Use of Multi-point Statistics to Reproduce Microporosity - Application Case

References

1. Arns, CH., Averdunk, H., Bauget, F., Sakellariu, A., Senden, T.J., Sheppard, A.P., Sok, R.M., Pinczewski, W.V., and Knackstedt, M.
   [2004] Digital Core Laboratory: Reservoir core analysis from 3D images. ARMA / NARMS 04-498.
   [Google Scholar]
2. Doligez, B., Hamon, Y., Barbier, M., Nader, F., Lerat, O., Beucher, H.
   [2011] Advanced Workflows for joint modelling of sedimentary facies and diagenetic overprint, impact on reservoir quality. SPE-146621.
   [Google Scholar]
3. De Vries, L., Carrera, J., Falivene, O., Gratacós, O., Slooten, J.
   , [2008] Application of Multiple Point Geostatistics to Non-stationary Images. International Association for Mathematical Geology.
   [Google Scholar]
4. Hurley, N. F., Zhao, W., and ZhangT.
   [2012] Multi-scale workflow for reservoir simulation. SPWLA 53rd Annual Logging Symposium.
   [Google Scholar]
5. Knackstedt, M., Arns, C.H., Ghous, A., Sakellariu, A., Senden, T.J., Sheppard, A.P., Sok, R.M., Nguyen, V., and Pinczewski, W.V.
   [2006] 3D imaging and characterization of the pore space of carbonate core; Implications to single and two phase flow properties. SPWLA 47th Annual Logging Symposium.
   [Google Scholar]
6. Labourdette, R., Meyer, A., Sudrie, M., Walgenwitz, F., Javaux, C.
   [2007] Nested stochastic simulation: a new approach in assessing spatial distribution of carbonate sedimentary facies and associated diagenetic overprints. SPE 111410-MS.
   [Google Scholar]
7. León, M.F., Rodriguez, N., Fontanelli, L.
   , [2014], 3D Micro- & Macro- Characterization Workflow for Carbonate Reservoirs, ID: 21168, EAGE 76th Exhibition and Conference.
   [Google Scholar]
8. Saadatfar, M., Turner, ML, ArnsCH, Averdunk, H., Senden, TJ, Sheppard, AP, Sok, RM, Piczewski, WV, Kelly, J., and Knackstedt, M.
   [2005] Rock fabric and texture from digital core analysis. SPWLA 46th Annual Logging Symposium.
   [Google Scholar]
9. Shah, S.M., Yang, J., Crawshaw, J.P., Gharbi, O., Boek, E.S
   [2013] Predicting porosity and permeability of carbonate rocks from pore- to core – scale using medical CT, confocal laser scanning microscopy and micro-CT, SPE-166252.
   [Google Scholar]
10. Straubhaar, J., Renard, P., Mariethoz, G., Froidevaux, R., Besson, O.
    , [2011] An improve parallel Multi-Point algorithm using a list approach. International Association for Matematical Geosciences..
    [Google Scholar]
11. Strebelle, S.
    , [2002] Conditional simulation of complex geological structures using Multiple-Point Statistics. Mathematical Geology, Vol.34.N∘.1.
    [Google Scholar]
12. Tahmasebi, P., Hezarkhami, A., Sahimi, M.
    [2012] Multiple geostatistical modeling based on the cross-correlation functions. Computional Geoscience (2012) 16:779–797.
    [Google Scholar]
13. Zhang, T., Switzer, P. and Journel, A.G.
    [2006] Filter-based classification of training image patterns for spatial simulation. Mathematical Geology, 38(1), 63–80.
    [Google Scholar]
14. Zhang, T., Hurley, N.F., and Zhao, W.
    [2009] Numerical modelling of heterogeneous carbonates and multi-scale dynamics. SPWLA 50th Annual Logging Symposium.
    [Google Scholar]