1. Introduction
Because of the increasing greenhouse effect as well as acute global climate and environmental problems, countries worldwide have reached a consensus to actively respond to climate change and reduce greenhouse gas emissions [
1,
2,
3,
4,
5]. As industrialization has continued since the industrial revolution, the use of fossil fuels has been increasing, and large amounts of CO
2 gas have been directly discharged into the air, which is one of the main reasons for the intensification of the greenhouse effect [
6,
7,
8,
9]. CO
2 emissions have caused a series of environmental problems, such as drought, glacier melting, and sea level rise, which have caused incalculable harm to the environment on which human beings depend [
10]. At present, many technologies are available to control CO
2 emissions, such as improving the efficiency of fossil energy combustion, efficient development and utilization of green and clean energy, and carbon capture and storage (CCS) [
11]. CCS refers to the use of separation and purification technology to collect a large amount of CO
2 from industrial waste gas and inject it into appropriate underground reservoirs for permanent storage [
12,
13], which is recognized as one of the effective methods to manage CO
2 [
14,
15,
16,
17]. The main storage geological layers include abandoned mines, unrecoverable coal seams, depleted oil and gas fields, deep saline aquifers, and the ocean [
18,
19,
20]. The storage depth is generally below 800 m. CO
2 geological storage is the most important part of CCS, and the storage capacity and safety of geological storage bodies determine the effectiveness of CO
2 emission control [
21]. However, the complexity [
22], heterogeneity, and wettability of the pores directly affect the flow behavior of CO
2 in reservoirs. Therefore, investigating the CO
2 flow law and revealing the CO
2 microscopic flow mechanism have become key to evaluating the storage capacity and safety of geological storage bodies.
Numerous studies have been conducted on the flow of CO
2 in geological storage bodies. Lassen et al. [
23] injected gaseous CO
2 into heterogeneous porous media at different rates, and the flow of CO
2 was monitored by sensors. The results showed that large-scale heterogeneity controlled the overall migration of gaseous CO
2 in porous media, whereas a smaller scale was important for gas saturation. The higher the injection rate, the larger the transverse diffusion of the gas phase. Zhang et al. [
24] proposed that Darcy’s law can be used to describe two-phase fluid flow in porous media at the macroscopic scale. Saleem et al. [
25] compared and verified the constructed two-phase flow model with field observation data, such as CO
2 eruption time, changes in sediment pH, gas leakage rate, the flow process, fluid interaction, and CO
2 dissolution in the CO
2 plume. The results showed that the CO
2 plume was formed and developed at a stable rate during the flow process, and the dissolution rate increased with an increase in the injection rate. These studies elucidated the flow of CO
2 from a macroscopic perspective. However, the flow behavior of CO
2 in a storage body is easily affected by its complex pore structures. In macroscale research, the complex pore structures of the storage body has not been accurately characterized. The research results are also based on macroscale flow and often ignore the effect of pore structure complexity. Therefore, an accurate description of the microscopic flow of CO
2 is crucial for determining the storage capacity and long-term safety [
26,
27,
28].
X-ray Computed Tomography (CT) and Nuclear Magnetic Resonance (NMR), as non-invasive, non-destructive advanced imaging technologies [
29,
30], have the advantage of being able to reconstruct the complex pore structures of cores [
31,
32] and obtain key parameters, such as porosity, permeability, contact angle, and capillary number. Visualization and quantitative characterization of the complex pore structures at the microscopic scale can be realized [
11]. Berg and Dalton et al. [
33,
34] obtained an accurate complex pore structures of sandstone and investigated the effects of permeability and wettability on CO
2 flow behavior. Liu et al. [
35,
36] first used a new reconstruction method to establish the fracture-controlled matrix unit then used the CT scanning technique to obtain the relevant parameters of the proposed fracture control matrix unit mass transfer model. The correctness of the model was verified by comparison with the experimental results of microscopic spontaneous imbibition. Liu et al. [
37,
38] studied the dynamic production process of a fractured reservoir and the influence of a complex pore structure on the imbibition recovery based on a fracture-controlled matrix unit. Liu et al. [
39] performed microscopic spontaneous imbibition experiments, CT scans, and NMR tests on two mixed wetted core samples. The impact of mixed wettability on micro-spontaneous imbibition at the pore scale was investigated. The results showed that effective imbibition can be produced as long as water-wet walls are present in mixed wettability pores. Furthermore, a core-scale mixed wettability model was established by Liu et al. [
40], and based on the phase-field theory, the influence of wettability on oil-water two-phase imbibition was studied
. In addition, Liu and Song et al. [
41,
42] proposed two new modeling methods based on CT scanning: the finite volume element modeling method (
Figure 1a) and the pore network model based on the maximum sphere algorithm (
Figure 1b). The feasibility of the model was verified.
