Two-phase flow simulation algorithm for numerical estimation of relative phase permeability curves of porous materials | Sciact - Система учета научной деятельности ИМ СО РАН

Two-phase flow simulation algorithm for numerical estimation of relative phase permeability curves of porous materials Научная публикация

Журнал

Russian Journal of Numerical Analysis and Mathematical Modelling
ISSN: 0927-6467 , E-ISSN: 1569-3988

Вых. Данные

Год: 2024, Том: 39, Номер: 4, Страницы: 209-221 Страниц : 13 DOI: 10.1515/rnam-2024-0020

Ключевые слова

Multi-phase fluid, porous media, numerical estimation, relative permeability, phase field method, CT-images.

Авторы

Khachkova Tatyana S. ¹ , Lisitsa Vadim V. ¹ , Gondul Elena A. ¹ , Prokhorov Dmiriy I. ¹ , Kostin Viktor I. ¹

Организации

1	Trofimuk Institute of Petroleum Geology and Geophysics SB RAS, Novosibirsk 630090, Russia

Информация о финансировании (1)

Институт нефтегазовой геологии и геофизики им. А. А. Трофимука СО РАН

FWZZ-2022-0022

The paper presents an algorithm for three-dimensional modelling of two-phase flows on the scale of pore size order for numerical evaluation of relative phase permeability curves of porous materials. Such an evaluation is performed based on the results of numerical simulation of primary drainage with subsequent waterflooding.Inthiscase,modelsofporousmaterialsbasedonthree-dimensionaltomographicimagesofrocks areused.ThesimulationoftheflowconsiderstheStokesequationandtheCahn–Hilliardequationformodelling phase transfer, which allows us to determine phases using the concentration function. The combination of the phase field method and finite difference method makes it possible to correctly take into account the contact angle and stably calculate surface tension forces in domains with complex topology.

Khachkova T.S. , Lisitsa V.V. , Gondul E.A. , Prokhorov D.I. , Kostin V.I.
Two-phase flow simulation algorithm for numerical estimation of relative phase permeability curves of porous materials
Russian Journal of Numerical Analysis and Mathematical Modelling. 2024. V.39. N4. P.209-221. DOI: 10.1515/rnam-2024-0020 WOS Scopus РИНЦ OpenAlex

Поступила в редакцию:	21 февр. 2024 г.
Принята к публикации:	30 мая 2024 г.
Опубликована в печати:	7 авг. 2024 г.
Опубликована online:	7 авг. 2024 г.

Web of science:	WOS:001286438500003
Scopus:	2-s2.0-85200998011
РИНЦ:	73544714
OpenAlex:	W4401400894

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