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Diffusion Coefficient and Interfacial Tension with Addition of Silica Nanoparticles in CO2-Surfactant-Water-Hexane for Enhanced Oil Recovery (EOR) Using Molecular Dynamic Simulation

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Abstract:

Dynamic simulation for investigating the interactions of molecules that involved carbon dioxide (CO2), sodium dodecyl sulfate (SDS), water (H2O), hexane and silica nanoparticles (SiO2) in terms of diffusion coefficient and interfacial tension (IFT) were conducted at 298 K and 383 K for three different systems which consists of three layers (L1-L2-L3); CO2-water-water/hexane (S1), CO2-water/SDS-water/hexane (S2) and CO2-water/SDS/SiO2-water/hexane (S3). Analyses of the mean square displacement (MSD) showed that higher curve definition was obtained at 383 K than 298 K system, indicates higher mobility of the molecules. The diffusion coefficient of all CO2, SiO2, SDS and hexane molecules in all systems were higher at 383 K than 298 K due to heat supplied that energized the molecules and enhanced their diffusivity at the elevated temperature. The IFT between L1-L2 (I1) and L2-L3 (I2) determined from the pressure tensor data, decreased from 36.3 to 16.13 mN/m and 42.35 to 6.45 mN/m, respectively for S1 with the increment of temperature. Addition of SDS surfactant further decreased the I1 and I2 from 25.67 to 11.83 mN/m and 29.95 to 9.46 mN/m, respectively for S2 when the temperature increased. The IFT reduced significantly from 25.67 to 0.57 mN/m and 29.95 to 1.13 mN/m for I1 and I2, respectively at 298 K with addition of SiO2 into SDS-Water i.e. S3. The addition of SiO2 and SDS further reduced the interfacial tension due to the part taken by SiO2 and SDS in disrupting the closely linked hydrogen bond between water molecules at the interphase.

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375-384

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March 2019

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© 2019 Trans Tech Publications Ltd. All Rights Reserved

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[1] TA Tengku Mohd, J Baco, NF Abu Bakar, MZ Jaafar. Effects of particle shape and size on nanofluid properties for potential Enhanced Oil Recovery (EOR). MATEC Web of Conferences. 69, 03006 (2016).

DOI: 10.1051/matecconf/20166903006

Google Scholar

[2] L Wang, A Asthagiri, Y Zheng, WG Chapman. Simulation Studies on the Role of Lauryl Betaine in Modulating the Stability of AOS Surfactant-Stabilized Foams used in Enhanced Oil Recovery. Energy & Fuels. 31 (2017) 1512 – 1518.

DOI: 10.1021/acs.energyfuels.6b03186

Google Scholar

[3] R Farajzadeh, R Krastev, PLJ Zitha. Foam Films Stabilized with Alpha Olefin Sulfonate (AOS). Colloids and Surface A: Physicochem. Eng. Aspects. 324 (2008) 35 – 40.

DOI: 10.1016/j.colsurfa.2008.03.024

Google Scholar

[4] C Emegwalu. Enhanced Oil Recovery: Surfactant Flooding as a Possibility for the Norne E-Segment. 1st ed. (2009).

Google Scholar

[5] A Khezrnejad, L James, T Johansen. Water Enhancement Using Nanoparticles in Water Alternating Gas (WAG) Micromodel Experiments. SPE Annual Technical Conference and Exhibition, (2014) 1-15.

DOI: 10.2118/173484-stu

Google Scholar

[6] TS Horozov. Foams and foam stabilized by solid particles. Current Opinion in Colloid and Interface Science, 13 (2008) 134-140.

DOI: 10.1016/j.cocis.2007.11.009

Google Scholar

[7] BP Binks. Particles as surfactants--similarities and differences. Current Opinion in Colloid & Interface Science, 7 (2002) 21-41.

DOI: 10.1016/s1359-0294(02)00008-0

Google Scholar

[8] TA Tengku Mohd, AHM Muhayyidin, NA Ghazali, MZ Shahruddin, N Alias, S Arina, SN Ismail and NA Ramlee. Carbon Dioxide (CO2) Foam Stability Dependence on Nanoparticle Concentration for Enhanced Oil Recovery (EOR). Applied Mechanics and Materials, 548-549 (2014) 1876-1880.

DOI: 10.4028/www.scientific.net/amm.548-549.1876

Google Scholar

[9] TA Tengku Mohd, N Alias, NA Ghazali, E Yahya, A Sauki, A Azizi, NM Yusof. Mobility Investigation of Nanoparticle-Stabilized Carbon Dioxide Foam for Enhanced Oil Recovery (EOR). Advanced Materials Research, 1119 (2015) 90–95.

DOI: 10.4028/www.scientific.net/amr.1119.90

Google Scholar

[10] JJ Bikerman. Foams: Theory and Industrial Applications, New Work (1953).

Google Scholar

[11] H Yousefvand, A Jafari. Enhanced Oil Recovery Using Polymer / nanosilica. Procedia Materials Science, 11 (2015) 565–570.

