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Impact of water on miscibility characteristics of the CO2/n-hexadecane system using the pendant drop shape analysis method
⁎Corresponding author. du-dongxing@qust.edu.cn (Dongxing Du)
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Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Peer review under responsibility of King Saud University.
Abstract
Miscible CO2 flooding has shown bright prospects for improving oil recovery from unconventional reservoirs as well as for storing greenhouse gas in underground formations. Although the favorable water presence effect has been reported in the near miscible CO2 flooding practices, there is still a lack of target research works on the impact of water on the miscibility characteristics of the oil/gas systems. Therefore in this paper, the effect of water presence on the Minimum Miscibility Pressure (MMP) of the CO2/n-Hexadecane (n-C16H34) system is experimentally investigated based on the Oil Droplet Volume Measurement (ODVM) method. By pre-saturating CO2 with water in the high-pressure high-temperature cell, the water component is introduced at the CO2/oil interface. Measurement results show the water presence could result in lower MMPs of the CO2/oil system. Under five temperature levels of 40 °C, 51 °C, 61 °C, 72 °C, and 82 °C, the water presence decreases the MMPs of the CO2/n-C16H34 system from 8.2 to 7.8 MPa, from 9.6 to 8.8 MPa, from 11.6 to 10.2 MPa, from 13.0 MPa to 12.2 MPa and from 14.6 MPa to 13.2 MPa respectively. Thermodynamic calculations provide consistent results as the experimental observations, indicating the main mechanism behind the lower MMPs of the water presence CO2/oil system could be the decreased CO2 molar fraction in the water presence system. This research is expected to provide an innovative viewpoint to understand the water presence effect in the CO2 flooding processes.
Keywords
Minimum miscibility pressure
CO2/oil system
Water presence effect
Oil Droplet Volume Measurement method
1 Introduction
Injecting CO2 into underground formations is currently one of the most promising technologies for enhancing oil recovery in mature and unconventional reservoirs as well as fulfilling long-term greenhouse gas geological storage practices (Cui et al., 2021; Du et al., 2015, 2016, 2018, 2019a, 2020; Li et al., 2021; Li et al., 2022; Song et al., 2022a, 2022b; Wei et al., 2021; Zhang et al., 2019). Depending on the miscibility condition of the CO2/oil system, CO2 injection can be divided into two categories, that is, the immiscible and the miscible processes. In a miscible CO2 flooding process, the oil recovery could be dramatically increased due to the accelerating molecular diffusion between the CO2/oil phases and the diminishing phase interfacial tension (IFT) (Cai et al., 2021; Cui et al., 2023; Du et al., 2021a; Yu et al., 2020). Accordingly, the miscibility characteristics of the CO2/oil system is becoming an attractive research aspect in recent years.
One of the critical parameters to characterize the miscibility condition of the CO2/oil system is the Minimum Miscibility Pressure (MMP), under which the two-phase system could finally obtain a homogeneous one-phase situation. To date, the MMP measurement techniques could be lumped into two categories, namely the displacement methods and interfacial behavior measurements (Dindoruk et al., 2021). The displacement methods could be performed in slim tubes, cores, and long capillary tubes (Adekunle and Hoffman, 2016; Flock and Nouar, 1984), and interfacial behavior measurements mainly consist of Rising Bubble Apparatus (RBA)(Christiansen and Haines, 1987; Novosad et al., 1990; Zhang et al., 2018), Vanishing Interfacial Tension (VIT) (Rao, 1997) and micro-fluidic techniques (Nguyen et al., 2015; Ungar et al., 2022). Although is usually taken as the standard procedure for MMP measurement, the displacement method suffers from long operation time and the result uncertainties created by dispersive mixing and different criteria (Dindoruk et al., 2021; Yellig and Metcalfe, 1980; Zhao et al., 2021). In the category of the interfacial measurement methods, on the other hand, the RBA method may generate subjective results due to the fact it predicts system MMPs based on visual observations, while there is still lack of extensive studies to develop the systematic procedure for micro-fluidics techniques either (Dindoruk et al., 2021).
