Artículo
Foam-assisted oil recovery: A physics-based perspective
Fecha de publicación:
08/2024
Editorial:
Elsevier Science London
Revista:
Current Opinion In Colloid & Interface Science
ISSN:
1359-0294
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
FOAMS
,
EOR
,
POLYELECTROLYTES
,
MACHINE LEARNING
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IFISUR)
Articulos de INSTITUTO DE FISICA DEL SUR
Articulos de INSTITUTO DE FISICA DEL SUR
Citación
Ritacco, Hernán Alejandro; Foam-assisted oil recovery: A physics-based perspective; Elsevier Science London; Current Opinion In Colloid & Interface Science; 72; 8-2024; 1-61; 101809
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