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Simulation of Acid–rock Heterogeneous Flow Reaction Based on the Lattice Boltzmann Method

Received: 3 November 2019    Accepted: 29 November 2019    Published: 13 December 2019
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Abstract

Matrix acidizing is an essential strategy to maintain or increase the productivity or injectivity of hydrocarbon wells. However, for sandstone reservoirs, the heterogeneous flow reaction mechanism of acid–rock in porous media is very complex because of their complex mineral and chemical compositions. It is often difficult to match real formation conditions by experimental simulation. Also, traditional numerical simulation methods have the disadvantages of complex boundary processing and low computational efficiency. In this study, the lattice Boltzmann method (LBM) was used to establish the heterogeneous flow reaction model of acid–rock from a new perspective, which was solved by MATLAB to obtain the distribution of temperature, concentration of various substances, porosity, and permeability. The simulation results indicate that with increases in injection time and injection speed, the temperature and mass transfer distance of the acid will also increase. Changing the injection time had a more obvious influence on the transfer of temperature and mass than did changing the injection speed. The increasing rates of porosity and permeability in the middle of the flow channel were the highest. The fast-reaction mineral content, hydrofluoric acid injection concentration, and acid injection time had a great influence on the acidizing effect, whereas the slow-reaction mineral content, acid injection temperature, and injection speed had little influence on the acidizing effect. The results suggest that to improve the acidizing effect, priority should be given to improve the HF concentration and acid dose. It will be important for further guiding the optimization of acidizing process design parameters.

Published in International Journal of Oil, Gas and Coal Engineering (Volume 7, Issue 6)
DOI 10.11648/j.ogce.20190706.14
Page(s) 130-143
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), 2024. Published by Science Publishing Group

Keywords

Heterogeneous Reaction, Lattice Boltzmann Method, Matrix Acidizing, Porous Media, Sandstone Reservoirs

References
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[2] Guo, J. C., Tang, H., Li, H. T., 2013. Reservoir Development and Exploitation Technology. Petroleum Industry Press, Beijing.
[3] Economides, M. J., Nolte, K. G., 1989. Reservoir Stimulation. Schlumberger Educational Services, Houston.
[4] Labrid, J. C., 1975. Thermodynamic and Kinetic Aspects of Argillaceous Sandstone Acidizing. SPE Journal. 15 (02), 117-128.
[5] Gdanski, R. D., 2000. Kinetics of the Primary Reaction of HF on Alumino-silicates. SPE Production & Facilities. 15 (04), 279-287.
[6] Rodoplu, S., Hill, A. D., 2003. Development and Validation of a Sandstone Acidizing Model with a New Permeability Response Model. SPE84132.
[7] Li, S. Y., Li, Z. M., Li, B. F., 2012. Acid/sandstone Reaction Modeling for Sandstone-matrix Acidizing. Journal of China University of Mining & Technology. 41 (2), 236-241.
[8] Kang, Q., Lichtner, P. C., Zhang, D., 2006. Lattice Boltzmann Pore Scale Model for Multicomponent Reactive Transport in Porous Media. Journal of Geophysical Research Atmospheres. 111, B05203.
[9] Boek, E. S., Zacharoudiou, L., Gray, F., Shah, S. M., Crawshaw, J. P., Yang, J., 2014. Multiphase Flow and Reactive Transport at the Pore Scale Using Lattice-Boltzmann Computer Simulations. SPE170941.
[10] Lyons, J., Nasrabadi, H., Nasr-El-Din, H. A., 2016. A Novel Pore-Scale Thermal-Fracture-Acidizing Model with Heterogeneous Rock Properties. SPE167158.
[11] Tian, Z. W., Tan, Y L., 2017. Lattice Boltzmann Simulation of CO2 Reactive Transport in Throat Fractured Media. Rock and Soil Mechanics. 38 (3), 663-671.
[12] Arkeryd, L., 1972. On the Boltzmann Equation. Archive for Rational Mechanics & Analysis. 45 (1), 1-16.
[13] Chai, Z. H., Shi, B. C., Lu, J. H., Guo, Z. L., 2010. Non-Darcy Flow in Disordered Porous Media: A Lattice Boltzmann Study. Computers & Fluids, 39 (10), 2069-2077.
[14] Chen, H., Chen, S., Matthaeus, W. H., 1992. Recovery of the Navier-Stokes Equations Using a Lattice-gas Boltzmann Method. Physical Review A. 45 (8), 5339.
[15] Chen, Y., Ohashi, H., Akiyama, M., 1994. Thermal Lattice Bhatnagar-Gross-Kook Model without Nonlinear Deviations in Macrodynamic Equations. Physical Review E. 50, 2776-2783.
[16] Shan, X., 1997. Simulation of Rayleigh-Benard Convection Using a Lattice Boltzmann Method. Physical Review E. 55, 2780-2788.
[17] Ginzburg, I., 2005. Equilibrium-type and Link-type Lattice Boltzmann Models for Generic Advection and Anisotropic-dispersion Equation. Advances in Water Resources. 28 (11), 1171-1195.
[18] Zeng, J. B., 2007. The Application of Lattice Boltzmann Method in Convective Heat Transfer and Chemical Reaction. [M. thesis], Chongqing University, Chongqing.
[19] Shi, B. C., Guo, Z. L., 2009. Lattice Boltzmann model for Nonlinear Convection-diffusion Equations. Physical Review E Statistical Nonlinear & Soft Matter Physics. 79, 016701.
[20] Yoshida, H., Nagaoka, M., 2010. Multiple-relaxation-time Lattice Boltzmann Model for the Convection and Anisotropic Diffusion Equation. Journal of Computational Physics, 229 (20), 7774-7795.
[21] Da-Motta, E. P., Plavnlk, B., Hill, A. D., 1993. Accounting for Silica Precipitation in the Design of Sandstone Acidizing. SPE Production & Facilities. 8 (2), 138-144.
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Cite This Article
  • APA Style