Based on quantifying the two-phase interface characteristics in the state-of-the-art pendant drop shape analyzer, the VIT method has been extensively employed due to its quick and effective measurement procedure. The VIT method was first proposed by Rao (1997) by extrapolating the interfacial tension to zero against the pressure based on the principle that the interfacial tension should disappear when the contacting two phases can fully mix with each other. Due to the time and economic advantages, the VIT method has been widely employed in MMP measurement works (Du et al., 2021b; Ma et al., 2022; Mutailipu et al., 2019; Rao and Lee, 2002, 2003). It is observed in some reported works, however, the measured lowest equilibrium IFT values are far above zero (usually at the level above 3mN/m) for crude oils with moderate and high carbon (C15+) compositions (Abedini and Torabi, 2014; Lashkarbolooki et al., 2017; Shang et al., 2017; Zhang et al., 2020). Without sound physical principles on extrapolation to zero in such a wide span of IFT values, the VIT method in some cases may only supply rough estimations of the system MMP values (Yu et al., 2020). Orr and Jessen (2007) and Jessen and Orr (2008) analyzed the accuracy as well as reliability of the VIT approach using phase equilibrium calculations and slim-tube experiments, and concluded the VIT could not act as a single source to provide reliable MMP results. Ghorbani et al. (2014) also pointed out that MMP obtained from the VIT method could cause overestimation as compared to the slim tube MMP.
By focusing on the dynamic oil droplet volume variation instead of on the instantaneous IFT values, Cui et al. (2022) proposed the Oil Droplet Volume Method (ODVM) and demonstrated its application on MMP determinations of the CO2/n-Hexadecane (n-C16H34) and the CO2/n-Octadecane (n-C18H38) system. Based on the thermodynamic principle that at the MMP point, the two contacting fluids could finally mix however at slow enough volume reduction rate, ODVM zooms in the IFT vanishing behavior in an efficient way. Performed in the state-of-the-art pendant droplet shape analyzer, the measurement technique based on monitoring the oil droplet volume has shown capabilities in characterizing the diffusion process between CO2 and oil as well (Du et al., 2019b; Liu et al., 2022b), which is substantial for understanding the dynamic miscibility behavior in porous media.
It is noticed that oil reservoirs always have high water content after primary and secondary oil recovery practices. Not only that, many underground formations contain edge water and bottom water in their structures as well (Hu et al., 2018), which makes the CO2 displacing oil process a typical multi-component multi-phase system consisting mainly of gas, oil, and water. It has been widely reported that water presence could lead to favorable oil recovery performance in the near miscible CO2 flooding processes, the mechanisms provided by the researchers behind their experimental observations, however, are quite different (Ajoma et al., 2021; Alhosani et al., 2019; Bui et al., 2010; Shyeh-Yung, 1999; Sohrabi et al., 2008). Few researchers have specifically addressed the impact of water on the miscibility characteristics of the CO2/oil system. In addition, up to now, in empirical correlations for estimating MMPs of the CO2/oil systems, the water concentration is not taken as an influential factor as well (Chen et al., 2020; Shokir, 2007; Shokrollahi et al., 2013; Zuo et al. 1993). Among the quite few reported laboratory works on the gas/water/oil system, Fathinasab et al. (2018) measured the MMPs of the gas (CO2 and N2) and water/oil emulsion systems and compared the results with the gas/oil system without the water content. Based on the bold use of the IFT extrapolation method, they showed the presence of water could increase MMP values in the N2-W/O emulsion system whereas shows no significant effect on the CO2-W/O emulsion system. Pi et al. (2021) measured the CO2-crude oil MMPs with the core flooding method and found the MMP of the CO2/oil system decreases with the increased water salinity. They didn’t perform the measurement at water-absence systems, therefore could not distinguish the impact of water on the miscibility characteristics of the CO2/oil system.
It is well recognized the miscibility characteristics of the water/oil/gas system are essential for guiding the CO2 flooding field applications, while there is still lack the target research works so far. In this paper, therefore, the miscibility characteristics of the CO2/oil/water system are experimentally investigated. By dissolving water in the CO2 phase, as similar to the case of water-saturated CO2 (Ajoma et al., 2020, 2021), the studied system could be reasonably treated as a two-phase (water-saturated CO2, oil), three-component (CO2, oil, and water) system. ODVM method is employed to determine the MMPs of the CO2/oil system with water presence under different temperature levels. The experimental observation is validated with the corresponding thermodynamics phase equilibrium calculations and the mechanism behind the water presence effect on the system miscibility characteristics is analyzed. It is expected the research works reported in this paper, including the novel MMP measurement technique for the multi-component system as well as the research outcomes, could help substantially the CO2 Enhanced Oil Recovery (EOR) and carbon geological storage practices.
2 Experiments
2.1 Experimental materials
In this study, CO2 with the purity of 99.9% is employed as the gas phase, and vacuumed deionized water is dissolved into CO2 to provide the water component in the CO2/oil system. The pure oil sample of n-hexadecane (n-C16H34, with molecular weight of 226.5, density of 770 kg/m3, and freezing point of 17–19 °C) is employed as the oil phase. The deionized water and pure oil sample are employed in this paper to focus on the mechanism behind the water present in the CO2/oil system without involving the salinity as well as the oil composite’s influences.
