Investigation on CO2 permeation in water-saturated porous media with disordered pore sizes

Lv, Pengfei; Liu, Yu; Yang, Wenzhe

doi:10.1016/j.expthermflusci.2020.110207

Cited by 6 publications

(3 citation statements)

References 50 publications

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“…This is attributed to the ʺgas channelingʺ phenomenon when CO2 is injected upward, but the cause of the ʺgas channelingʺ phenomenon was not discussed in depth. Lv et al [65] combined the CT scanning technique and a micromodel to study the flow process of CO2-brine in the pore structures at different injection rates under static and transient conditions. The results showed that a higher injection rate gives rise to a higher displacement efficiency but a lower sweep efficiency.…”

Section: Two-phase Flow Law In Co2 Microscopic Flowmentioning

confidence: 99%

Microscopic Flow of CO<sub>2</sub> in Complex Pore Structures: A Recent 10-Year Review

Liu¹,

Li²,

Liang³

et al. 2023

Preprint

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To prevent CO2 leakage and ensure the safety of long-term CO2 storage, it is essential to investigate the flow mechanism of CO2 in complex pore structures at the pore scale. This study focuses on reviewing the experimental, theoretical, and numerical simulation studies on the microscopic flow of CO2 in complex pore structures during the last decade. For example, advanced imaging techniques, such as X-ray computed tomography (CT) and nuclear magnetic resonance (NMR), are used to reconstruct the complex pore structures of rocks. Mathematical methods, such as Darcy's law, Young–Laplace’s law, and the Navier-Stokes equation, are used to describe the microscopic flow of CO2. Numerical methods, such as the lattice Boltzmann method (LBM) and pore network (PN) model, are used for numerical simulation. The application of these experimental and theoretical models and numerical simulation studies is discussed, considering the effect of complex pore structures. Finally, future research is suggested to focus on: (1) Conducting real-time CT scanning experiments of CO2 displacement combined with the developed real-time CT scanning clamping device to realize real-time visualization and provide quantitative description of the flow behavior of CO2 in complex pore structures; (2) The effect of pore structures change on the CO2 flow mechanism caused by the chemical reaction between CO2 and the pore surface, the flow theory of CO2 considering wettability and damage theory in a complex pore structures; (3) The flow mechanism of multi-phase CO2 in complex pore structures; (4) The flow mechanism of CO2 in the pore structures at multiscale and the scale upgrade from microscopic to mesoscopic to macroscopic. Generally, this study focuses on reviewing the research progress of CO2 flow mechanisms in complex pore structures at the pore scale and affords an overview of potential advanced developments to enhance the current understanding of CO2 microscopic flow mechanisms.

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Section: Two-phase Flow Law In Co2 Microscopic Flowmentioning

confidence: 99%

Microscopic Flow of CO<sub>2</sub> in Complex Pore Structures: A Recent 10-Year Review

Liu¹,

Li²,

Liang³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…This was attributed to the "gas channeling" phenomenon when CO 2 was injected upward, but the cause of the "gas channeling" phenomenon was not discussed in depth. Lv et al [49] combined the CT scanning technique and a micromodel to study the flow process of CO 2 -brine in the pore structures at different injection rates under static and transient conditions. The results showed that a higher injection rate caused a higher displacement efficiency but a lower sweep efficiency.…”

