Using Direct Numerical Simulation of Pore-Level Events to Improve Pore-Network Models for Prediction of Residual Trapping of CO2

Direct numerical simulation and pore-network modeling are common approaches to study the physics of two-phase flow through natural rocks. For assessment of the long-term performance of geological sequestration of CO2, it is important to model the full drainage-imbibition cycle to provide an accurate...

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Main Authors: Amir H. Kohanpur, Yu Chen, Albert J. Valocchi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Water
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frwa.2021.710160/full
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author Amir H. Kohanpur
Yu Chen
Albert J. Valocchi
author_facet Amir H. Kohanpur
Yu Chen
Albert J. Valocchi
author_sort Amir H. Kohanpur
collection DOAJ
description Direct numerical simulation and pore-network modeling are common approaches to study the physics of two-phase flow through natural rocks. For assessment of the long-term performance of geological sequestration of CO2, it is important to model the full drainage-imbibition cycle to provide an accurate estimate of the trapped CO2. While direct numerical simulation using pore geometry from micro-CT rock images accurately models two-phase flow physics, it is computationally prohibitive for large rock volumes. On the other hand, pore-network modeling on networks extracted from micro-CT rock images is computationally efficient but utilizes simplified physics in idealized geometric pore elements. This study uses the lattice-Boltzmann method for direct numerical simulation of CO2-brine flow in idealized pore elements to develop a new set of pore-level flow models for the pore-body filling and snap-off events in pore-network modeling of imbibition. Lattice-Boltzmann simulations are conducted on typical idealized pore-network configurations, and the interface evolution and local capillary pressure are evaluated to develop modified equations of local threshold capillary pressure of pore elements as a function of shape factor and other geometrical parameters. The modified equations are then incorporated into a quasi-static pore-network flow solver. The modified model is applied on extracted pore-network of sandstone samples, and saturation of residual trapped CO2 is computed for a drainage-imbibition cycle. The modified model yields different statistics of pore-level events compared with the original model; in particular, the occurrence of snap-off in pore-throats is reduced resulting in a more frontal displacement pattern along the main injection direction. Compared to the original model, the modified model is in closer agreement with the residual trapped CO2 obtained from core flow experiments and direct numerical simulation.
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spelling doaj.art-a8d5e77354c0451b986c8f265734ac722022-12-21T19:24:13ZengFrontiers Media S.A.Frontiers in Water2624-93752022-01-01310.3389/frwa.2021.710160710160Using Direct Numerical Simulation of Pore-Level Events to Improve Pore-Network Models for Prediction of Residual Trapping of CO2Amir H. Kohanpur0Yu Chen1Albert J. Valocchi2Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, United StatesLos Alamos National Laboratory (DOE), Los Alamos, NM, United StatesDepartment of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, United StatesDirect numerical simulation and pore-network modeling are common approaches to study the physics of two-phase flow through natural rocks. For assessment of the long-term performance of geological sequestration of CO2, it is important to model the full drainage-imbibition cycle to provide an accurate estimate of the trapped CO2. While direct numerical simulation using pore geometry from micro-CT rock images accurately models two-phase flow physics, it is computationally prohibitive for large rock volumes. On the other hand, pore-network modeling on networks extracted from micro-CT rock images is computationally efficient but utilizes simplified physics in idealized geometric pore elements. This study uses the lattice-Boltzmann method for direct numerical simulation of CO2-brine flow in idealized pore elements to develop a new set of pore-level flow models for the pore-body filling and snap-off events in pore-network modeling of imbibition. Lattice-Boltzmann simulations are conducted on typical idealized pore-network configurations, and the interface evolution and local capillary pressure are evaluated to develop modified equations of local threshold capillary pressure of pore elements as a function of shape factor and other geometrical parameters. The modified equations are then incorporated into a quasi-static pore-network flow solver. The modified model is applied on extracted pore-network of sandstone samples, and saturation of residual trapped CO2 is computed for a drainage-imbibition cycle. The modified model yields different statistics of pore-level events compared with the original model; in particular, the occurrence of snap-off in pore-throats is reduced resulting in a more frontal displacement pattern along the main injection direction. Compared to the original model, the modified model is in closer agreement with the residual trapped CO2 obtained from core flow experiments and direct numerical simulation.https://www.frontiersin.org/articles/10.3389/frwa.2021.710160/fullpore-network (PN) modelinglattice-boltzmannresidual trappingCO2 storage and sequestrationpore-scale modeling
spellingShingle Amir H. Kohanpur
Yu Chen
Albert J. Valocchi
Using Direct Numerical Simulation of Pore-Level Events to Improve Pore-Network Models for Prediction of Residual Trapping of CO2
Frontiers in Water
pore-network (PN) modeling
lattice-boltzmann
residual trapping
CO2 storage and sequestration
pore-scale modeling
title Using Direct Numerical Simulation of Pore-Level Events to Improve Pore-Network Models for Prediction of Residual Trapping of CO2
title_full Using Direct Numerical Simulation of Pore-Level Events to Improve Pore-Network Models for Prediction of Residual Trapping of CO2
title_fullStr Using Direct Numerical Simulation of Pore-Level Events to Improve Pore-Network Models for Prediction of Residual Trapping of CO2
title_full_unstemmed Using Direct Numerical Simulation of Pore-Level Events to Improve Pore-Network Models for Prediction of Residual Trapping of CO2
title_short Using Direct Numerical Simulation of Pore-Level Events to Improve Pore-Network Models for Prediction of Residual Trapping of CO2
title_sort using direct numerical simulation of pore level events to improve pore network models for prediction of residual trapping of co2
topic pore-network (PN) modeling
lattice-boltzmann
residual trapping
CO2 storage and sequestration
pore-scale modeling
url https://www.frontiersin.org/articles/10.3389/frwa.2021.710160/full
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