2.2 Experimental apparatus
The KRUSS DSA100HP optical measurement system, consisting of the KRUSS DSA100 Droplet Shape Analyzer and the EuroTechnica PD-E1700 high-temperature high-pressure (HTHP) gas/liquid supply device, is employed to conduct the MMP measurements of the CO2/oil system and the CO2/oil/water system (Cui et al., 2022; Liu et al. 2022b). The chamber temperature is measured by a thermocouple (Thermoexpert) with the uncertainty of 0.2 °C at 80 °C circumstance, and the system pressure is measured with the built-in pressure gauge (Armaturenbau GmbH) with the calibrated accuracy of 0.1% in the range of 0–100 MPa.
The schematic diagram as well as the physical image of the experimental apparatus is shown in Fig. 1 (a) and (b) respectively.
2.3 Experimental procedure
The procedure for measuring the MMP of the binary CO2/oil system has been described in detail by Cui et al. (2022). In short, with the help of the scientific software of KRUSS ADVANCE, the pendant oil shape variation with time is recorded and based on the shrinkage behavior of the oil droplet in a certain period, the MMPs of the CO2/oil system could be obtained. In this study, the MMPs of CO2/n-C16H34 were measured at first as the control group. For the two-phase three-component CO2/n-C16H34/H2O system, there need extra steps to supply water component into the system. The detailed procedure for measuring MMPs of the water presence system is described as follows,
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Remove the air from the test chamber with continuous CO2 injection for 5 min with the gas inlet and outlet valve open. Then close the gas inlet valve and partially close the liquid outlet valve.
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Inject deionized water from the gas outlet tube into the chamber. Continue the water injection until the water flow is observed through the liquid outlet and the accumulated water shows a clear surface at the bottom part of the chamber. Then close the liquid outlet.
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Flood the chamber again at atmospheric pressure with CO2 injection through the gas inlet to make sure the system contains only CO2 and water. Then close all the valves connecting to the test chamber.
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Heat the test chamber until the temperature inside the chamber reaches the designated value.
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Pressurize the chamber with continuous injection of CO2 through the gas inlet until the pressure inside the chamber approaches to the near-miscibility point of the studied system. The near miscibility pressure point is set after trial and error pre-tests.
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Maintain the system under designated pressure and temperature for 8 h to attain the quasi-thermodynamic equilibrium condition in which CO2 is assumed to be saturated with water component.
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Inject the oil from the capillary burette to form a stable pendant drop. Record the oil droplet volume with a CCD camera and analyze its volume variation history in the period of 300 s at 15 s intervals with the help of the software of ADVANCE. Fig. 2 shows a snapshot of the formed CO2/oil/water system inside the test chamber.
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Repeat step 7) three times to obtain consistent pendant drop variation results.
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Pressurize the chamber with CO2 injection to a higher pressure level, then stabilize the system for 10 min to cope with the slightly variant water solubility in CO2 at the elevated pressure (Zhao and Lvov, 2016). Then perform steps 7) and 8) again.
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Repeat steps 7) to 9) until the set of measurements has been finished under all the designated pressure levels. Determine the MMP of the CO2/oil/water system based on the quantitative criteria in the ODVM method, that is, 10% oil droplet reduction rate within a 300 s measurement period (Cui et al., 2022).
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Repeat steps 1) to 10) at another designated temperature to study the miscibility characteristics of the three component two phase system at a wider temperature range.
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After finishing one round of MMP measurements at different temperature conditions, the measurement is performed again by repeating steps 1) to 11) to make sure the consistency of the measured MMPs of the CO2/oil/water system.

As an example of the measurement procedure, Fig. 3 depicts the dynamic oil droplet volume variation results at system condition of 12.2 MPa and 72.1 °C. Following above mentioned step 8), three times of measurements (a, b and c) were performed to obtain reliable results. Table 1 lists in detail the pendant oil droplet volume values at different times in the three measurements, showing the consistent droplet volume shrinkage rate of over 10% within the 300 s’ measurement period that complies with the MMP determination criteria for the CO2/C15 + oil systems (Cui et al., 2022). Based on the repeatable results, the MMP of the CO2/n-C16H34/H2O system is determined, therefore, to be 12.2 MPa at 72.1 °C.
| Tests | 0 s | 50 s | 100 s | 150 s | 200 s | 250 s | 300 s | |
|---|---|---|---|---|---|---|---|---|
| a | 2.166 | 2.094 | 2.025 | 1.986 | 1.968 | 1.994 | 1.939 | −10.49% |
| b | 2.067 | 2.011 | 1.989 | 1.893 | 1.876 | 1.893 | 1.828 | −11.56% |
| c | 1.776 | 1.785 | 1.789 | 1.775 | 1.768 | 1.713 | 1.596 | −10.14% |
.
