critical for designing fracturing and treatment fluids. However, adsorption of fluids in shale is not fully understood, and quantifying it remains difficult. In addition, the complicated pore structure of shale rocks makes characterisation challenging. Wettability can be used to understand the affinity of a solid surface to adhere certain fluid. Shales present several basic problems when employing standard techniques because of their small grain size, low permeability, and reactive components. We assessed and compare the wettability of shale using contact angle and spontaneous imbibition methods in two shale samples. The findings showed no correlation between contact angle and imbibition curves. Such behaviour is due heterogeneity of shale surface. Contact angle produces local wetting characteristics, but shale sample is rather complex and contact angle is therefore not representative. Imbibition results might be more reliable since fluids contacts with the whole sample.

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
fei发布了新的文献求助10
刚刚
1秒前
wanci应助刘大大采纳,获得10
2秒前
wu完成签到,获得积分20
2秒前
weihe完成签到,获得积分10
3秒前
5秒前
5秒前
苦苦发布了新的文献求助10
5秒前
silence完成签到,获得积分10
6秒前
7秒前
Kao应助从容的青柏采纳,获得10
7秒前
CodeCraft应助妮妮采纳,获得10
7秒前
asdas发布了新的文献求助10
8秒前
8秒前
Jasper应助生动的小天鹅采纳,获得10
8秒前
脑洞疼应助胡靓靓采纳,获得10
8秒前
funok应助longan19采纳,获得10
8秒前
666sp完成签到,获得积分10
8秒前
9秒前
Lucas应助xuan采纳,获得10
9秒前
10秒前
10秒前
落月铭完成签到,获得积分20
10秒前
10秒前
今后应助完美的碧曼采纳,获得10
11秒前
11秒前
领导范儿应助wuxiaohui采纳,获得10
11秒前
TZW发布了新的文献求助10
11秒前
jason发布了新的文献求助10
12秒前
落月铭发布了新的文献求助20
13秒前
yjh123应助繁荣的又亦采纳,获得30
13秒前
13秒前
斯文败类应助4901210245采纳,获得10
14秒前
14秒前
Owen应助zijunzhou采纳,获得10
14秒前
薛小飞飞完成签到 ,获得积分10
15秒前
Akim应助asdas采纳,获得10
16秒前
17秒前
zll发布了新的文献求助10
17秒前
17秒前
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
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7582558
求助须知:如何正确求助?哪些是违规求助? 9161515
关于积分的说明 19603606
捐赠科研通 7164763
什么是DOI,文献DOI怎么找? 3266162
关于科研通互助平台的介绍 2431036
邀请新用户注册赠送积分活动 2257436