Compositional Pore-Network Modeling of Gas-Condensate Flow
Paula Reis, Marcio Carvalho

TL;DR
This paper introduces a fully implicit compositional pore-network model that simulates gas-condensate flow in reservoirs, accurately capturing phase transitions and predicting relative permeability with good agreement to experimental data.
Contribution
It presents a novel 3D pore-network model incorporating phase transition physics and PT-flash calculations, improving reservoir flow predictions under complex conditions.
Findings
Good quantitative agreement with experimental relative permeability data.
Model accurately captures phase transitions and flow regimes.
Predicts effects of interfacial tension and flow velocity on flow behavior.
Abstract
Liquid dropout and retention in gas-condensate reservoirs, specially in the near wellbore region, obstruct gas flowing paths and impact negatively the produced fluid volume and composition. Yet, condensate banking forecasting is commonly inaccurate, as experiments seldom reproduce reservoir extreme conditions and complex fluid composition, while most pore-scale models oversimplify the physics of phase transitions between gas and condensate. To address this gap, a fully implicit isothermal compositional pore-network model for gas and condensate flow is presented. The proposed pore-networks consist of 3D structures of pores connected by constricted circular capillaries. Hydraulic conductances are calculated for the capillaries, which can exhibit single-phase flow or two-phase annular flow, according to local gas and liquid saturations, or be blocked by a liquid bridge, when capillary…
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Taxonomy
TopicsHydrocarbon exploration and reservoir analysis · Enhanced Oil Recovery Techniques · Hydraulic Fracturing and Reservoir Analysis