3 Results and discussions
3.1 Validation study based on MMP results of the binary CO2/n-C16H34 system
To validate the accuracy of the measurement results, we measured the MMPs of the binary CO2/n-C16H34 system at different temperature conditions and compared the measured results with the reported experimental results (Cui et al., 2022) and the predictions from the phase equilibrium data (D’souza et al., 1988). To make comparisons with the phase equilibrium data, at first we estimate the CO2 molar fraction in the binary mixture interface region based on the equal-volume ideal mixing assumption under the measured MMP conditions, then determine the phase equilibrium predicted MMPs of the CO2/oil system as the pressure where the CO2 solubility equals to the interfacial CO2 molar fraction.
Fig. 4 plots the measured (in upper triangular dots) together with the fit line (in dashed line) of the MMP results of the binary system in the temperature range of 40∼82 °C. A clear linear relationship between system MMPs and temperatures is observed and can be fit as,

To make clear comparisons, the literature reported MMP measurement results (in solid line by Cui et al., 2022), as well as the phase equilibrium calculated MMP values (in lower triangular dots by D’souza et al., 1988) of the binary CO2/n-C16H34 system are also plotted in Fig. 4. The Absolute Deviation (AD) and the Average Absolute Deviation (AAD), which are defined as Eqs. (2) and (3) respectively (Wang et al., 2021), are employed as the evaluation indicator of the accuracy of the measurement results in this study.
Based on the comparative results, as shown in Fig. 4, it is calculated the maximal AD value is less than 6.6% and the AAD value is less than 4%, which validates, therefore, the reliability and the accuracy of the measurement technique employed in this paper.
3.2 Water presence effect on MMPs of the CO2/n-C16H34 system
To make clear vision of the water presence effect on the miscibility characteristics of the CO2/n-C16H34 system, Fig. 5 shows, as a representative case, the oil droplet volume variation history of the CO2/oil system and CO2/oil/water system in the very close pressure conditions of 12.6 MPa and 12.2 MPa at temperature of 72.1 °C. It is clearly observed from Fig. 5 (a) that the oil droplet increases from 1.099 μL to 1.364 μL in the CO2/oil system at 12.6 MPa, indicating the immiscible condition between CO2 and n-C16H34. Whereas in the water presence system, as shown Fig. 5(b), the oil droplet volume decreases from 1.776 μL to 1.596 μL in 300 s, showing the obvious miscible behavior based on the quantitative criterion of 10% volume reduction in 300 s as adopted by the ODVM technique (Cui et al., 2022). It is concluded, therefore, the presence of water results in the decreased MMP of the CO2/n-C16H34 system to 12.2 MPa, under which the water-free CO2/n-C16H34 still stands as an immiscible system.
To reveal the MMP determination processes for the water presence CO2/n-C16H34 system, Fig. 6 (a)-(e) plot the oil volume variation histories at different pressure levels under various temperatures of 40.5 °C, 51.7 °C, 61.2 °C, 72.1 °C and 82.3 °C respectively. The detailed oil droplet volume variation results in three time measurements, as mentioned as step 8) in Section 2.3, are supplemented in Appendix as Tables A1–A5 for the five different temperatures.
In Fig. 6 (a), it is observed at 6.4 MPa and 7.0 MPa, the pendant oil swells with the elapsing time, showing the obvious immiscible behavior. Whereas under the pressure of 8.4 and 9.0 MPa, the oil droplet shrinks so fast that the system is expected to well exceed the MMP point. Under the pressure of 7.8 MPa, on the other hand, oil droplet shows the volume reduction rate of 10% in the period of 300 s, which complies with criterion as employed by the ODVM technique (Cui et al., 2022). Accordingly, the pressure of 7.8 MPa is determined as the MMP of the CO2/n-C16H34/H2O system at temperature of 40.5 °C. In the similar manner, the MMPs of the CO2/n-C16H34/H2O system under different temperatures of 51.7 °C, 61.2 °C, 72.1 °C and 82.3 °C have been determined to be 8.8 MPa, 10.2 MPa, 12.2 MPa and 13.2 MPa respectively based on measurement results in Fig. 6 (b)-(e).
