Open Access Article
4} surface†
Huifang
Li
ab,
Hakkim
Vovusha
b,
Sitansh
Sharma
b,
Nirpendra
Singh
b and
Udo
Schwingenschlögl
*b
aCollege of Electromechanical Engineering, Shandong Engineering Laboratory for Preparation and Application of High-performance Carbon Materials, Qingdao University of Science and Technology, Qingdao 266061, China
bPhysical Sciences and Engineering Division (PSE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia. E-mail: udo.schwingenschlogl@kaust.edu.sa
First published on 29th June 2020
To understand the mechanism of wettability alteration of calcite, a typical mineral in oil reservoirs, the interactions of deionized water and brine (with different compositions) with the calcite {10
4} surface are investigated using a combination of molecular dynamics and first-principles simulations. We show that two distinct water adsorption layers are formed through hydrogen bonding and electrostatic interactions with the calcite {10
4} surface as well as hydrogen bonding between the water molecules. These highly ordered water layers resist penetration of large stable Mg2+ and Ca2+ hydrates. As Na+ and Cl− hydrates are less stable, Na+ and Cl− ions may penetrate the ordered water layers to interact with the calcite {10
4} surface. In contact with this surface, Na+ interacts significantly with water molecules, which increases the water–calcite interaction (wettability of calcite), in contrast to Cl−. We propose that formation of Na+ hydrates plays an important role in the wettability alteration of the calcite {10
4} surface.
Injection of low salinity water in oil reservoirs (water/brine flooding process) can enhance the oil recovery by ∼10%.12,13 It is known that interaction of salt ions with calcite is responsible for wettability alteration from a strongly oil-wet toward a water-wet state.14–17 In particular, low-salinity brines containing monovalent ions result in more water-wet characteristics. It has been concluded from experimental results that the mechanism of wettability modification is related to the affinity of the salt ions to calcite,18 and theoretical studies have been performed to deepen the understanding.19–21 In particular, a considerable density of monovalent ions (Na+ and Cl−) has been observed close to calcite in a simulation of the calcite–hydrocarbon interaction in concentrated brine, and decreasing interaction between the organic molecules and calcite for increasing salinity of the brine has been attributed to the formation of these salt layers.19 Indeed, an electric double layer is formed with Na+ ions in the Stern layer and Cl− ions in the diffuse layer.20
However, in spite of these works, it is still an open question how exactly, at the atomic level, the water wettability is enhanced by the salt ions in brine. Such knowledge would be valuable not only for oil recovery but also for other important fields such as contaminant migration and bio-mineralization. In the present work, we therefore aim to establish insights into the mechanism of wettability alteration of the calcite {10
4} surface, the most stable surface of calcite,22,23 in the presence of brine. To this aim, we will investigate the interaction between this surface and the monovalent and divalent ions in saline water by molecular dynamics (MD) simulations, a powerful method for studying adsorption at the atomic level. Moreover, by means of quantum-chemical simulations, we will analyze how the calcite–water interaction energy changes in the presence of salt ions. These data will provide fundamental insights into the alteration of the water wettability and allow us to shed new light on the role of brine in enhanced oil recovery.
4} surface only at defects.24 The length of the simulation cell in the z-direction is set to 129.0 Å to add brine (with different compositions). The Lennard-Jones potentials of ref. 25 are used to describe the non-bonding van der Waals interactions (intra-calcite and calcite–brine interface). The optimized potential for liquid simulations all-atom (OPLS-AA) force-field parameters are adopted for the water molecules and salt ions.26 The TIP3P water model is adopted.27 Electrostatic interactions are calculated using particle-mesh Ewald summation with a real-space cutoff of 12 Å. The van der Waals cutoffs are also set to 12 Å. The water molecules and CO32− groups are treated as rigid bodies with all bonds constrained, using SETTLE (water)28 and LINCS.29 For executing the MD simulations, the GROMACS simulation package (version 5.1.5) is employed.30–32 A time step of 2 fs is found to provide stable results.
