Trapping patterns during capillary displacements in disordered media

Liu, Fanli; Wang, Moran

doi:10.1017/jfm.2021.1103

Cited by 5 publications

(3 citation statements)

References 41 publications

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“…By defining q 1 = 2r 1 v 1 = 2r 1 dL 1 /dt, with v 1 being the velocity of the interface, the governing equations can be solved numerically given the boundary condition. The same two-phase displacement process can also be solved by the lattice Boltzmann method (LBM) (Liu & Wang 2022a), a brief introduction to which is given in Appendix A. The following results for the pore doublet model are obtained by both solving the differential equations and the LBM, which agree with one another.…”

Section: Methodsmentioning

confidence: 57%

Phase diagram for preferential flow in dual permeable media

Liu

Wang

2022

J. Fluid Mech.

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We study the preference of two-phase displacements systematically by theoretical derivations and numerical simulations via a non-uniform pore doublet model. All the most important impact factors, including viscosity ratio, capillary number, wetting conditions and boundary conditions, have been considered, and finally a complete phase diagram for preferential flow has been obtained. The simple treatment for the dual-permeability media has been validated, and further, with a few necessary corrections the phase diagram is applicable for disordered permeable media in general. These results help us to understand the occurrence and manipulation of preferential flow in heterogeneous permeable media.

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Section: Methodsmentioning

confidence: 57%

Phase diagram for preferential flow in dual permeable media

Liu

Wang

2022

J. Fluid Mech.

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“…The utilization of PNM has gained extensive prominence in investigating flow and transport phenomena within porous media (Bijeljic et al. 2004; Mehmani & Balhoff 2015; Liu & Wang 2022; Liu et al. 2024).…”

Section: Introductionmentioning

confidence: 99%

Non-monotonic effect of compaction on longitudinal dispersion coefficient of porous media

Liu,

Gong,

Xiao

et al. 2024

J. Fluid Mech.

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Utilizing the discrete element method and the pore network model, we numerically investigate the impact of compaction on the longitudinal dispersion coefficient of porous media. Notably, the dispersion coefficient exhibits a non-monotonic dependence on the degree of compaction, which is distinguished by the presence of three distinct regimes in the variation of dispersion coefficient. The non-monotonic variation of dispersion coefficient is attributed to the disparate effect of compaction on dispersion mechanisms. Specifically, the porous medium tightens with an increasing pressure load, reducing the effect of molecular diffusion that primarily governs at small Péclet numbers. On the other hand, heightened pressure loads enhance the heterogeneity of pore structures, resulting in increased disorder and a higher proportion of stagnant zones within porous media flow. These enhancements further strengthen mechanical dispersion and hold-up dispersion, respectively, both acting at higher Péclet numbers. It is crucial to highlight that hold-up dispersion is induced by the low-velocity regions in porous media flow, which differ fundamentally from zero-velocity regions (such as dead-ends or the interior of permeable grains) as described by the classical theory of dispersion. The competition between weakened molecular diffusion and enhanced hold-up dispersion and mechanical dispersion, together with the shift in the dominance of dispersion mechanisms across various Péclet numbers, results in multiple regimes in the variation of dispersion coefficients. Our study provides unique insights into structural design and modulation of the dispersion coefficient of porous materials.

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“…This influence often leads to the formation of preferential water flow pathways, which expedite the rise in water cut and decline in oil production from wells (Lenormand et al, 1988;Zhang et al, 2011;Hu et al, 2020). Consequently, non-uniform displacement of injected water emerges as a critical factor limiting both well productivity and the ultimate recovery rate of the reservoir (Lei et al, 2022;Liu and Wang, 2022). Profile control and flooding technology presents an effective solution for impeding the preferential water flow channels.…”

Section: Introductionmentioning

confidence: 99%

Matching method between nanoparticle displacement agent size and pore throat in low permeability reservoir

Wu,

Zhao,

Zhang

et al. 2023

Front. Chem.

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Nano-particles possess desirable attributes such as small particle size, excellent injectivity, and migration performance, making them highly compatible and adaptable for addressing the water flooding requirements of the low-permeability oil reservoir. When selecting an oil displacement agent for enhancing water flooding and improving oil recovery, factors such as injectivity and migration need to be carefully considered. In this study, through a comprehensive analysis of the mechanism and technical characteristics of nano-particle oil displacement agents, the plugging and profile control mechanisms recognized by the mainstream of nano-particles are elucidated. By examining various elements including outcrop fractures, natural micro-fractures, artificial support fractures, and dynamic monitoring data, a reevaluation of the dominant channel scale governing water drive in low permeability reservoirs is conducted, thereby defining the target entities for profile control and flooding operations. Drawing upon Darcy’s percolation law and leveraging enhanced oil recovery techniques based on the classical Kozeny equation, a profile control and flooding mechanism is proposed that focuses on increasing the specific surface area of polymer particles while simultaneously reducing reservoir permeability. This innovative approach establishes a novel matching method between nano-polymer particles and the diverse media found within the reservoir. Lastly, the application of nanoparticle flooding technology in Changqing Oilfield is presented, highlighting its practical implementation and benefits.

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Trapping patterns during capillary displacements in disordered media

Cited by 5 publications

References 41 publications

Phase diagram for preferential flow in dual permeable media

Phase diagram for preferential flow in dual permeable media

Non-monotonic effect of compaction on longitudinal dispersion coefficient of porous media

Matching method between nanoparticle displacement agent size and pore throat in low permeability reservoir

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