Enhancing surfactant desorption through low salinity water post-flush during Enhanced Oil Recovery

作者
Ichhuy Ngo,Kyuro Sasaki,Liqiang Ma,Ronald Nguele,Yuichi Sugai
出处
期刊:Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles [EDP Sciences]
卷期号:76: 68-68 被引量:12
标识
DOI:10.2516/ogst/2021050
摘要

Low Salinity Water (LSW) incorporates in surfactant Enhanced Oil Recovery (EOR) as a pre-flush is a common practice aiming to reduce the formation salinity, which affects surfactant adsorption. However, in a field implementation, the adsorption of surfactant is unavoidable, so creating a scheme that detaches the trapped surfactant is equally essential. In this study, LSW was a candidate to enhance the desorption of surfactant. LSW solely formulated from NaCl (1 wt.%), Sodium Dodecylbenzene Sulfonate (SDBS) was chosen as the primary surfactant at its critical micelle concentration (CMC, 0.1 wt.%). It found that injecting LSW as post-flush achieved up to 71.7% of SDBS desorption that lower interfacial tension against oil (31.06° API) to 1.3 mN/m hence bring the total Recovery Factor (RF) to 56.1%. It was 4.9% higher than when LSW injecting as pre-flush and 5.2% greater than conventional surfactant flooding (without LSW). Chemical analysis unveiled salinity reduction induces Na+ ion adsorption substitution onto pore surface resulting in an increment in surfactant desorption. The study was further conducted in a numerical simulation upon history matched with core-flood data reported previously. By introducing LSW in post-flush after SDBS injection, up to 5.6% RF increased in comparison to other schemes. The proposed scheme resolved the problems of adsorbed surfactant after EOR, and further improve the economic viability of surfactant EOR.

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
zt1812431172完成签到,获得积分10
刚刚
1秒前
1秒前
3秒前
Jc发布了新的文献求助10
3秒前
今后应助An采纳,获得10
4秒前
奥利奥完成签到,获得积分10
4秒前
4秒前
6秒前
6秒前
6秒前
7秒前
爱听歌的机器猫完成签到,获得积分10
7秒前
66hbb发布了新的文献求助10
8秒前
姚芭蕉完成签到 ,获得积分0
8秒前
8秒前
9秒前
11秒前
Zhang完成签到 ,获得积分10
11秒前
11秒前
12秒前
12秒前
369ninja发布了新的文献求助10
13秒前
13秒前
bkagyin应助当里个当采纳,获得10
13秒前
14秒前
墨殇发布了新的文献求助10
15秒前
小巧孤兰完成签到,获得积分10
15秒前
张欢馨应助应如是采纳,获得10
18秒前
18秒前
MOOTEA发布了新的文献求助10
18秒前
19秒前
19秒前
21秒前
顾矜应助隐形大白采纳,获得10
21秒前
54不得了发布了新的文献求助10
21秒前
香香鱼丸发布了新的文献求助10
23秒前
23秒前
灿烂完成签到,获得积分10
24秒前
无花果应助我很厉害的采纳,获得10
25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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Health Psychology 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 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 7595599
求助须知:如何正确求助?哪些是违规求助? 9172216
关于积分的说明 19634684
捐赠科研通 7172848
什么是DOI,文献DOI怎么找? 3267835
关于科研通互助平台的介绍 2432659
邀请新用户注册赠送积分活动 2260958