Pore-network modelling of non-Darcy flow through heterogeneous porous media

El-Zehairy, A.A.M.E.; Nezhad, Mohaddeseh Mousavi; Niasar, Vahid; Guymer, I.; Kourra, Nadia; Williams, Mark A.

doi:10.1016/j.advwatres.2019.103378

Cited by 34 publications

(27 citation statements)

References 75 publications

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“…This spatial variation can notably be dependent on the capillary forces and the viscous dissipation in the interfaces [74] and on the pore morphology of the rock [75]. For Estaillades rock, it was shown that the medium heterogeneity creates stagnant zones with low-pressure values next to zones with high-pressure values, which results in considerable variation in the velocity distribution [76]. This could have largely affected the sweep efficiency and oil recovery in our experiments (Figure 4).…”

Section: Comparison With Pore-scale Network and Importance Of Length ...mentioning

confidence: 82%

Relevance of zeta potential as a tool for predicting the response of controlled salinity waterflooding in oil–water-carbonate systems

Rodrigues

Levant

Klimenko

2022

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Section: Comparison With Pore-scale Network and Importance Of Length ...mentioning

confidence: 82%

Relevance of zeta potential as a tool for predicting the response of controlled salinity waterflooding in oil–water-carbonate systems

Rodrigues

Levant

Klimenko

2022

Fuel

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“…The differences between these algorithms are based on different pore space characterization and pore size assignment methods. The output pore network is then used to conduct flow simulations and to investigate different processes such as wettability, multiphase flow, reactive transport, and no-Darcy flow [20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Pore-Scale Characterization and PNM Simulations of Multiphase Flow in Carbonate Rocks

et al. 2021

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This paper deals with pore-scale two-phase flow simulations in carbonate rock using the pore network method (PNM). This method was used to determine the rock and flow properties of three different rock samples, such as porosity, capillary pressure, absolute permeabilities, and oil–water relative permeabilities. The pore network method was further used to determine the properties of rock matrices, such as pore size distribution, topological structure, aspect ratio, pore throat shape factor, connected porosity, total porosity, and absolute permeability. The predicted simulation for the network-connected porosity, total porosity, and absolute permeability agree well with those measured experimentally when the image resolution is appropriate to resolve the relevant pore and throat sizes. This paper also explores the effect of the wettability and fraction of oil-wet pores on relative permeabilities, both in uniform and mixed wet systems.

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“…However, several experimental evidences through multiple porous packing suggest the development of non-Darcy Cow condition (nonlinear Bltration) in higher Cow velocities, where the Darcy's linear model is not sufBcient to describe the Cow. It can be considered that such situations occur when the inertial drag exceeds 1% of the total pressure loss; resulting a non-linear behaviour between the pressure gradient and the superBcial velocity (El-Zehairy et al 2019). However, two of the very fundamental questions regarding the nonlinear Bltration through porous packing remains largely unanswered till date.…”

Section: Introductionmentioning

confidence: 99%

Influence of fluid viscosity and flow transition over non-linear filtration through porous media

et al. 2021

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The present study investigates two important though relatively unexplored aspects of non-linear Bltration through porous media. The Brst aspect is the inCuence of viscosity variation over the coefBcients of the governing equations used for modelling non-linear Bltration through porous media. Velocity and hydraulic gradient data obtained for a wide range of Cuid viscosities (8.03E-07 to 3.72E-05 N/m 2 ) were studied. An increase in Cuid viscosity resulted in an increased pressure loss through packing which can be quantiBed using the coefBcients of the governing equations. CoefBcients of Forchheimer equation represent linearly increasing trend with the kinematic viscosity. On the other hand, coefBcient of Wilkins equation represents similar values for different Cuid viscosities and remained unaffected by the variation in packing properties. Obtained data were utilized to understand the nature of Cow transition in porous media. Behaviour of polynomial and Power-law coefBcient with variation in Cow velocity were also examined. Critical Reynolds number corresponding to the deviation of Cow from Darcy regime varies with the porous packing and was observed to be in the range of 0-100. CoefBcients of polynomial (Forchheimer) model were observed to be independent of the range of Cow velocity, whereas the Power law coefBcients are extremely sensitive to the data.

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Pore-network modelling of non-Darcy flow through heterogeneous porous media

Abstract: Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 34 publications

References 75 publications

Relevance of zeta potential as a tool for predicting the response of controlled salinity waterflooding in oil–water-carbonate systems

Relevance of zeta potential as a tool for predicting the response of controlled salinity waterflooding in oil–water-carbonate systems

Pore-Scale Characterization and PNM Simulations of Multiphase Flow in Carbonate Rocks

Influence of fluid viscosity and flow transition over non-linear filtration through porous media

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