Fig. 7 compares the MMPs of the CO2/n-C16H34 system with or without water presence at five temperatures in the range 40–82 °C. The measurement error of
, which corresponds to the pressure gauge accuracy as pointed out in previous Section 2.1, is plotted together with the measurement results as well in the figure. It is clearly observed the water presence could unanimously reduce the MMPs of the CO2/n-C16H34 system, namely, from 8.2 to 7.8 MPa, from 9.6 to 8.8 MPa, from 11.6 to 10.2 MPa, from 13.0 to 12.2 MPa, and from 14.6 to 13.2 MPa at temperature levels of 40 °C, 51 °C, 61 °C, 72 °C and 82 °C respectively.
It has to be pointed out in the water-CO2 coexistence system, CO2 chemistry in aqueous solutions always rise as an important factor. For instance, the sufficient dissolution of CO2 in the water phase could reduce the PH values of the aqueous phase and the PH decrease effect relates tightly to system temperatures (Hunter and Savage, 2003). In our study, on the other hand, the MMPs of the CO2/n-C16H34/H2O system are determined based on pendant drop volume analysis, where the oil droplet directly contact the CO2-rich phase instead of the aqueous phase, therefore the PH variation in aqueous phase on MMPs of the CO2/oil system can be reasonably neglected. The reasons behind the dissolved water on the MMP variations of the CO2/oil system are analyzed in Section 3.3 based on the thermodynamic calculations, and further discussions on significances of the research are provided in the following Section 3.4.
3.3 Thermodynamic calculations
To understand the water presence effect on lowering MMPs of the CO2/oil system, thermodynamic phase equilibrium calculations are carried out and the corresponding results are provided in this section. Based on the physical model in our previous work (Wang et al., 2021), as shown in Fig. 8 the three-component two-phase system in the interfacial region, the phase behavior of the CO2/oil/water system is investigated.
In the thermodynamic calculations, we employed the P-R EOS model (Peng and Robinson, 1976). Although was most commonly employed in the nonpolar substances system such as CO2/hydrocarbons, P-R EOS has found wide applications on the water containing system as well. The typical operation is to modify the alpha term and the binary interaction parameter (BIP) in the P-R EOS, thus to reproduce accurately the phase behavior of the gas/water or gas/brine system (Liu et al., 2022a; Søreide and Whitson, 1992). In our previous work (Wang et al., 2021), we have testified the specified alpha term and BIPs for the CO2/oil, CO2/water and oil/water couples, as well as the way to introduce water component in the two-phase three-component system. In consistent with experimental observations that there is no water condensation, the thermodynamic calculation doesn’t encounter the multiphase situation either. Specifically, we employed the following modified alpha and BIP terms for the calculation of the mutual solubility between the CO2 and water.
The alpha function of H2O is listed in Eq. (4) (D’souza et al., 1988),
We employed two independent BIPs (Poirier, 2012)(kij ≠ kji,), as listed in Eq. (5) and Eq. (6), in the thermodynamic calculations for the binary CO2/H2O system (Wang et al., 2021).
To show clearly the water effect on miscibility characteristics of the CO2/n-C16H34 system, Table 2 and Table 3 comparatively list the MMP results, calculated together with measured, of the binary CO2/oil systems and the water presence CO2/oil system in the temperature range 40–82 °C. In these two tables, the comparisons between the calculated and the measured MMP results show the AAD of 6.2% and 6.3% respectively, both lie below the acceptable discrepancy range of 8% (Chabab et al., 2019), therefore validates the calculation results. Through detailed comparisons between Table 2 and Table 3, calculation results clearly show as well the water presence could reduce the MMP values of the CO2/n-C16H34 system, namely, from 8.95 to 8.5 MPa, from 10.6 to 9.85 MPa, from 12.3 to 10.7 MPa, from 13.5 to 11.6 MPa and from 14.0 to 13.1 MPa at different temperature levels of 40 °C, 51°C, 61°C, 71 °C and 82 °C respectively.
| 40.3 °C | 50.4 °C | 61.1 °C | 71.6 °C | 82 °C | |
|---|---|---|---|---|---|
| Cal. without water MMP (MPa) | 8.95 | 10.6 | 12.3 | 13.5 | 14.0 |
| Exp. without waterMMP (MPa) |
8.2 | 9.8 | 11.6 | 13.0 | 14.6 |
| AD-(Cal vs. Exp) | 9.1% | 8.2% | 6.0% | 3.8% | 4.1% |
| AAD-(Cal vs. Exp) | 6.2% | ||||
| 40.5 °C | 51.7 °C | 61.2 °C | 72.1 °C | 82.3 °C | |
|---|---|---|---|---|---|
| Cal. with water MMP (MPa) | 8.5 | 9.85 | 10.7 | 11.6 | 13.1 |
| Exp. with waterMMP (MPa) |
7.8 | 8.8 | 10.2 | 12.2 | 13.2 |
| AD-(Cal vs. Exp) | 9.0% | 11.9% | 4.9% | 4.9% | 0.8% |
| AAD-(Cal vs. Exp) | 6.3% | ||||
As revealed by the thermodynamic calculations, the lower CO2 mole fraction in the water presence system could be one of the main mechanisms behind the MMP reduction behavior of the CO2/oil system. Jessen and Orr (2008) has reported the unanimously decreasing saturation pressure, which equals to the slim tube MMP at certain CO2/oil mixture composition, with the decreasing CO2 fraction in the system. As displayed in Fig. 8, it is deduced the system containing water component would pull down both the molar fraction of CO2 and oil phase as compared to the system without water. The lower molar fraction of CO2 could be more easily accommodated in the intermolecular alkane spaces, thus to form the stable single phase system at lower pressure levels (Han et al., 2015; Liu et al., 2017).
