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Modeling an Ascending Nitrogen Gas Bubble in a Medium Crude Oil by Lattice Boltzmann Method

Received: 20 October 2017     Accepted: 19 December 2017     Published: 19 January 2018
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Abstract

The study and modeling of oil biphasic systems, liquid-liquid and liquid-gas, focus mainly on the details of the modifications and application of the numerical methods itself. The correspondence between theoretical and experimental results and the information needed to apply a certain numerical method, usually remain in the background. On the other hand, in the particular case of the prediction of minimum miscibility pressure, extremely important parameter in oil exploration, references that show qualitative and numerical data associated with the characterization of the systems are scarce. The above reasons motivated the realization of this work. We used the Lattice Boltzmann Equation method to model a two-dimensional system of the displacement of a nitrogen gas bubble through a medium crude oil, under different pressure conditions keeping the temperature constant. According to experimental data, the bubble is not miscible by the crude, under a pressure range of 5000 psi to 6500 psi; nevertheless, the bubble is miscible in the range of 7000 psi to 7500 psi. Throughout simulations performed under similar conditions, we showed that it can be inferred the critical pressure range of miscibility of a medium crude oil.

Published in Fluid Mechanics (Volume 4, Issue 1)
DOI 10.11648/j.fm.20180401.12
Page(s) 14-19
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

LBE Method, Minimum Miscibility, Pressure, Gas Bubble

References
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[2] Mele. I. (2013). Lattice Boltzmann method. Ljubljana University.
[3] igor, v. M., & Oleg, V. M. (2011). Chapter 2. Application of Lattice Boltzmann Method in Fluid Flow and Heat Transfer. InTechOpen, Janeza Trdine 9, 51000 Rijeka, Croatia. Computational Fluid Dynamics Technologies and Applications (pp. 29-68).
[4] Bill Bao, Y., & Meskas, J. (2011). Lattice Boltmann Method for Fluid Simulations. Retrieved from http://www.cims.nyu.edu/~billbao/presentation930.pdf.
[5] Agarwala, A., Ravindraa, B., Prakashb, A. (2017). Development of algorithm to model dispersed gas-liquid flow using lattice Boltzmann method. Retrieved from http://arxiv.org:443/find/all/1/all:+AND+EXACT+gas_liquid+AND+dispersed+AND+model+AND+to+AND+algorithm+AND+Development+of/0/1/0/all/0/1
[6] Anderl, D., Bognerb, S., Rauha, C., Rüde, U., Delgado, A. (2016). Free Surface Lattice Boltzmann with Enhanced Bubble Model. Retrieved from http://arxiv.org:443/find/all/1/all:+AND+Model+AND+Bubble+AND+Enhanced+AND+with+AND+Boltzmann+AND+Lattice+AND+Free+Surface/0/1/0/all/0/1
[7] Yang, N., Shu, S. (2013). Direct Numerical Simulation of Bubble Dynamics Using Phase-Field Model and Lattice Boltzmann Method. Ind. Eng. Chem. Res, 52, 11391−11403. http://dx.doi.org/10.1021/ie303486y
[8] Huber, C., Su, Y., Nguyen, C. T., Parmigiani, A., Gonnermann, H. M., Dufek, J. (2013). A new bubble dynamics model to study bubble growth, deformation, and coalescence. AGU. Publications, ‎J. Geophys. Res. Solid Earth, 119, 216−239. http://dx.doi.org/10.1002/2013JB010419
[9] Sun, T., Li, W. (2013). Three-dimensional numerical simulation of nucleate boiling bubble by lattice Boltzmann method. Computers and Fluids, 88, 400−409. http://dx.doi.org/10.1016/j.compfluid.2013.10.009
[10] Abooali, D., Khamehchi, E. (2016). Toward predictive models for estimation of bubble-point pressure and formation volume factor of crude oil using an intelligent approach. Braz. J. Chem. Eng, 33, 1083−1090. http://dx.doi.org/10.1590/0104-6632.20160334s20150374
[11] Vinci Technologies. (2012). Rising Bubble Apparatus, Minimum Miscibility Pressure Measurement, Operating Manual. Rev 2.0, 7-23.
[12] Vakili-Nezhaad, G., Ahmada, W., Al-Bemani, A. S., & Al-Wahaibi, Y. (2016). Experimental Determination of Minimum Miscibility Pressure. 4th International Conference on Process Engineering and Advanced Materials. Procedia Engineering, 148, 1191-1198. https://doi.org/10.1016/j.proeng.2016.06.629
[13] Hemmati-Sarapardeh, A., Mohagheghian, E., Fathinasab, M., Mohammadi, A. H. (2016). Determination of minimum miscibility pressure in N2-crude oil. Fuel, 182, 402-410. http://dx.doi.org/10.1016/j.fuel.2016.05.079
[14] Elsharkawy, A. M., Suez Canal. U., Poettmann, F. H., & Christiansen, R. L. (1992). Measuring Minimum Miscibility Pressure: Slim-Tube or Rising-Bubble Method?. SPE/DOE Enhanced Oil Recovery Symposium, 22-24 April, Tulsa, Oklahoma. SPE-DOE 24114, 107-116. https://doi.org/10.2118/24114-MS
[15] Reservoir Studies Management Laboratory Gas Injection IOR, PDVSA Intevep, Miranda, Venezuela. (2016)
[16] Adekunle, O., & Hoffman, B. T. (2016). Experimental and analytical methods to determine minimum miscibility pressure (MMP) for Bakken formation crude oil. Journal of Petroleum Science and Engineering, 146: 170-182. http://dx.doi.org/10.1016/j.petrol.2016.04.013
[17] Lishchuk S. v., Care, C. M., & Halliday, I. (2003). Lattice Boltzmann algorithm for surface tension with greatly reduced microcurrents. Physical Review E, 67, 036701. https://doi.org/10.1103/PhysRevE.67.036701
[18] Lallemand P., & Li-Shi. L. (2000). Theory of the lattice Boltzmann method: Dispersion, dissipation, isotropy, Galilean invariance, and stability. Physical Review E, 61, 6546-6562. Retrieved from: https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20000046606.pdf
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    Carolina del Valle Silva, Luque Montilla Jesús Miguel. (2018). Modeling an Ascending Nitrogen Gas Bubble in a Medium Crude Oil by Lattice Boltzmann Method. Fluid Mechanics, 4(1), 14-19. https://doi.org/10.11648/j.fm.20180401.12

