Reactive transport in porous media for CO 2 sequestration: Pore scale modeling using the lattice Boltzmann method

Gao, Jing; Xing, Huilin; Tian, Zhilong; Pearce, Jon; Sedek, Mohamed; Golding, Suzanne D.; Rudolph, Victor

doi:10.1016/j.cageo.2016.09.008

Cited by 39 publications

(18 citation statements)

References 31 publications

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“…The advancement of computational capabilities allows for the application of these methods in complex physics and geometries. The Shan-Chen multicomponent lattice Boltzmann model was efficiently applied to fluid-fluid and fluid-solid interfacial reactions in miscible two-phase flow (Chen et al 2018;Li et al 2018) and reactive transport with evolving porosity (Gao et al 2017). For example, Li et al (2018) illustrated the influence of fluid-solid interface relations (e.g., adhesive forces, specific surface area) on the effective permeability and capillary pressure.…”

Section: Discussionmentioning

confidence: 99%

6. Multiphase Multicomponent Reactive Transport and Flow Modeling

Sin¹,

Corvisier²

2019

Reactive Transport in Natural and Engineered Systems

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This chapter is divided into three main parts: (1) governing processes in multiphase multicomponent flow and reactive transport (MMF&RT), (2) mathematical and numerical approaches of MMF&RT modeling, and (3) applications with respect to CO 2 storage. Thereafter, discussion of other applications that illustrate the ability of existing methods to represent general non-ideal multicomponent gaseous systems within a wide range of temperature and pressure conditions, in addition to their possible interactions with water/brine/rock, are presented. GOVERNING PROCESSES The governing processes and present issues of multiphase flow and geochemical modeling are introduced in this section. The definition of wettability is first presented, which is difficult for several systems; followed by the definitions of capillary pressure, residual and capillary trapping, and heterogeneity. In addition, the relative permeability is introduced, which is a characteristic property of multiphase flow. Recently, novel experimental and numerical technologies have provided further insight into different concepts such as residual nonwetting saturation, maximum relative permeability, governing forces, hysteresis, the impact of heterogeneity, and upscaling from pore-and core-scales. The different regimes of gas diffusion are then discussed in conjunction with corresponding modeling methods. Thereafter, basic formulations of multiphase flow are presented, from immiscible to compositional flows.

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Section: Discussionmentioning

confidence: 99%

6. Multiphase Multicomponent Reactive Transport and Flow Modeling

Sin¹,

Corvisier²

2019

Reactive Transport in Natural and Engineered Systems

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“…However, the fitting degrees are quite low. The relationship between organic geochemical parameters and diffusion coefficient needs to be researched further (Aertsens et al, 2017;Cervik, 1967;Gao et al, 2017;Thimons and Kissell, 1973;Villa, 2016). Organic matter has a strong adsorption capacity for methane gas (Sang et al, 2016;Wang et al, 2015a).…”

Section: Factors Influencing the Diffusion Performancementioning

confidence: 99%

Reservoir diffusion properties of the Longmaxi shale in Shizhu area, Southern Sichuan basin, China

Chen

Uwamahoro

et al. 2018

Energy Exploration & Exploitation

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Diffusion ability is an important indicator of shale gas reservoir quality. In this paper, the diffusion coefficient of the Longmaxi Formation is measured via the free hydrocarbon concentration method, and the diffusion ability, influencing factors, and seepage flow are discussed. Results show that the diffusion coefficient of the Longmaxi Formation is between 1.23 Â 10 À5 and 2.98 Â 10 À5 cm 2 s À1 with an average value of 2.19 Â 10 À5 cm 2 s À1 (confining pressure 3.0 MPa). The diffusion coefficient is calculated for various pressures using an empirical formula (D ¼ 0.339K 0.67 /M 0.5) and experimentally measured data. The estimated, temperaturecorrected diffusion coefficient of the Longmaxi Formation is 3.94 Â 10 À6-7.24 Â 10 À6 cm 2 s À1 with an average value of 5.28 Â 10 À6 cm 2 s À1 for depths from 1000 to 3000 m (confining pressure 16.7-39.7 MPa). The diffusion coefficient increases with increasing depth of the reservoir due to the changes in pressure and temperature. Fitting parameters show that the porosity of the reservoir and clay minerals is positively correlated with the diffusion coefficient, and the diffusion coefficient is also related to factors such as total organic carbon and the maximum reflectance of vitrinite (Ro). The diffusion flow rate is 0.177-0.204 m 3 d À1 with an average of 0.182 m 3 d À1. Linear seepage flow is 4.95 Â 10 À4-14.29 Â 10 À4 m 3 d À1 with an average of 8.87 Â 10 À4 m 3 d À1 , calculated from the diffusion coefficient and permeability per unit flow. These results indicate that the migration of shale gas in the deep region of the reservoir is mainly by diffusion. Therefore, diffusion is an important shale gas flow mechanism.

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“…While the transport and reaction process inside a single pore was described in an integral way without further discretization. 20 The direct pore-scale model based on the lattice Boltzmann method (LBM) can reflect real pore structures, which has been successfully applied in the studies of fuel cell electrode, 21 carbon dioxide storage, 22 and shale gas transport. 23 In this work, a direct pore-scale model considering the change of porosity caused by coke deposition is established and implemented to simulate the pore-scale coke deposition process inside the catalyst particle under the framework of the LBM.…”

Section: Introductionmentioning

confidence: 99%

“…While the transport and reaction process inside a single pore was described in an integral way without further discretization 20 . The direct pore‐scale model based on the lattice Boltzmann method (LBM) can reflect real pore structures, which has been successfully applied in the studies of fuel cell electrode, 21 carbon dioxide storage, 22 and shale gas transport 23 …”

Section: Introductionmentioning

confidence: 99%

Pore‐scale study of reactive transfer process involving coke deposition via lattice Boltzmann method

Wang

Yang

2021

AIChE Journal

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Coke deposition during catalytic industrial processes can lead to the narrowing and blockage of pore structures inside particles so as to influence the catalyst performance. In this work, a direct pore-scale simulation is carried out by the lattice Boltzmann method to investigate the change of pore structures caused by coke formation. Coke deposition processes in the single pore and complex porous medium

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Reactive transport in porous media for CO 2 sequestration: Pore scale modeling using the lattice Boltzmann method

Cited by 39 publications

References 31 publications

6. Multiphase Multicomponent Reactive Transport and Flow Modeling

6. Multiphase Multicomponent Reactive Transport and Flow Modeling

Reservoir diffusion properties of the Longmaxi shale in Shizhu area, Southern Sichuan basin, China

Pore‐scale study of reactive transfer process involving coke deposition via lattice Boltzmann method

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