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
相关论文
共 50 条
  • [21] Numerical investigations of foam-assisted CO2 storage in saline aquifers
    Lyu, Xiaocong
    Voskov, Denis
    Rossen, William R.
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2021, 108 (108)
  • [22] A Comparative Study of Gas Flooding and Foam-Assisted Chemical Flooding in Bentheimer Sandstones
    Martijn T. G. Janssen
    Rashidah M. Pilus
    Pacelli L. J. Zitha
    Transport in Porous Media, 2020, 131 : 101 - 134
  • [23] Physics-Based Characters
    Hertzmann, Aaron
    Zordan, Victor
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2011, 31 (04) : 20 - 21
  • [24] Foam-assisted water alternating gas (FAWAG) formulation design: Efficiency and sustainability
    Chai, Ivy
    Hon, Vai Yee
    Hamid, Pauziyah A.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 255
  • [25] A Comparative Study of Gas Flooding and Foam-Assisted Chemical Flooding in Bentheimer Sandstones
    Janssen, Martijn T. G.
    Pilus, Rashidah M.
    Zitha, Pacelli L. J.
    TRANSPORT IN POROUS MEDIA, 2020, 131 (01) : 101 - 134
  • [26] A Physics-Based Mean-Field Model for Ferrite Recovery and Recrystallization
    Allain, Sebastien Y. P.
    Moreno, Marc
    Lamari, Mathias
    Zurob, Hatem
    Teixeira, Julien
    Bonnet, Frederic
    METALS, 2020, 10 (05)
  • [27] Model fit to experimental data for foam-assisted deep vadose zone remediation
    Roostapour, A.
    Lee, G.
    Zhong, L.
    Kam, S. I.
    JOURNAL OF HAZARDOUS MATERIALS, 2014, 264 : 460 - 473
  • [28] Physics-based stochastic aging corrosion analysis assisted by machine learning
    Yu, Yuguo
    Dong, Bin
    Gao, Wei
    Sofi, Alba
    PROBABILISTIC ENGINEERING MECHANICS, 2022, 69
  • [29] Deep learning assisted physics-based modeling of aluminum extraction process
    Robinson, Haakon
    Lundby, Erlend
    Rasheed, Adil
    Gravdahl, Jan Tommy
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 125
  • [30] Design of foam-assisted carbon dioxide storage in a North Sea aquifer using streamline-based simulation
    Vitoonkijvanich, Siriwat
    AlSofi, Abdulkareem M.
    Blunt, Martin J.
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2015, 33 : 113 - 121