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    ACS Style

    Carolina del Valle Silva; Luque Montilla Jesús Miguel. Modeling an Ascending Nitrogen Gas Bubble in a Medium Crude Oil by Lattice Boltzmann Method. Fluid Mech. 2018, 4(1), 14-19. doi: 10.11648/j.fm.20180401.12

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    AMA Style

    Carolina del Valle Silva, Luque Montilla Jesús Miguel. Modeling an Ascending Nitrogen Gas Bubble in a Medium Crude Oil by Lattice Boltzmann Method. Fluid Mech. 2018;4(1):14-19. doi: 10.11648/j.fm.20180401.12

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  • @article{10.11648/j.fm.20180401.12,
      author = {Carolina del Valle Silva and Luque Montilla Jesús Miguel},
      title = {Modeling an Ascending Nitrogen Gas Bubble in a Medium Crude Oil by Lattice Boltzmann Method},
      journal = {Fluid Mechanics},
      volume = {4},
      number = {1},
      pages = {14-19},
      doi = {10.11648/j.fm.20180401.12},
      url = {https://doi.org/10.11648/j.fm.20180401.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.fm.20180401.12},
      abstract = {The study and modeling of oil biphasic systems, liquid-liquid and liquid-gas, focus mainly on the details of the modifications and application of the numerical methods itself. The correspondence between theoretical and experimental results and the information needed to apply a certain numerical method, usually remain in the background. On the other hand, in the particular case of the prediction of minimum miscibility pressure, extremely important parameter in oil exploration, references that show qualitative and numerical data associated with the characterization of the systems are scarce. The above reasons motivated the realization of this work. We used the Lattice Boltzmann Equation method to model a two-dimensional system of the displacement of a nitrogen gas bubble through a medium crude oil, under different pressure conditions keeping the temperature constant. According to experimental data, the bubble is not miscible by the crude, under a pressure range of 5000 psi to 6500 psi; nevertheless, the bubble is miscible in the range of 7000 psi to 7500 psi. Throughout simulations performed under similar conditions, we showed that it can be inferred the critical pressure range of miscibility of a medium crude oil.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Modeling an Ascending Nitrogen Gas Bubble in a Medium Crude Oil by Lattice Boltzmann Method
    AU  - Carolina del Valle Silva
    AU  - Luque Montilla Jesús Miguel
    Y1  - 2018/01/19
    PY  - 2018
    N1  - https://doi.org/10.11648/j.fm.20180401.12
    DO  - 10.11648/j.fm.20180401.12
    T2  - Fluid Mechanics
    JF  - Fluid Mechanics
    JO  - Fluid Mechanics
    SP  - 14
    EP  - 19
    PB  - Science Publishing Group
    SN  - 2575-1816
    UR  - https://doi.org/10.11648/j.fm.20180401.12
    AB  - The study and modeling of oil biphasic systems, liquid-liquid and liquid-gas, focus mainly on the details of the modifications and application of the numerical methods itself. The correspondence between theoretical and experimental results and the information needed to apply a certain numerical method, usually remain in the background. On the other hand, in the particular case of the prediction of minimum miscibility pressure, extremely important parameter in oil exploration, references that show qualitative and numerical data associated with the characterization of the systems are scarce. The above reasons motivated the realization of this work. We used the Lattice Boltzmann Equation method to model a two-dimensional system of the displacement of a nitrogen gas bubble through a medium crude oil, under different pressure conditions keeping the temperature constant. According to experimental data, the bubble is not miscible by the crude, under a pressure range of 5000 psi to 6500 psi; nevertheless, the bubble is miscible in the range of 7000 psi to 7500 psi. Throughout simulations performed under similar conditions, we showed that it can be inferred the critical pressure range of miscibility of a medium crude oil.
    VL  - 4
    IS  - 1
    ER  - 

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Author Information
  • Department of Strategic Research Production, Intevep, Los Teques, Venezuela

  • Department of Reservoir Studies, IOR Gas Injection Laboratory, Los Teques, Venezuela

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