    Bo Ning, Zhonghua Chen, Ninghai Fu, Xin Zhao. (2019). Simulation of Acid–rock Heterogeneous Flow Reaction Based on the Lattice Boltzmann Method. International Journal of Oil, Gas and Coal Engineering, 7(6), 130-143. https://doi.org/10.11648/j.ogce.20190706.14

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    ACS Style

    Bo Ning; Zhonghua Chen; Ninghai Fu; Xin Zhao. Simulation of Acid–rock Heterogeneous Flow Reaction Based on the Lattice Boltzmann Method. Int. J. Oil Gas Coal Eng. 2019, 7(6), 130-143. doi: 10.11648/j.ogce.20190706.14

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    AMA Style

    Bo Ning, Zhonghua Chen, Ninghai Fu, Xin Zhao. Simulation of Acid–rock Heterogeneous Flow Reaction Based on the Lattice Boltzmann Method. Int J Oil Gas Coal Eng. 2019;7(6):130-143. doi: 10.11648/j.ogce.20190706.14

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  • @article{10.11648/j.ogce.20190706.14,
      author = {Bo Ning and Zhonghua Chen and Ninghai Fu and Xin Zhao},
      title = {Simulation of Acid–rock Heterogeneous Flow Reaction Based on the Lattice Boltzmann Method},
      journal = {International Journal of Oil, Gas and Coal Engineering},
      volume = {7},
      number = {6},
      pages = {130-143},
      doi = {10.11648/j.ogce.20190706.14},
      url = {https://doi.org/10.11648/j.ogce.20190706.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ogce.20190706.14},
      abstract = {Matrix acidizing is an essential strategy to maintain or increase the productivity or injectivity of hydrocarbon wells. However, for sandstone reservoirs, the heterogeneous flow reaction mechanism of acid–rock in porous media is very complex because of their complex mineral and chemical compositions. It is often difficult to match real formation conditions by experimental simulation. Also, traditional numerical simulation methods have the disadvantages of complex boundary processing and low computational efficiency. In this study, the lattice Boltzmann method (LBM) was used to establish the heterogeneous flow reaction model of acid–rock from a new perspective, which was solved by MATLAB to obtain the distribution of temperature, concentration of various substances, porosity, and permeability. The simulation results indicate that with increases in injection time and injection speed, the temperature and mass transfer distance of the acid will also increase. Changing the injection time had a more obvious influence on the transfer of temperature and mass than did changing the injection speed. The increasing rates of porosity and permeability in the middle of the flow channel were the highest. The fast-reaction mineral content, hydrofluoric acid injection concentration, and acid injection time had a great influence on the acidizing effect, whereas the slow-reaction mineral content, acid injection temperature, and injection speed had little influence on the acidizing effect. The results suggest that to improve the acidizing effect, priority should be given to improve the HF concentration and acid dose. It will be important for further guiding the optimization of acidizing process design parameters.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Simulation of Acid–rock Heterogeneous Flow Reaction Based on the Lattice Boltzmann Method
    AU  - Bo Ning
    AU  - Zhonghua Chen
    AU  - Ninghai Fu
    AU  - Xin Zhao
    Y1  - 2019/12/13
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ogce.20190706.14
    DO  - 10.11648/j.ogce.20190706.14
    T2  - International Journal of Oil, Gas and Coal Engineering
    JF  - International Journal of Oil, Gas and Coal Engineering
    JO  - International Journal of Oil, Gas and Coal Engineering
    SP  - 130
    EP  - 143
    PB  - Science Publishing Group
    SN  - 2376-7677
    UR  - https://doi.org/10.11648/j.ogce.20190706.14
    AB  - Matrix acidizing is an essential strategy to maintain or increase the productivity or injectivity of hydrocarbon wells. However, for sandstone reservoirs, the heterogeneous flow reaction mechanism of acid–rock in porous media is very complex because of their complex mineral and chemical compositions. It is often difficult to match real formation conditions by experimental simulation. Also, traditional numerical simulation methods have the disadvantages of complex boundary processing and low computational efficiency. In this study, the lattice Boltzmann method (LBM) was used to establish the heterogeneous flow reaction model of acid–rock from a new perspective, which was solved by MATLAB to obtain the distribution of temperature, concentration of various substances, porosity, and permeability. The simulation results indicate that with increases in injection time and injection speed, the temperature and mass transfer distance of the acid will also increase. Changing the injection time had a more obvious influence on the transfer of temperature and mass than did changing the injection speed. The increasing rates of porosity and permeability in the middle of the flow channel were the highest. The fast-reaction mineral content, hydrofluoric acid injection concentration, and acid injection time had a great influence on the acidizing effect, whereas the slow-reaction mineral content, acid injection temperature, and injection speed had little influence on the acidizing effect. The results suggest that to improve the acidizing effect, priority should be given to improve the HF concentration and acid dose. It will be important for further guiding the optimization of acidizing process design parameters.
    VL  - 7
    IS  - 6
    ER  - 

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Author Information
  • Research Institute of Petroleum Exploration and Development, Petro China, Beijing, China

  • School of Petroleum Engineering, Chongqing University of Science & Technology, Chongqing, China

  • Research Institute of Petroleum Exploration and Development, Petro China, Beijing, China

  • Research Institute of Petroleum Exploration and Development, Petro China, Beijing, China

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