In addition, experts have conducted several theoretical and numerical simulations on the flow mechanism of CO
2 at the macroscale. Krause et al. [
43] carried out a numerical simulation study of CO
2-brine two-phase flow using the modified Carman-Kozeny equation. The distribution of CO
2-brine in the core was predicted. Theoretical studies and numerical simulations at the macroscale play a crucial role in revealing the flow mechanism of CO
2. However, the complex pore structures have a very important effect on CO
2 microscopic flow. The lack of mathematical and numerical models that consider the influence of pore structure complexity and may lead to bias in the conclusions.
Figure 1.
The new modeling method based on CT images: (a) Images of reconstructed porous samples in finite volume elements of pore space (b) EPNMs of rock samples [
41,
42]
.
Figure 1.
The new modeling method based on CT images: (a) Images of reconstructed porous samples in finite volume elements of pore space (b) EPNMs of rock samples [
41,
42]
.
To this end, we collated and analyzed relevant literature on the microscopic flow of CO2. In particular, the complex pore structures substantially affected the CO2 microscopic flow mechanism. At present, experimental methods, theoretical analysis, and numerical simulations are advanced owing to the pore structure complexity of geological storage bodies, which is difficult to accurately express in physical model reconstruction, mathematical model characterization, and numerical model construction. Therefore, it is challenging to clearly reveal the microscopic flow mechanism of CO2 in a complex pore structure. To solve this problem, this study systematically reviews recent advances in the microscopic flow of CO2 in complex pore structures in the last decade to provide some technical and theoretical support for CO2 geological storage. Overall, this review article focuses on the effects of complex pore structures on the microscopic flow behavior of CO2 through three aspects: experimental studies, theoretical studies, and numerical simulations. It aims to enhance the current understanding of the CO2 microscopic flow mechanism. Finally, potential challenges and new research directions for future work are identified and elucidated.
3. Theoretical model of CO2 flow in pore structures
Theory is the cornerstone of all experiments and numerical simulations, and continuous improvement of the theory is the premise of studying the microscopic flow mechanism of CO
2. Darcy’s law [
82] is one of the classical theories describing the macroscopic flow law of fluid in porous media, which is applicable to single- and multiphase fluid flow in loose sand columns, consolidated sandstone, and other dense porous media [
83,
84].
Zhang et al.[
24] proposed Darcy’s law to describe two-phase fluid flow in porous media at the macroscopic scale:
where
q is the flow flux, m
3/s;
k is the absolute permeability, m
2;
kr is the relative permeability,
μ is the viscosity of a fluid, Pa·s; ∇
P is the pressure gradient, Pa; and
α=1 and 2 are the two phases of a fluid.
Berg et al.[
33] used Darcy’s law for two-phase flows to establish a mathematical model. The migration and mass transfer behaviors of saturated and unsaturated CO
2-brine system in sandstone were studied. The governing equations are as follows:
Equation (2) describes the mass balance of CO2 and water. The saturation of the wetting phase (water or brine, i=w) and the non-wetting phase (CO2, i=nw) satisfies Sw+Snw=1. The flux of the phasesis described by Darcy’s law extending to two-phase flow, m/s; where φ is the porosity, K is the absolute permeability of the rock, m2; μi is the viscosity of the fluids, Pa·s; ρi is the density of the fluids, kg/m3; and g is the gravity constant, m/s2.
However, in the process of CO
2 displacement, it is difficult to accurately capture the spatiotemporal variation of the interface of an immiscible two-phase fluid in the pore structures. For this reason, Porter et al.[
85] redefined the simple expression of pressure in the absence of CO
2 gas, considering the pressure drop caused by flow and heterogeneity, which can reliably predict the position of the single-phase to multiphase flow transition:
where
Pcr is the critical pressure, Pa;
Psat is the hydrostatic pressure, Pa;
μ is the viscosity of water, Pa·s;
q is the injection rate of CO
2 saturated water, m/s;
L is the location of the bottom of the porous media, mm;
Zp is the location of the top of the porous media, mm; and
keff is the vertical (harmonic) averaged effective permeability, m
2.
So far, Darcy’s law has successfully solved many CO
2 geological storage safety problems [
86,
87,
88]. However, it also has some limitations; for example, in the case of high velocity flow, high Reynolds number (Re), and nonlinear flow, turbulent flow will occur in the complex pore structures, and Darcy’s law is no longer applicable. Therefore, many scholars have proposed the use of the extended form or combined with the actual situation to appropriately modify Darcy’s law to study single-phase CO
2 flow, CO
2-brine, or other miscible or immiscible flow behaviors at the pore scale.