3.4 Discussions
In this chapter, further discussions are carried out to highlight the significances of this research on guiding the CO2 EOR and CCUS applications.
As the common case in CO2 EOR practices, the miscibility characteristics of CO2/oil/water systems have been encountered frequently and therefore got extensive research attentions. Although it is well recognized the water presence may decrease the diffusion rate between CO2 and oil due to the bridging and blockage effect affect (Askari et al., 2022; Wylie and Mohanty, 1997), lot of researchers have reported the same or even better recovery results in water presence environments at near miscible conditions, that is, at pressure slightly lower than the MMP of the system. It is noted the dynamic diffusion characteristics of the CO2/oil/water system, although being important for the dynamic flooding processes, does not necessarily related to the thermodynamic equilibrium MMP results (Dindoruk et al., 2021).
Shyeh-Yung (1999) conducted comprehensive experiments on CO2 flooding decane in Berea sandstone as well as on CO2 flooding degassed realistic oil in Texas carbonate at near-miscible conditions with 3.5 wt% total dissolved solids (TDS) brine presence. They didn’t observe the abrupt decline on oil recovery efficiency when system switching from the miscible to the near-miscible condition, which substantially contradicts the slim tube results. Sohrabi et al. (2008) investigated in pore-level the near-miscible gas flooding oil (mixture of n-decane and methane) mechanisms with distilled water presence by visualizing the displacement behavior in high-pressure glass micromodels. Their results showed the near miscible gas flooding is a very effective oil recovery technology. Bui et al. (2010) conducted CO2 flooding to displace Arbuckle oil from Berea sandstone at the near miscible condition and they reported over 50% of residual oil after the brine (1 wt% TDS) flooding could be recovered by the CO2 injection. Alhosani et al. (2019) studied near-miscible CO2 injection in the Ketton limestone saturated with oil (80% wt% decane and 20 wt% iododecane) and reservoir brine (70% brine + 30% Sodium Iodide) using X-ray micro-tomography. They reported up to 80% of the residue oil could be recovered with the supercritical CO2 injection. Ajoma et al. (2021) demonstrated through laboratory works the superiority of pure water saturated CO2 (wsCO2) injection over pure CO2 injection under both miscible and near-miscible conditions in Bentheimer cores. They reported wsCO2 injection could provide higher oil (65 mol% hexane and 35 mol% decane) recovery (4–11%) and higher net CO2 storage amount (4–9%) at miscibility and near-miscibility conditions rather than that obtained by CO2 injection.
Although the favorable water presence effects on oil recovery and CO2 storage at near miscible conditions have been widely reported, the reasons provided by the researchers behind their experimental observations are quite different. Some researchers attributed the high oil recovery below MMP to the low gas-oil interfacial tension, which reduces the pore level bypassing flow and therefore enhances the gas sweep efficiency (Alhosani et al., 2019; Shyeh-Yung, 1999; Sohrabi et al., 2008). Some researchers attributed the experimental phenomena at near miscible conditions to the substantial CO2 dissolution in the oil phase, which reduces significantly the oil viscosities to help the oil recovery processes (Bui et al., 2010). Some researchers, on the other hand, attributed the favorable water presence effect at miscible and near miscible conditions to the significantly reduced mobility ratio between CO2 and water (Ajoma et al., 2021). So far, few researchers have addressed specifically the impact of water on miscibility characteristics of the CO2/oil system.
It is expected, therefore, the research work reported in this paper could provide an innovative viewpoint on understanding the mechanisms behind the water presence effect in the miscible and near miscible CO2 flooding processes, thus help substantially the CO2 EOR and CO2 geological storage practices. The further systematic investigations on the salinity and oil compositions effects would be the challenging research topics in the future works.
