1887

Abstract

Summary

It is an important and hot issue to simulate flows in tight reservoirs with complex fractures. Large work has been done to study the transport between the matrix and fracture. However, pseudo-steady-state transfer encounters difficulty due to extremely low matrix permeability for tight reservoirs. Transient transfer shape factor between matrix and fracture should be considered. Considering the transient transfer, a simulation workflow is developed using Discrete-Fracture and Continuum Models, i.e., embedded-discrete-fracture model (EDFM) and dual porosity (DP) model. We consider the SRV region and USRV region respectively. In the SRV region, the EDFM+DP model is used while for USRV, the single porosity model is used. The DP concept allows the hybrid model to handle the transient transfer between matrix and secondary fracture in SRV region. The model is verified by comparing with EDFM+MINC model. The effect of some parameters on oil production are analyzed. The prediction capacity of the new hybrid model is better when replacing pseudo steady state transfer to transient transfer between matrix and secondary fracture in SRV region.

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/content/papers/10.3997/2214-4609.201802208
2018-09-03
2024-04-18
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References

  1. JiangJ, YounisR M.
    A multimechanistic multicontinuum model for simulating shale gas reservoir with complex fractured system[J]. Fuel, 2015, 161: 333–344.
    [Google Scholar]
  2. WengX, KresseO, ChuprakovD, et al.
    Applying complex fracture model and integrated workflow in unconventional reservoirs[J]. Journal of Petroleum Science and Engineering, 2014, 124: 468–483.
    [Google Scholar]
  3. SunJ, SchechterD, HuangC K.
    Grid-sensitivity analysis and comparison between unstructured perpendicular bisector and structured tartan/local-grid-refinement grids for hydraulically fractured horizontal wells in eagle ford formation with complicated natural fractures[J]. SPE Journal, 2016, 21(06): 2,260–2,275.
    [Google Scholar]
  4. SunJ, SchechterD.
    Investigating the effect of improved fracture conductivity on production performance of hydraulically fractured wells: field-case studies and numerical simulations[J]. Journal of Canadian Petroleum Technology, 2015, 54(06): 442–449.
    [Google Scholar]
  5. SunJ, GamboaE S, SchechterD, et al.
    An integrated workflow for characterization and simulation of complex fracture networks utilizing microseismic and horizontal core data[J]. Journal of Natural Gas Science and Engineering, 2016, 34: 1347–1360.
    [Google Scholar]
  6. WangY, ShahvaliM.
    Discrete fracture modeling using Centroidal Voronoi grid for simulation of shale gas plays with coupled nonlinear physics[J]. Fuel, 2016, 163: 65–73.
    [Google Scholar]
  7. JiangJ, YounisR M.
    Hybrid coupled discrete-fracture/matrix and multicontinuum models for unconventional-reservoir simulation[J]. SPE Journal, 2016, 21(03): 1,009–1,027.
    [Google Scholar]
  8. ZhangR, ZhangL, WangR, et al.
    Simulation of a multistage fractured horizontal well with finite conductivity in composite shale gas reservoir through finite-element method[J]. Energy & Fuels, 2016, 30(11): 9036–9049.
    [Google Scholar]
  9. MoinfarA, VaraveiA, SepehrnooriK, et al.
    Development of an efficient embedded discrete fracture model for 3D compositional reservoir simulation in fractured reservoirs.SPE J., 2014,19 (2), 289–303
    [Google Scholar]
  10. LeeS. H., JensenC. L., LoughM. F.
    An efficient finite difference model for flow in a reservoir with multiple length-scale fractures[C]. SPE 56752, 1999.
