A Fractal Model For Oil Recovery By Spontaneous Water Imbibition In Tight Oil Reservoirs

References

1. Andersen, P. Ø., Evje, S., & Kleppe, H.
   [2014]. A model for spontaneous imbibition as a mechanism for oil recovery in fractured reservoirs.Transport in porous media, 101(2), 299–331.
   [Google Scholar]
2. Cai, J., Hu, X., Standnes, D. C., & You, L.
   [2012]. An analytical model for spontaneous imbibition in fractal porous media including gravityColloids and Surfaces A: Physicochemical and Engineering Aspects, 414, 228–233.
   [Google Scholar]
3. Chahardowli, M., Farajzadeh, R., & Bruining, H.
   [2014]. Numerical simulation of mutually soluble solvent-aided spontaneous imbibition in fractured reservoirs. In ECMOR XIV-14th European Conference on the Mathematics of Oil Recovery.
   [Google Scholar]
4. Dong, M., & Zhou, J.
   [1998]. Characterization of waterflood saturation profile histories by the ‘complete’capillary number.Transport in porous media,31(2), 213–237.
   [Google Scholar]
5. He, M.
   [2017] Research on imbibition mechanism of tight sandstone reservoir. Master thesis, Yangtze University.
   [Google Scholar]
6. Katz, A., & Thompson, A. H.
   [1985]. Fractal sandstone pores: implications for conductivity and pore formation.Physical Review Letters,54(12), 1325.
   [Google Scholar]
7. Krohn, C. E.
   [1988] Fractal measurements of sandstones, shales, and carbonates.Journal of Geophysical Research: Solid Earth, 93(B4), 3297–3305.
   [Google Scholar]
8. Li, K.
   [2010] Analytical derivation of Brooks-Corey type capillary pressure models using fractal geometry and evaluation of rock heterogeneity.Journal of Petroleum Science and Engineering, 73(1–2), 20–26.
   [Google Scholar]
9. Li, K., & Zhao, H.
   [2012]. Fractal prediction model of spontaneous imbibition rate.Transport in porous media, 91(2), 363–376.
   [Google Scholar]
10. Mandelbrot, B. B.
    [1983]. The fractal geometry of nature (Vol. 173). New York: WH freeman.
    [Google Scholar]
11. Mason, G., & Morrow, N. R.
    [2013]. Developments in spontaneous imbibition and possibilities for future work.Journal of Petroleum Science and Engineering, 110, 268–293.
    [Google Scholar]
12. Meng, Z., Yang, S., Wang, L., Wang, Z., Qian, K., Lei, H., … & Wang, M.
    [2017, May]. A Novel Model for Pore-Scale Spontaneous Imbibition Accounting for Fluid Viscosities. In SPE Reservoir Characterisation and Simulation Conference and Exhibition.Society of Petroleum Engineers.
    [Google Scholar]
13. Mirzaei-Paiaman, A., Kord, S., Hamidpour, E., & Mohammadzadeh, O.
    [2017]. Scaling one-and multidimensional co-current spontaneous imbibition processes in fractured reservoirs.Fuel, 196, 458–472.
    [Google Scholar]
14. Morrow, N. R., & Mason, G.
    [2001]. Recovery of oil by spontaneous imbibition.Current Opinion in Colloid & Interface Science, 6(4), 321–337.
    [Google Scholar]
15. Øen, P. E., & Bakke, S.
    [2003]. Reconstruction of Berea sandstone and pore-scale modelling of wettability effects.Journal of Petroleum Science and Engineering, 39(3–4), 177–199.
    [Google Scholar]
16. Øren, P. E., Bakke, S., & Arntzen, O. J.
    [1998]. Extending predictive capabilities to network models.SPE journal, 3(04), 324–336.
    [Google Scholar]
17. Schmid, K. S., & Geiger, S.
    [2012]. Universal scaling of spontaneous imbibition for water-wet systems.Water Resources Research, 48(3).
    [Google Scholar]
18. Schmid, K. S., Alyafei, N., Geiger, S., & Blunt, M. J.
    [2016]. Analytical solutions for spontaneous imbibition: Fractional-flow theory and experimental analysis.SPE Journal, 21(06), 2–308.
    [Google Scholar]
19. Sorbie, K. S., & Skauge, A.
    [2012]. Can network modeling predict two-phase flow functions?.Petrophysics, 53(06), 401–409.
    [Google Scholar]
20. Unsal, E., Mason, G., Ruth, D. W., & Morrow, N. R.
    [2007]. Co-and counter-current spontaneous imbibition into groups of capillary tubes with lateral connections permitting cross-flow.Journal of colloid and interface science, 315(1), 200–209.
    [Google Scholar]
21. Wang, F., Liu, Z., Jiao, L., Wang, C., & Guo, H.
    [2017]. A Fractal Permeability Model Coupling Boundary-Layer Effect for Tight Oil Reservoirs.Fractals, 25(05), 1750042.
    [Google Scholar]
22. Wang, F., Yang, K., & Cai, J.
    [2018]. Fractal characterization of tight oil reservoir pore structure using nuclear magnetic resonance and mercury intrusion porosimetry.Fractals, 26(02), 1840017.
    [Google Scholar]
23. Washburn, E. W.
    [1921]. The dynamics of capillary flow.Physical Review, 17(3), 273.
    [Google Scholar]
24. Yu, B., & Cheng, P.
    [2002]. A fractal permeability model for bi-dispersed porous media.International Journal of Heat and Mass Transfer, 45(14), 2983–2993.
    [Google Scholar]