Compositional reservoir simulation: a review

LC Young - SPE Journal, 2022 - onepetro.org
Compositional reservoir models have many uses, including petroleum reservoir simulation,
the simulation of flow and remediation of nonaqueous petroleum liquids, and the study of …

Experimental evaluation of fluid connectivity in two-phase flow in porous media

SV Dastjerdi, N Karadimitriou… - Advances in Water …, 2023 - Elsevier
In this work, we provide a physically-consistent modeling approach for two-phase porous
media flow, by including percolating interfacial area and saturation as state variables. For …

Predictive modeling of relative permeability using a generalized equation of state

P Purswani, RT Johns, ZT Karpyn, M Blunt - SPE Journal, 2021 - onepetro.org
Reliable simulation of enhanced oil recovery (EOR) processes depends on an accurate
description of fluid transport in the subsurface. Current empirical transport models of rock …

Immiscible/Near-Miscible relative permeability for confined fluids at high-pressure and high-temperature for a fractal reservoir

M Cai, Y Su, S Zhan, D Elsworth, L Li - Fuel, 2022 - Elsevier
The complex interaction between fluids and solids in reservoirs includes interface slip,
capillary confinement and the diffusion and mass transfer between CO 2 and oil and results …

Hysteresis effects of three-phase relative permeabilities on black-oil reservoir simulation under WAG injection protocols

E Ranaee, F Inzoli, M Riva, A Guadagnini - Journal of Petroleum Science …, 2019 - Elsevier
We study the impact of explicitly including hysteresis effects (HEs) for relative permeabilities
in numerical simulations of enhanced oil recovery approaches grounded on the application …

Fluid-Fluid Interfacial Area and its impact on relative permeability: A pore network modeling study

S Mukherjee, RT Johns, S Foroughi, MJ Blunt - SPE Journal, 2023 - onepetro.org
Relative permeability (kr) is commonly modeled as an empirical function of phase saturation.
Although current empirical models can provide a good match of one or two measured …

Predictive Model for Relative Permeability Using Physically-Constrained Artificial Neural Networks

HF Yoga, RT Johns, P Purswani - SPE Journal, 2024 - onepetro.org
Hysteresis of transport properties like relative permeability (kr) can lead to computational
problems and inaccuracies for various applications including CO 2 sequestration and …

On the development of a relative permeability equation of state

P Purswani, MS Tawfik, ZT Karpyn… - Computational …, 2020 - Springer
Standard compositional simulators use composition-dependent cubic equations of state
(EoS), but saturation-dependent relative permeability and capillary pressure. This …

Predictive model for relative permeability using physics-based artificial neural networks

HF Yoga, P Purswani, RT Johns - SPE Improved Oil Recovery …, 2022 - onepetro.org
Hysteresis of transport properties like relative permeability (Kr) can lead to computational
problems and inaccuracies for various applications including CO2 sequestration and …

Extension of HLD-NAC flash calculation algorithm to multicomponent mixtures of microemulsion and excess phases

S Khorsandi, RT Johns - SPE Improved Oil Recovery Conference?, 2018 - onepetro.org
Current HLD-NAC theory and most simulators represent multicomponent mixtures with three
lumped components, where the excess phases are also assumed pure. This can cause …