DOI: 10.1016/j.mspro.2015.11.068

Google Scholar

[12] M Zargartalebi, R Kharrat, N Barati. Enhancement of surfactant flooding performance by the use of silica nanoparticles. Fuel, 143 (2015) 21–27.

DOI: 10.1016/j.fuel.2014.11.040

Google Scholar

[13] B Liu, J Shi, B Sun, Y Shen, J Zhang, X Chen, M Wang. Molecular dynamics simulation on volume swelling of CO2-alkane system. Fuel. 143 (2015) 194 – 201.

DOI: 10.1016/j.fuel.2014.11.046

Google Scholar

[14] T., Fang, J., Shi, X., Sun, Y., Shen, Y., Yan, J., Zhang J., Liu B. Supercritical CO2 selective extraction inducing wettability alteration of oil reservoir. The journal of supercritical fluids. 113 (2016) 10-15.

DOI: 10.1016/j.supflu.2015.09.016

Google Scholar

[15] L.S., de Lara, M.F., Michelon, C.R., Miranda. Molecular Dynamics Studies of Fluid/Oil Interfaces for Improved Oil Recovery Processess. The Journal of Physical Chemistry B. 116 (2012) 14667 – 14676.

DOI: 10.1021/jp310172j

Google Scholar

[16] H., Sun, Z., Jin, C., Yang, R.L.C., Akkermans. Robertson, S. H., Spenley, N. A., Miller, S., Todd, S. M. COMPASS II: extended coverage for polymer and drug-like molecule databases. Journal of Molecular Modeling, 22 (2016) 1-10.

DOI: 10.1007/s00894-016-2909-0

Google Scholar

[17] S., Yuan, S., Wang, X., Wang, M., Guo, Y., Wang, D., Wang D. Molecular dynamics simulation of oil detachment from calcite surface in aqueous surfactant solution. Computational and Theoretical Chemistry. 1092 (2016) 82 – 89.

DOI: 10.1016/j.comptc.2016.08.003

Google Scholar

[18] B., Liu, J., Shi, M., Wang J., Zhang, B., Sun, Y., Shen, X., Sun. Reduction on Interfacial tension of water oil interface by supercritical CO2 in enhanced oil recovery process studied with molecular dynamics simulation. The Journal of Supercritical Fluid. 111 (2016) 171 – 178.

DOI: 10.1016/j.supflu.2015.11.001

Google Scholar

[19] D., Makimura, M., Kunieda, Y., Liang, T., Matsuoka, S., Takahashi, H., Okabe. Application of Molecular Simulations to CO2-Enhanced Oil Recovery: Phase Equilibria and Interfacial Phenomena. SPE Journal. (2013) 319-330.

DOI: 10.2118/163099-pa

Google Scholar

[20] J.P., Zeng, Y.S., Bai, S., Chen, C.A., Ma. Molecular dynamics simulation of diffusion of nitrobenzene in 3-methylimidazolium hexa fluoro phosphate ionic liquids. Journal of Molecular Liquids. 183 (2013) 1-7.

DOI: 10.1016/j.molliq.2013.03.021

Google Scholar

[21] R., Gholizadeh, Y., Wang, Y.X. Yu. Molecular dynamics simulations of stability at the early stages of silica materials preparation. Journal of Molecular Structure. 1138 (2017) 198-207.

DOI: 10.1016/j.molstruc.2017.03.021

Google Scholar

[22] J.P., Zeng, A., Wang, X., Gong, J., Chen, S., Chen, F., Xue. Molecular Dynamics Simulation of Diffusion of Vitamin C in Water Solution. Chinese Journal of Chemistry. 30 (2012) 115-120.

DOI: 10.1002/cjoc.201180459

Google Scholar

[23] Y. Zhang, EJ. Maginn. A comparison of methods for melting point calculation using molecular dynamic simulation. The Journal of Chemical Physics. 136 (2012) 144166-1 – 1444166-12.

Google Scholar

[24] P., Posocco, A., Perazzo, V., Preziosi, E., Laurini, S., Pricl, S., Guido. Interfacial tension of oil/water emulsions with mixed non-ionic surfactants: comparison between experiments and molecular simulations. RSC Advances. 6 (2016) 4723-4729.

DOI: 10.1039/c5ra24262b

Google Scholar

[25] E., Mayoral, A.G., Goicochea. Modeling the temperature dependent interfacial tension between organic solvents and water using dissipative particle dynamics. The Journal of Chemical Physics, 138 (2013) 094703.

DOI: 10.1063/1.4793742

Google Scholar

[26] W., Xing Y., Song, Y., Zhang, M., Nishio, Y., Zhan, W., Jian, Y., Shen. Research Progress of the Interfacial tension in supercritical CO2-water/oil system. Energy Procedia. 37 (2013) 6928 – 6935.

DOI: 10.1016/j.egypro.2013.06.625

Google Scholar