Kogure et al.[
63] proposed the extended Darcy’s law to calculate the relative permeability of porous sandstone in the CO
2-water system at the sub-core scale, and the flow behavior of CO
2 was studied:
where
Qi is the flow rate of each fluid, m
3/s;
kri is the relative permeability,
kabs is the absolute permeability, m
2;
A is the cross-sectional area of the sample, m
2;
L is the length of the sample, m;
ΔP is the pressure difference of the sample, Pa;
μi is the viscosity of the fluid, Pa·s;
ρi is the density of the fluid, kg/m
3; and
g is the acceleration of gravity, m/s
2.
However, the above scholars first determined the permeability of a complex pore structure based on Darcy’s law, then the flow behavior of CO
2 in the complex pore structures was studied, a very complicated process. Therefore, Wang et al.[
89] used the extended form of Darcy’s law to describe the flow behavior of CO
2-water in the pore structures:
where
v denotes the Darcy velocity, m/s;
K is the intrinsic permeability tensor, m
2;
kr is the relative permeability of the fluid phase,
μ denotes the viscosity, Pa·s;
ρ represents the density, kg/m
3;
P represents the pressure of the fluid phase, Pa; and
g is the gravity vector, m/s
2.
Besides Darcy’s law, the microscopic flow of CO
2 can be effectively calculated based on the Young-Laplace law and Navier-Stokes equation. Chapman et al.[
90] used the Young-Laplace law to calculate the displacement sequence in the node of the pore network model for predicting CO
2 displacement. The governing equation is as follows:
Pc is the capillary pressure, Pa; γ is the interfacial tension, N/m; θ is the contact angle, °; h is the height of the channel, mm; and w is the width of the channel, mm.
Ovaysi and Piri [
91] simulated the microscopic flow of CO
2 in a deep saline solution as follows:
where
v is the velocity vector, m/s;
μ is the viscosity, Pa·s;
ρ is the density, kg/m
3;
g is the gravity vector, m/s
2; and
P is the pressure, Pa.
Although many theoretical models have been used to reveal the flow mechanism of CO2 in complex pore structures, some existing mathematical equations have weak universality. In particular, CO2 reacts with other fluid phases and pore surfaces during the flow process, resulting in pore structures damage and changes in the flow of CO2. In conclusion, theoretical models considering wettability and damage effects are rare; therefore, it is necessary to further study the flow theory of CO2 considering wettability and damage theory in complex pore structures.
5. Conclusions and outlook
CO2 flow is easily affected by reservoir complexity. The microscopic flow mechanism of CO2 is the key to revealing the flow mechanism of CO2 in the storage body, which is of great importance for evaluating the safety and effects of CO2 geological storage. This article thereby provides a systematic and comprehensive review for the last decade on the microscopic flow of CO2 in the complex pore structures by experimental research, theoretical research, and numerical simulation. Moreover, the understanding of the microscopic flow mechanism of CO2 in the complex pore structures was improved. It can be elucidated that pore structure complexity substantially impacts the microscopic flow process of CO2, and its influence on wettability and damage needs to be further explored.
By considering the real-time visualization technology, multiphase, multiscale, damage mechanism, and wettability, future research directions on the microscopic flow mechanism of CO2 may be anticipated:
(1) Future studies should carry out real-time CT scanning experiments for CO2 displacement in combination with the research and development of a CO2 microscopic flow real-time CT scanning clamping device to realize real-time visualization and quantitative description of CO2 flow behavior in complex pore structures.
(2) The flow mechanism of single-phase CO2 in complex pore structures has been extensively studied, but few studies investigated the micro-flow mechanism of multiphase CO2. It is suggested that more attention should be paid to the microscopic flow mechanism of multiphase CO2 in complex pore structures in the future.
(3) CO2 geological storage should meet the needs of long-term storage and wide range. It is suggested to explore the flow mechanism of CO2 in complex pore structures at multiscale to realize the upgrading from micro, mesoscopic to macro scales, which is of great importance for evaluating the long-term safety of CO2 geological storage.
(4) In the process of CO2 flow, chemical reactions occur with the pore surface, and the dissolution or precipitation of minerals changes the pore structures, which has a non-negligible impact on the microscopic flow mechanism of CO2. In the future, attention should be paid to the influence of changes in the pore structures caused by chemical reactions on the microscopic flow mechanism of CO2. The effects of wettability and damage are considered in the theoretical model study.
(5) The characteristics of the complex pore structures and wettability model are simplified, which cannot reflect the actual in situ conditions of the geological storage body. In the future, attention should be paid to the pore structure complexity and complex mixed wettability conditions. In addition, an accurate pore network numerical model of the geological storage body should be established for numerical simulation. The calculation rate and accuracy of the numerical experiment should also be improved.