4 Conclusion
Although extensive works have been carried out, the reasons provided by the researchers for the water present effect on the miscibility characteristics of the CO2/oil system are rather different. To understand the mechanisms behind the impact of water on the miscibility characteristics of the CO2/oil system, the MMPs of the CO2/n-C16H34 system are determined at water absence and water presence situations in the temperature range 40–82 °C. The robust ODVM technique based on the pendant oil droplet shape analysis is employed to determine the system MMPs. Corresponding thermodynamic calculations are performed to analyze the experimental observations. Following conclusions are obtained,
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Measurement results show the water presence could obviously reduce the MMPs of the CO2/n-C16H34 system, specifically, from 8.2 to 7.8 MPa, from 9.6 to 8.8 MPa, from 11.6 to 10.2 MPa, from 13.0 to 12.2 MPa and from 14.6 to 13.2 MPa at different temperature levels of 40, 51, 61, 72 and 82 °C respectively.
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Thermodynamic calculations could not only reproduce the same trend of MMP reduction but also supply the accurate MMP predictions on water presence effect in the CO2/oil systems. Based on the calculation studies, the MMP reduction due to water presence could mainly contribute to the decreased CO2 mole fraction in comparison with the binary CO2/oil system.
It is expected this work could provide an innovative viewpoint to understand the water presence effect in the CO2 flooding processes, thus help substantially the CO2 EOR and CO2 geological storage practices.
CRediT authorship contribution statement
Peixuan Cui: Investigation, Writing – original draft. Zhiwei Liu: Investigation, Formal analysis. Xincheng Cui: Investigation. Yingge Li: Writing – review & editing. Dongxing Du: Conceptualization, Methodology, Formal analysis.
Acknowledgement
The paper is finished under the Graduate tutor foundation of Qingdao University of Science and Technology (120202190414).
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Appendix A
See Tables A1–A5.
.
.
.
.
.
P(MPa)
Tests
0 s
50 s
100 s
150 s
200 s
250 s
300 s
6.4
a
1.766
1.936
1.963
1.997
2.008
2.025
2.046
+15.90%
b
1.853
1.994
2.016
2.066
2.061
2.105
2.124
+14.66%
c
1.752
1.918
1.948
1.978
1.985
2.006
2.026
+15.60%
7.0
a
1.551
1.548
1.576
1.613
1.601
1.634
1.637
+5.54%
b
1.955
1.947
1.982
2.010
1.994
2.018
2.026
+3.64%
c
1.619
1.662
1.668
1.695
1.708
1.753
1.728
+6.73%
7.8
a
1.332
1.360
1.356
1.326
1.297
1.261
1.205
−9.58%
b
1.401
1.425
1.402
1.382
1.367
1.318
1.261
−10.03%
c
1.207
1.184
1.131
1.136
1.121
1.085
1.081
−10.44%
8.4
a
1.548
1.531
1.476
1.448
1.411
1.367
1.317
−14.92%
b
1.137
1.113
1.107
1.076
1.090
1.038
0.974
−14.35%
c
1.220
1.180
1.155
1.130
1.083
1.087
1.044
−14.46%
9.0
a
1.197
1.128
1.088
1.054
0.992
0.939
0.863
−27.85%
b
1.377
1.248
1.260
1.214
1.165
1.112
1.052
−23.55%
c
1.264
1.205
1.093
1.115
1.073
1.038
0.988
−21.80%
P(MPa)
Tests
0 s
50 s
100 s
150 s
200 s
250 s
300 s
8.0
a
2.021
2.262
2.264
2.243
2.294
2.311
2.34
+15.84%
b
1.856
2.014
2.087
2.053
2.095
2.106
2.130
+14.78%
c
1.789
1.901
1.896
1.929
1.974
