Сибирский федеральный университет

Тип публикации: статья из журнала

Год издания: 2021

Идентификатор DOI: 10.1016/S1876-3804(21)60080-0

Ключевые слова: enhanced oil recovery, fluid volume method, nanofluid flooding, pore scale modeling

Аннотация: The numerical modeling of oil displacement by nanofluid based on three-dimensional micromodel of cores with different permeability was carried out by the volume of fluid (VOF) method with experimentally measured values of interfacial tension, contact angle and viscosity. Water-based suspensions of SiO2 nanoparticles with a concentration of 0–1% and different particle sizes were considered to study the effect of concentration and size of nanoparticles, displacement fluid flow rate, oil viscosity and core permeability on the efficiency of oil displacement by nanofluid. The oil recovery factor (ORF) increases with the increase of mass fraction of nanoparticles. An increase in nanoparticles' concentration to 0.5% allows an increase in ORF by about 19% compared to water flooding. The ORF increases with the decrease of nanoparticle size, and declines with the increase of displacing rate. It has been shown that the use of nanosuspensions for enhanced oil recovery is most effective for low-permeable reservoirs with highly viscous oil in injection modes with capillary number close to the immobilization threshold, and the magnitude of oil recovery enhancement decreases with the increase of displacement speed. The higher the oil viscosity, the lower the reservoir rock permeability, the higher the ORF improved by nanofluids will be. © 2021 Research Institute of Petroleum Exploration & Development, PetroChina

Журнал: Petroleum Exploration and Development

Выпуск журнала: Vol. 48, Is. 4

Номера страниц: 956-967

ISSN журнала: 18763804

Издатель: Elsevier B.V.

• Minakov Andrey Viktorovich (Siberian Fed Univ, Krasnoyarsk 660041, Russia; SB RAS, Kutateladze Inst Thermophys, Novosibirsk 630090, Russia)
• Guzei Dmitriy Viktorovich (Siberian Fed Univ, Krasnoyarsk 660041, Russia; SB RAS, Kutateladze Inst Thermophys, Novosibirsk 630090, Russia)
• Pryazhnikov Maxim Ivanovich (Siberian Fed Univ, Krasnoyarsk 660041, Russia; SB RAS, Kutateladze Inst Thermophys, Novosibirsk 630090, Russia)
• Filimonov Sergey Anatol'yevich (Siberian Fed Univ, Krasnoyarsk 660041, Russia; SB RAS, Kutateladze Inst Thermophys, Novosibirsk 630090, Russia)
• Voronenkova Yulia Olegovna (Siberian Fed Univ, Krasnoyarsk 660041, Russia)

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