We first execute a steepest-descent energy minimization to remove atomic overlaps. Then the systems are equilibrated in 1 ns NVT runs at a temperature of 363 K, controlled by a Nosé–Hoover thermostat.33 Afterwards 100 ns NPT runs, which ensure statistical convergence, are executed at a temperature of 363 K and semi-isotropic pressure of 206 bar (typical conditions of oil reservoir), controlled by a velocity rescaling thermostat34 and Berendsen barostat35 with a coupling constant of 1 ps and a compressibility of 4.5 × 10−5 bar. The last 10 ns of the NPT runs are used to examine the molecular ordering in terms of the orientation order parameter36
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For water molecules and salt ions on the calcite {10
4} surface the adsorption energy (Ea) is determined by first-principles simulations using the Vienna ab initio simulation package.37 A periodic slab approach is adopted with a 15 Å vacuum region in the z-direction and at least 10 Å distance between images of the adsorbate in the xy-plane. The projector-augmented wave method38 and Perdew–Burke–Ernzerhof functional are used. Dispersion interactions are taken into account by the Grimme method (DFT-D3)39 to obtain accurate absorption heights and energies. For the Brillouin zone integrations, a 2 × 2 × 1 Γ-centered Monkhorst-Pack mesh is used in the structure optimizations and a 6 × 6 × 1 Γ-centered Monkhorst-Pack mesh in the self-consistency calculations. A Gaussian smearing of 0.05 eV is adopted. The kinetic energy cutoff is set to 400 eV. During the structure optimizations the atoms in the two bottom layers of the calcite slab are fixed. For the other atoms the positions are relaxed until the Hellmann–Feynman forces have converged to 0.01 eV Å−1. An energy convergence criterion of 10−6 eV is adopted. We calculate
| Ea = Etotal − (Ewater/ion + Ecalcite), | (2) |
4} surface
4} surface. In our NPT run the temperature and pressure are controlled well, the total energy fluctuations are equilibrated to <0.1%, and the root mean square deviation reaches a plateau (Fig. S1, ESI†). The mass density of the water molecules is shown in Fig. 1a as function of the (perpendicular) distance to the calcite {10
4} surface. Oscillations represent several adsorption layers of water molecules. The first two layers appear at about 2.3 Å and 3.4 Å, which agrees well with experimental results (2.3 ± 0.1 Å and 3.45 ± 0.2 Å).4 Similar to previous MD simulations,9,19 we observe that the ordering decreases when the distance to the calcite {10
4} surface increases. The highly ordered hydration layers are also reflected in the charge density and order parameter profiles given in Fig. 1b. Two peaks of negative charge are due to the Owater atoms and are located at about 2.3 Å and 3.4 Å. Between them we observe a peak of positive charge due to the Hwater atoms. Moreover, deviations of the order parameter from a value of 0 show that the orientations of the water molecules are not random. Those located in the first hydration layer favor orientation parallel to the calcite {10
4} surface, while those in the second hydration layer tend to be oriented perpendicular.
The calcite–brine interface after the MD simulation is shown in Fig. 2. In agreement with previous studies,7,8,20 hydrogen bonding (OHwater⋯Ocalcite, OHwater⋯Owater) and electrostatic interactions (Owater⋯Cacalcite) result in highly ordered hydration layers. We observe that the orientation of the water molecules follows the structural periodicity of calcite. The Ca2+ ions at the interface attract the oxygen atoms of the nearby water molecules such that their OH bonds are oriented almost parallel to the interface, giving rise to the first hydration layer. The water molecules close to CO32− groups point with their hydrogen atoms toward the interface, giving rise to the second hydration layer. This pattern is similar to results from force-field41 and quantum-chemical42 simulations.
A series of first-principles simulations is used to obtain accurate adsorption energies of water molecules on the calcite {10
4} surface. According to the average structure obtained from the MD simulations (Fig. S2, ESI†), hydrogen bonds are formed between the water molecules at the interface. For this reason, we consider clusters of one to three water molecules on the calcite {10
4} surface using simulation cells of size 14.9 Å × 16.1 Å × 25.7 Å (Fig. S3, ESI†). The obtained adsorption energies are collected in Table 1 and the corresponding energetically favorable binding geometries are shown in Fig. 3. For a single water molecule we find an adsorption energy of −20.8 kcal mol−1, reasonably close to a previously reported result (−17.1 kcal mol−1).8 The adsorption energy is enhanced when a second and a third water molecule are added because of the formation of inter-molecular hydrogen bonds (Table 1).