Section: Two-phase Flow Law In Co 2 Microscopic Flowmentioning

confidence: 99%

Microscopic Flow of CO2 in Complex Pore Structures: A Recent 10-Year Review

Liu,

Li,

Liang

et al. 2023

Sustainability

View full text Add to dashboard Cite

To prevent CO2 leakage and ensure the safety of long-term CO2 storage, it is essential to investigate the flow mechanism of CO2 in complex pore structures at the pore scale. This study focused on reviewing the experimental, theoretical, and numerical simulation studies on the microscopic flow of CO2 in complex pore structures during the last decade. For example, advanced imaging techniques, such as X-ray computed tomography (CT) and nuclear magnetic resonance (NMR), have been used to reconstruct the complex pore structures of rocks. Mathematical methods, such as Darcy’s law, the Young–Laplace law, and the Navier-Stokes equation, have been used to describe the microscopic flow of CO2. Numerical methods, such as the lattice Boltzmann method (LBM) and pore network (PN) model, have been used for numerical simulations. The application of these experimental and theoretical models and numerical simulation studies is discussed, considering the effect of complex pore structures. Finally, future research is suggested to focus on the following. (1) Conducting real-time CT scanning experiments of CO2 displacement combined with the developed real-time CT scanning clamping device to achieve real-time visualization and provide a quantitative description of the flow behavior of CO2 in complex pore structures. (2) The effect of pore structures changes on the CO2 flow mechanism caused by the chemical reaction between CO2 and the pore surface, i.e., the flow theory of CO2 considering wettability and damage theory in a complex pore structures. (3) The flow mechanism of multi-phase CO2 in complex pore structures. (4) The flow mechanism of CO2 in pore structures at multiscale and the scale upgrade from microscopic to mesoscopic to macroscopic. Generally, this study focused on reviewing the research progress of CO2 flow mechanisms in complex pore structures at the pore scale and provides an overview of the potential advanced developments for enhancing the current understanding of CO2 microscopic flow mechanisms.

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“…Reservoir porosity is a key controlling parameter for CO 2 storage potential (Goudarzi et al, 2019;Lv et al, 2020). Porosity is the ratio of the volume of pores in a rock to the total volume of the rock.…”

Section: Effective Porositymentioning

confidence: 99%

An automatic modeling approach for the potential evaluation of CO2 geological storage in the deep saline aquifer

Jing

Zhou

et al. 2022

Front. Energy Res.

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Geological storage of carbon dioxide is receiving more and more attention as one of the efficient carbon reduction technologies, as China's carbon-neutral strategic plan moves forward. There is an increasing demand for more effective and thorough methodologies to assess the potential of CO 2 storage in deep saline aquifers. This study proposes a method for evaluating the geological storage potential of CO 2 in deep saline aquifers and constructs an automatic evaluation system for the comprehensive potential of CO 2 geological storage using ArcGIS Model Builder visual modeling technology. The automatic evaluation system consists of four functional parts: information collating and database constructing, data pre-processing, model building evaluation and result validation evaluation. First, structured and unstructured data including underlying geology, tectonic geology, oil and gas geology, and drilling data are collated and established in a geodatabase. Second, pre-processing models of the deep saline reservoir-caprock data are established based on the analysis of the geological evolution history of the study area to determine the effective storage thickness, effective porosity, and the influence range of faults; kriging methods are then used to realize the spatial interpolation of the evaluation parameters. Third, the volume coefficient method is adopted to construct the underground storage space model and to establish the density distribution model of the supercritical CO 2 with nonlinear function while taking into account four evaluation factors (i.e. area, effective porosity, effective thickness, effective coefficient) and two limiting factors (i.e. fault, burial depth). Finally, the geological storage potential of CO 2 in the study area is evaluated with the classification of the potential level and compared with the numerical simulation results to verify the model's accuracy. The model is first applied in this paper using a suitable target in China as a case study. The results show that this target area's anticipated storage potential value reaches 52.557 Mt. The total precision error, according to a comparison of the numerical simulation results, is 8.20%. Based on the results obtained, it can be concluded that the automatic GIS-based modeling approach is suitable for a comparable study of potential evaluation of CO 2 geological storage in deep saline aquifers.

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Investigation on CO2 permeation in water-saturated porous media with disordered pore sizes

Cited by 6 publications

References 50 publications

Microscopic Flow of CO<sub>2</sub> in Complex Pore Structures: A Recent 10-Year Review

Microscopic Flow of CO<sub>2</sub> in Complex Pore Structures: A Recent 10-Year Review

Microscopic Flow of CO2 in Complex Pore Structures: A Recent 10-Year Review

An automatic modeling approach for the potential evaluation of CO2 geological storage in the deep saline aquifer

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