Reservoir Potential Unlocked: Synergies Between Low-Salinity Water Flooding, Nanoparticles and Surfactants in Enhanced Oil Recovery─A Review

水驱 提高采收率 盐度 洪水(心理学) 环境科学 石油工程 纳米颗粒 化学工程 地质学 工程类 海洋学 心理学 心理治疗师
作者
Walidi Mumbere,Farad Sagala,Uttam Gupta,Denis Bbosa
出处
期刊:ACS omega [American Chemical Society]
标识
DOI:10.1021/acsomega.5c02533
摘要

This review explores the synergistic application of low-salinity water flooding (LSWF), nanoparticles, and surfactants in enhanced oil recovery (EOR), emphasizing their combined potential to address modern oil production challenges. It highlights the ability of LSWF to alter reservoir wettability, improve sweep efficiency, nanoparticles to enhance fluid mobility, and reduce interfacial tension, and surfactants to lower the interfacial tension and promote emulsification. All of this aim to provide practical, easy-to-use, and sustainable solutions for oil recovery. The review discusses existing research gaps in the long-term stability of nanoparticle-surfactant complexes, site-specific differences in rock-fluid interactions, and economic viability across diverse reservoirs. The review summarizes experimental findings, demonstrating recovery rates of 45-55% for nanoparticles, 50-60% for surfactants, and 40-50% for LSWF with improvements of 75-82% through this integrated approach. Additionally, the review addresses technological advancements, environmental considerations, and economic feasibility, highlighting challenges such as nanoparticle agglomeration and surfactant adsorption. A bibliographic analysis of global research trends, mechanisms, and field applications underscores the importance of interdisciplinary collaboration in optimizing this strategy for sustainable and efficient EOR processes. The findings aim to guide researchers and industry professionals in leveraging the synergistic effects of these methods to maximize oil recovery and reduce environmental footprints with a proposition to develop advanced characterization techniques, and verifying practicality through field implementation studies.

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
1秒前
852应助麦克斯韦的小妖采纳,获得10
1秒前
lulu发布了新的文献求助10
2秒前
哆啦A梦完成签到,获得积分10
2秒前
11完成签到 ,获得积分20
2秒前
2秒前
痴情的乌龟完成签到,获得积分20
3秒前
3秒前
3秒前
4秒前
DDD完成签到,获得积分10
4秒前
4秒前
赖同学完成签到,获得积分10
5秒前
咸蛋黄蘸酱完成签到,获得积分10
6秒前
初景应助洋芋采纳,获得20
6秒前
岁岁菌发布了新的文献求助10
7秒前
7秒前
DDD发布了新的文献求助10
7秒前
Cpp完成签到 ,获得积分10
7秒前
7秒前
Huaru发布了新的文献求助10
7秒前
Pighasadream完成签到,获得积分10
8秒前
9秒前
壹贰叁发布了新的文献求助10
9秒前
10秒前
一小团团发布了新的文献求助10
10秒前
10秒前
领导范儿应助LILI2采纳,获得10
10秒前
10秒前
清仔完成签到,获得积分10
11秒前
12秒前
木颜完成签到 ,获得积分10
12秒前
13秒前
louis发布了新的文献求助10
13秒前
13秒前
13秒前
uang完成签到,获得积分10
13秒前
14秒前
cdercder应助心灵美平凡采纳,获得10
14秒前
蓝天发布了新的文献求助100
14秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
The Resilient Mindset 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 300
Upland Kenya wild flowers and ferns: a flora of the flowers, ferns, grasses, and sedges of highland Kenya 300
Disturbing the Quiet Life? Competition and CEO Incentives 300
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 6652908
求助须知:如何正确求助?哪些是违规求助? 8406741
关于积分的说明 17975342
捐赠科研通 5848633
什么是DOI,文献DOI怎么找? 2971888
邀请新用户注册赠送积分活动 1947418
关于科研通互助平台的介绍 1868007