4} surface as obtained from first-principles simulations. The labels refer to Fig. 3, 5, 6, and Fig. S4 (ESI). The energies required for deformation of the calcite {10
4} surface during adsorption are given in brackets
| 1W molecule 1 | 2W molecule 1 | 2W molecule 2 | 3W molecule 1 | 3W molecule 2 | 3W molecule 3 |
| −20.8 (1.8) | −29.5 (2.7) | −18.0 (2.7) | −31.4 (3.5) | −24.2 (3.5) | −17.8 (3.5) |
| Na | Mg | Ca | Cl | ||
| −12.9 (1.3) | −8.8 (1.7) | −17.8 (2.6) | −25.1 (3.7) | ||
| Na/1W molecule 1 | Na/2W molecule 1 | Na/2W molecule 2 | Na/3W molecule 1 | Na/3W molecule 2 | Na/3W molecule 3 |
| −31.1 (1.4) | −31.4 (2.4) | −25.6 (2.4) | −30.9 (3.2) | −26.8 (3.2) | −26.5 (3.2) |
| Cl/1W molecule 1 | Cl/2W molecule 1 | Cl/2W molecule 2 | |||
| −27.1 (4.6) | −28.7 (5.7) | −26.7 (5.7) | |||
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Fig. 3 Top and side views of the energetically favorable binding geometries of one (1W), two (2W), or three (3W) water molecules (numbered) on the calcite {10 4} surface, see Fig. S5 (ESI†) for the less favorable binding geometries. Dashed lines mark hydrogen bonds. H is represented in white, C in gray, O in red, and Ca in green. | ||
4} surface
4} surface is investigated by MD simulations for the compositions of Table 2. The convergence behavior is shown in Fig. S6–S11 (ESI†). Fig. 4 gives mass density profiles of the water molecules and salt ions as function of the (perpendicular) distance from the calcite {10
4} surface. We find that the divalent Ca2+ and Mg2+ ions cannot penetrate the hydration layers (in agreement with previous MD simulations19,20), whereas the Na+ and Cl− ions can penetrate them to interact with the calcite. This interaction is stronger for the Na+ than the Cl− ions, since the mass density peak closest to the calcite {10
4} surface (at about 2.6 Å) can be assigned to Na+, which leads to formation of an electric double layer with Na+ ions in the Stern layer and Cl− ions in the diffuse layer.20 The mass density profiles of the other salt ions in Fig. 4 do not exhibit special features. The different ability of the divalent and monovalent ions to penetrate the hydration layers is explained by the fact that the Mg2+ and Ca2+ ions form stable hydrates (Mg2+·6H2O, Ca2+·7H2O; Fig. S12, ESI†), while the Na+ and Cl− ions show fluctuating hydration numbers.
| NaCl/water | MgCl2/water | CaCl2/water | Na2SO4/water | Diluted sea water | Sea water | |
|---|---|---|---|---|---|---|
| Na+ | 58 | 38 | 40 | 405 | ||
| Mg2+ | 19 | 4 | 44 | |||
| Ca2+ | 19 | 1 | 8 | |||
| Cl− | 58 | 38 | 38 | 46 | 462 | |
| SO42− | 19 | 2 | 23 | |||
| HCO3− | 1 | |||||
| Water | 27 695 |
27 754 |
27 754 |
27 716 |
27 717 |
26 799 |
First-principles simulations of isolated salt ions on the calcite {10
4} surface are performed for the initial sites indicated in Fig. 5a. All initial sites result in the same binding geometry, which is shown in Fig. 5b for each case. Na+, Mg2+, and Ca2+ favor location on top of the CO32− group, while Cl− favors location on top of the Ca2+ ion. The corresponding adsorption energies are given in Table 1. We find weak binding for all the considered salt ions with the adsorption energy at most comparable to that of the water molecules. This fact only appears to imply that the hydration layers are stable and can hardly be perturbed by salt ions (which would contradict our MD result that Na+ and Cl− ions enter the first hydration layer).