2.080
2.086
+16.60%
8.4
a
2.064
2.087
2.100
2.095
2.111
2.105
2.104
+1.94%
b
1.708
1.747
1.755
1.715
1.765
1.758
1.761
+3.07%
c
1.680
1.722
1.674
1.800
1.694
1.684
1.743
+3.57%
8.8
a
1.389
1.329
1.322
1.281
1.273
1.255
1.226
−11.74%
b
1.304
1.318
1.284
1.256
1.189
1.153
1.135
−12.99%
c
2.012
1.983
1.944
1.923
1.922
1.864
1.780
−11.44%
9.2
a
1.333
1.336
1.298
1.251
1.204
1.163
1.124
−15.69%
b
1.349
1.335
1.308
1.278
1.233
1.211
1.158
−14.19%
c
1.679
1.610
1.424
1.364
1.366
1.300
1.292
−23.21%
9.6
a
1.247
1.257
1.189
1.104
1.010
0.946
0.852
−31.71%
b
1.299
1.268
1.243
1.163
1.099
1.062
1.054
−18.86%
c
2.189
2.236
2.003
2.050
1.812
1.682
1.564
−28.77%
P(MPa)
Tests
0 s
50 s
100 s
150 s
200 s
250 s
300 s
9.4
a
1.313
1.349
1.431
1.416
1.408
1.448
1.450
+10.48%
b
1.342
1.384
1.408
1.432
1.471
1.487
1.530
+13.95%
c
1.939
2.005
2.075
2.067
2.098
2.121
2.073
+6.91%
9.8
a
0.930
0.916
0.938
0.884
0.949
0.895
0.966
+3.90%
b
1.794
1.847
1.873
1.891
1.931
1.915
1.931
+7.64%
c
1.868
1.963
1.981
1.967
2.003
2.002
2.009
+7.60%
10.2
a
1.491
1.610
1.540
1.520
1.473
1.372
1.317
−11.67%
b
1.507
1.495
1.447
1.384
1.322
1.384
1.337
−11.31%
c
1.631
1.609
1.574
1.550
1.556
1.504
1.466
−10.11%
10.6
a
1.423
1.464
1.432
1.293
1.284
1.223
1.189
−16.20%
b
1.508
1.455
1.413
1.396
1.330
1.283
1.251
−17.04%
c
1.370
1.366
1.322
1.278
1.233
1.179
1.155
−15.69%
11.0
a
1.595
1.523
1.443
1.331
1.226
1.123
1.065
−33.22%
b
1.294
1.273
1.102
0.995
0.926
0.841
0.774
−40.19%
c
1.454
1.371
1.338
1.238
1.200
1.174
1.110
−23.63%
P(MPa)
Tests
0 s
50 s
100 s
150 s
200 s
250 s
300 s
11.4
a
1.816
1.807
1.842
1.826
1.972
2.016
2.003
+10.31%
b
1.982
2.015
2.089
2.197
2.210
2.280
2.189
+10.48%
c
2.108
2.192
2.232
2.234
2.276
2.258
2.362
+12.04%
11.8
a
1.818
1.931
1.950
1.973
1.963
1.940
1.917
+5.42%
b
1.894
1.929
1.938
1.984
1.993
1.942
1.929
+1.83%
c
1.859
1.977
2.029
2.105
2.054
2.071
2.039
+9.66%
12.2
a
2.166
2.094
2.025
1.986
1.968
1.994
1.939
−10.49%
b
2.067
2.011
1.989
1.893
1.876
1.893
1.828
−11.56%
c
1.776
1.785
1.789
1.775
1.768
1.713
1.596
−10.14%
12.6
a
1.409
1.337
1.323
1.287
1.233
1.193
1.139
−19.20%
b
1.507
1.490
1.452
1.405
1.335
1.309
1.269
−15.79%
c
1.524
1.455
1.403
1.368
1.345
1.308
1.290
−15.33%
13.0
a
1.487
1.440
1.343
1.274
1.179
1.098
1.018
−31.54%
b
1.386
1.356
1.303
1.256
1.138
1.068
1.070
−22.85%
c
1.514
1.521
1.506
1.465
1.273
1.013
0.954
−37.09%
P(MPa)
Tests
0 s
50 s
100 s
150 s
200 s
250 s
300 s
12.0
a
1.929
1.981
2.012
2.072
2.100
2.106
2.108
+9.29%
b
1.714
1.838
1.875
1.852
1.897
1.914
1.924
+12.23%
c
1.353
1.342
1.450
1.531
1.514
1.573
1.610
+19.26%
12.6
a
1.750
1.774
1.815
1.837
1.850
1.867
1.860
+6.28%
b
1.727
1.825
1.883
1.863
1.883
1.902
1.874
+8.50%
c
1.083
1.141
1.163
1.171
1.254
1.233
1.188
+10.00%
13.2
a
1.706
1.681
1.659
1.618
1.572
1.526
1.512
−11.37%
b
1.546
1.538
1.563
1.528
1.481
1.347
1.385
−10.40%
c
1.245
1.213
1.187
1.166
1.183
1.149
1.130
−11.29%
13.8
a
1.856
1.847
1.830
1.792
1.715
1.614
1.527
−17.77%
b
1.693
1.641
1.575
1.501
1.396
1.325
1.321
−21.94%
c
1.919
1.912
1.854
1.687
1.583
1.534
1.511
−21.88%
14.4
a
1.686
1.589
1.543
1.455
1.419
1.393
1.290
−23.52%
b
1.822
1.785
1.688
1.593
1.498
1.422
1.313
−27.91%
c
1.768
1.757
1.752
1.634
1.532
1.430
1.301
−26.44%
