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Abstract

Summary

An algorithm is developed to measure local dispersion within the model. The algorithm is based on solving the solution of convective-diffusive equation between two neighbouring cells in a 1D model to identify the relevant Peclet number describing dispersion between them. The algorithm may be applied for the entire pair of grid blocks located in the transition zone; for each pair of grid blocks a Peclet number may be measured. Properly averaging these measured Peclet numbers could provide an estimate of the total system dispersion coefficient. Measurement of dispersion in systems with known numerical and physical dispersions also confirmed algorithm’s accuracy.

The algorithm is later applied to 2D heterogeneous random correlated permeability fields. As with the 1D model, measurement of Peclet numbers may be carried out between all pair of neighbouring cells located only in the transition zone for either horizontal or vertical orientations. This in turn provide estimate regarding dispersion coefficient for that respective orientations.

For each respective orientation, the measured dispersion coefficients can be matched with equivalent numerical grid block sizes replicating the same physical mixing. This provides a rapid tool for estimating the approximate number of grid blocks for different orientations particularly for a miscible simulation.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201802200
2018-09-03
2024-04-18

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References

  1. Chang, Y.-B., Lim, M., Pope, G., & Sepehrnoori, K.
    (1994). CO2 Flow Patterns under Multiphase Flow: Heterogeneous Field-Scale Conditions. SPE Reservoir Engineering, pp208–216.
     [Google Scholar]
  2. CMG-GEM
    . (2014.10). Computer Modelling Group.
     [Google Scholar]
  3. Coats, K., & Smith, B.
    (1964). Dean-End Pore Volume and Dispersion in Porous Media. Society of Petroleum Engineers Journal, pp73–84.
     [Google Scholar]
  4. Fanchi, J.
    (1983). Multidimensional Numerical Dispersion. Society of Petroleum Engineers Journal, pp143–151.
     [Google Scholar]
  5. Gardner, J., Orr, F., & Patel, P.
    (1981). The Effect of Phase Behavior on CO2-Flood Displacement Efficiency. Journal of Petroleum Technology, pp2067–2081.
     [Google Scholar]
  6. Garmeh, G.
    (2011). Investigation of Scale Dependent Dispersivity and Its Impact on Upscaling of Miscible Processes. PhD Thesis.
     [Google Scholar]
  7. Garmeh, G., & Johns, R.
    (2010). Upscaling of Miscible Floods in Heterogeneous Reservoirs Considering Reservoir Mixing. SPE Reservoir Evaluation and Engineering, pp747–763.
     [Google Scholar]
  8. Gelhar, L., & Axness, C.
    (1983). Three-Dimensional Stochastic Analysis of Macrosdispersion in Aquifers. Water Resource Research, Vol 19, No 1.
     [Google Scholar]
  9. Gharbi, R.
    (2002). Dimensionally Scaled Miscible Displacements in Heterogeneous Permeable Media. Transport in Porous Media, pp271–290.
     [Google Scholar]
  10. Gharbi, R., Peters, E., & Elkamel, A.
    (1998). Scaling Miscible Fluid Displacements in Porous Media. Energy & Fuels, pp801–811.
     [Google Scholar]
  11. Haajizadeh, M., Fayers, F., Cockin, A., Roffey, M., & Bond, D.
    (1999). On the Importance of Dispersion and Heterogeneity in the Compositional Simulation of Miscible Gas Processes, SPE 57264. Asia Pacific Improved Oil Recovery Conference. Kuala Lumpur.
     [Google Scholar]
  12. OrrF.Jr.
    , (2007). Theory of Gas Injection Processes. Tie-Line Publications.
     [Google Scholar]
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Measurement Of Physical Dispersion In Random Correlated Permeability Fields And Its Application For Upscaling
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201802200
/content/papers/10.3997/2214-4609.201802200
/content/papers/10.3997/2214-4609.201802200
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