4} surface
4} surface when brine is injected into a reservoir for oil recovery, and whether it affects the wettability. To answer this question, we next study the interaction between Na+ hydrates and the calcite {10
4} surface by means of first-principles simulations. To this aim, we place a Na+ ion on our calcite slab and progressively add up to three water molecules. Fig. 6 shows the obtained energetically favorable binding geometries. It turns out that the Na+ ion favors location on top of a CO32− group. The oxygen atoms of the surrounding water molecules are oriented toward the Na+ ion as well as the nearest Ca2+ ion. The Na⋯Owater distance is about 2.6 Å and OHwater⋯Ocalcite hydrogen bonds are formed. The obtained adsorption energies of the water molecules (Table 1) are significantly enhanced by the presence of the Na+ ion and Bader charge analysis (Table 3) shows that the charge transfers from the Na/2W and Na/3W clusters to the calcite slab are much larger than the corresponding values of their fragments.
| 1W | 2W | 3W | |
| −0.06 | −0.07 | −0.10 | |
| Na | Mg | Ca | Cl |
| 0.31 | 0.24 | 0.26 | −0.65 |
| Na/1W | Na/2W | Na/3W | |
| 0.18 | 0.77 | 1.00 | |
First-principles simulations (favorable binding geometries shown in Fig. S4, ESI†) demonstrate that only mono-hydrated and bi-hydrated Cl− is stable on the calcite {10
4} surface but not tri-hydrated Cl−. Table 1 shows that in the case of Cl− the adsorption energies of the water molecules are less enhanced than in the case of Na+. This can explain why Cl− ions interact less with the calcite {10
4} surface than Na+ ions. Moreover, MD simulations of Na+ ions and water molecules on the calcite {10
4} surface, see the results in Fig. 7, demonstrate formation of Na+ hydrate (Na+·2H2O, Na+·3H2O), which enhances the wettability.
4} surface with water molecules and both monovalent and divalent ions (brine) at the atomic level, using MD and first-principles simulations. At the water–calcite interface strong hydrogen bonding (OHwater⋯Ocalcite) and electrostatic interactions (Owater⋯Cacalcite) result in formation of highly ordered water layers. Both monovalent and divalent ions are found to bind less to the calcite surface than to these water molecules. Divalent Mg2+ and Ca2+ hydrates are more stable than monovalent Na+ and Cl− hydrates. As a result, only the monovalent ions may penetrate through the ordered water layers and interact with the calcite {10
4} surface. In contact with the calcite {10
4} surface the Na+ ions interact more with the water molecules than the Cl− ions, giving rise to a distinct Na+ density peak in the first ordered water layer. The fact that the water–calcite interaction is increased by the presence of Na+ explains why the wettability of the calcite {10
4} surface is enhanced by brine. We find that charge transfer effects are always limited to the first calcite layer at the interface, while the electronic structure in deeper calcite layers is not affected by the interaction with water molecules and salt ions. Our results provide a better understanding of the role of brine in enhanced oil recovery.
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† Electronic supplementary information (ESI) available: The convergence behavior of the MD simulation of deionized water on the calcite {10 4} surface is shown in Fig. S1. The arrangement of water molecules on the calcite {10 4} surface is shown in Fig. S2. A side view of the calcite slab used in the first-principles simulations is shown in Fig. S3. First-principles optimized structures of hydrated Cl− on the calcite {10 4} surface are shown in Fig. S4. Top views of the less favorable binding geometries for one, two, and three water molecules on the calcite {10 4} surface are shown in Fig. S5. The convergence behavior of the MD simulations of NaCl/water, MgCl2/water, CaCl2/water, Na2SO4/water, smart water, and sea water on the calcite {10 4} surface is shown in Fig. S6–S11. Representative structures of hydrated divalent salt ions are shown in Fig. S12. The effect of the charge transfer reported in Table 3 on the density of states is shown in Fig. S13. See DOI: 10.1039/d0cp01715a |
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