Foam-assisted oil recovery: A physics-based perspective

被引:1
|
作者
Ritacco, Hernan A. [1 ]
机构
[1] Univ Nacl UNS, Dept Fis, Inst Fis Sur IFISUR, CONICET, Ave L N Alem 1253 B8000CPB, Bahia Blanca, Argentina
关键词
Foams; Smart foams; Enhance oil recovery; EOR; Polyelectrolytes; Surfactants; Nanoparticles; Machine learning; Porous media; DYNAMIC SURFACE-TENSION; AQUEOUS FOAMS; ADSORPTION; RHEOLOGY; COALESCENCE; MECHANISMS; EMULSIONS; KINETICS; FILMS; FLOW;
D O I
10.1016/j.cocis.2024.101809
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
In this paper, I delve into the physics of foams within the context of Enhanced Oil Recovery (EOR). Foams present a promising prospect for use in EOR, applicable to both conventional and non-conventional oil wells. A primary challenge faced by oil industry technologists is ensuring foam stability in porous media under harsh conditions of temperature, pressure, and salinity. To surmount these challenges, a profound understanding of the physicochemical mechanisms governing foam formation and stability at a microscopic level is required. In this article, I explore some fundamental aspects of foam physics that should be considered when developing foam systems for EOR. I conclude the paper by briefly discussing the use of machine learning in the design of foam-assisted EOR, and by highlighting the potential of smart foams in the oil industry.
引用
收藏
页数:15
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