    [Google Scholar]
  11. LeeS. H., LoughM. F., JensenC. L.
    Hierarchical modeling of flow in naturally fractured formations with multiple length scales[J]. Water Resources Research, 2001, 37(3): 443–455.
    [Google Scholar]
  12. LiL., LeeS. H.
    Efficient field-scale simulation of black oil in a naturally fractured reservoir through discrete fracture networks and homogenized media[J]. SPE Reservoir Evaluation & Engineering, 2008, 11(4): 750–758.
    [Google Scholar]
  13. TeneM, BosmaS B M, Al KobaisiM S, et al.
    Projection-based embedded discrete fracture model (pEDFM)[J]. Advances in Water Resources, 2017, 105: 205–216.
    [Google Scholar]
  14. JiangJ, YounisR M.
    An improved projection-based embedded discrete fracture model (pEDFM) for multiphase flow in fractured reservoirs[J]. Advances in Water Resources, 2017, 109: 267–289.
    [Google Scholar]
  15. SiripatrachaiN, ErtekinT, JohnsR T.
    Compositional Simulation of Hydraulically Fractured Tight Formation Considering the Effect of Capillary Pressure on Phase Behavior[J]. SPE Journal, 2017.
    [Google Scholar]
  16. Zuloaga-MoleroP, YuW, XuY, et al.
    Simulation Study of CO2-EOR in Tight Oil Reservoirs with Complex Fracture Geometries[J]. Scientific reports, 2016, 6: 33445.
    [Google Scholar]
  17. FumagalliA, PasqualeL, ZoncaS, et al.
    An upscaling procedure for fractured reservoirs with embedded grids[J]. Water Resources Research, 2016, 52(8): 6506–6525.
    [Google Scholar]
  18. LiuZ, ForouzanfarF.
    Ensemble clustering for efficient robust optimization of naturally fractured reservoirs[J]. Computational Geosciences, 2017: 1–14.
    [Google Scholar]
  19. NorbeckJ H, McClureM W, LoJ W, et al.
    An embedded fracture modeling framework for simulation of hydraulic fracturing and shear stimulation[J]. Computational Geosciences, 2016, 20(1): 1–18.
    [Google Scholar]
  20. WarrenJ E, RootP J.
    The behavior of naturally fractured reservoirs[J]. Society of Petroleum Engineers Journal, 1963, 3(03): 245–255.
    [Google Scholar]
  21. KazemiH, MerrillL SJr, PorterfieldK L, et al.
    Numerical simulation of water-oil flow in naturally fractured reservoirs[J]. Society of Petroleum Engineers Journal, 1976, 16(06): 317–326.
    [Google Scholar]
  22. BrownM, OzkanE, RaghavanR, et al.
    Practical solutions for pressure-transient responses of fractured horizontal wells in unconventional shale reservoirs[J]. SPE Reservoir Evaluation & Engineering, 2011, 14(06): 663–676.
    [Google Scholar]
  23. BourbiauxB, DingD.
    Simulation of transient matrix-fracture transfers of compressible fluids[J]. Transport in Porous Media, 2016, 114(3): 695–717.
    [Google Scholar]
  24. FarahN, DingD Y, WuY S, et al.
    Simulation of Fracturing Water Invasion and its Impact on Gas Production in Shale-gas Reservoirs[C]//ECMOR XIV-14th European conference on the mathematics of oil recovery. 2014.
    [Google Scholar]
  25. WuY S, LiJ, DingD, et al.
    A generalized framework model for the simulation of gas production in unconventional gas reservoirs[J]. SPE Journal, 2014, 19(05): 845–857.
    [Google Scholar]
  26. WangK, LiuH, LuoJ, et al.
    A Comprehensive Model Coupling Embedded Discrete Fractures, Multiple Interacting Continua, and Geomechanics in Shale Gas Reservoirs with Multiscale Fractures[J]. Energy & Fuels, 2017, 31(8): 7758–7776.
    [Google Scholar]
  27. ZimmermanR W, ChenG, HadguT, et al.
    A numerical dual-porosity model with semianalytical treatment of fracture/matrix flow[J]. Water resources research, 1993, 29(7): 2127–2137.
    [Google Scholar]
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