Reservoir rocks are heterogeneous at a range of scales. The scale of digital rock physics is mainly at centimeter-level or smaller and can’t effectively study the macroscopic factors. A 3D digital borehole model (DBM) is built referred to geological modeling and integrates logging information, electrical borehole images and CT data of whole core, core plug and subsamples. The porosity is a key role in the DBM modeling as it is intuitional and is a reflection of the reservoir heterogeneity at each scale. At the plug scale the porosity of core plug is calibrated by using image registration method. Multi-scale pore network based on porosity distribution is useful to calculate permeability. Multi-point statistical method (MPS) is used in grid refinement to rebuild fine scale structures for coarse data. At the borehole scale electrical borehole images are translated to porosity maps and used to generate the 3D porosity model of DBM with the method of Filtersim of MPS.


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  1. Blunt, M.J.
    [2001] Flow in porous media—pore-network models and multiphase flow. Current opinion in colloid & interface science, 6(3), 197–207.
    [Google Scholar]
  2. Hurley, N.F., Zhao, W., Zhang, T.
    [2012] Multiscale Workflow For Reservoir Simulation. SPWLA 53rd Annual Logging Symposium, Cartagena, Colombia.
    [Google Scholar]
  3. Jiang, Z., Dijke, M.I.J., Sorbie, K.S., et al.
    [2013] Representation of multiscale heterogeneity via multiscale pore networks. Water Resources Research, 49(9), 5437–5449.
    [Google Scholar]
  4. Kalam, M.Z.
    [2012] Digital Rock Physics for Fast and Accurate Special Core Analysis in Carbonates. New Technologies in the Oil and Gas Industry. Abu Dhabi: In Tech Publishers.
    [Google Scholar]
  5. Khalili, A.D., Arns, C.H., Arns, J.Y., et al.
    [2013] Permeability Upscaling for Carbonates From the Pore Scale by Use of Multiscale X-Ray-CT Images. SPE Reservoir Evaluation & Engineering, 16 (04): 353–368.
    [Google Scholar]
  6. Newberry, B.M., Grace, L.M., Stief, D.D.
    [1996] Analysis of carbonate dual porosity systems from borehole electrical images. Permian Basin oil & gas recovery conference, 123–129.
    [Google Scholar]
  7. Ni, D., Chui, Y.P., Qu, Y., et al.
    [2009] Reconstruction of volumetric ultrasound panorama based on improved 3D SIFT. Computerized medical imaging and graphics, 33(7), 559–566.
    [Google Scholar]
  8. Saenger, E.H., Madonna, C.
    [2011] Digital rock physics: Numerical vs. laboratory measurements SEG Annual Meeting. Society of Exploration Geophysicists.
    [Google Scholar]
  9. Sok, R.M., Varslot, T., Ghous, A., et al.
    [2010] Pore Scale Characterization of Carbonates at Multiple Scales: Integration of Micro-CT, BSEM, FIBSEM. Petrophysics, 51(6): 379–387.
    [Google Scholar]
  10. Zhang, T., Hurley, N.F., Zhao, W.
    [2009] Numerical modeling of heterogeneous carbonates and multi-scale dynamics. SPWLA 50th Annual Logging Symposium, Texas, United States.
    [Google Scholar]

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