1887

Abstract

Summary

We focus on numerical simulation of low salinity waterflood on outcrop-based models, which are representative of North Sea fractured chalk reservoirs. To this end, we consider a 2D model of an outcrop at Lägerdorf quarry in northwest Germany, which reveals an extensive fracture network together with several major faults, see Koestler and Rekstein (1995). The model is populated with rock and fluid properties, representative for North Sea chalk reservoirs, see ).

We discretize the domain using a Discrete Fracture Matrix (DFM) approach so that the fractures are represented as low-dimensional finite volumes, see . Low salinity waterflood is modelled as a two-phase oil-water immiscible displacement with oil being a single component incompressible liquid. The water phase is represented either with two components – high-salinity (HS) and low-salinity (LS) injection water, or with a variable number of chemical elements. In the latter case, the thermodynamic equilibrium for the water phase is achieved by coupling the transport solver to the reaction module PhreeqcRM of ). This model was implemented in DuMuX, a free and open-source simulator for flow and transport processes in porous media, see .

We run a sensitivity study on the dependency of recovery rate on water injection rates for various fracture apertures and wettability distribution. The results demonstrate that for certain range of injection rates there is an optimal value in terms of recovery rate vs. number of pore volumes injected.

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2019-04-08
2024-04-18
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References

  1. Adler, P.M., Thovert, J.-F., and Mourzenko, V.V.
    [2012] Fractured Porous Media, Oxford University Press.
    [Google Scholar]
  2. Al-adasaniA., Bai, B., and Wu, Y.-S.
    [2012] Investigating low salinity waterflooding recovery mechanisms in carbonate reservoirs. Society of Petroleum Engineers. doi: 10.2118/155560‑MS.
    https://doi.org/10.2118/155560-MS. [Google Scholar]
  3. Al-Shalabi, E.W., Sepehrnoori, K., Pope, G., and Mohanty, K.
    [2014] A fundamental model for predicting oil recovery due to low salinity water injection in carbonate rocks. Society of Petroleum Engineers. doi: 10.2118/169911‑MS.
    https://doi.org/10.2118/169911-MS. [Google Scholar]
  4. Andrianov, N. and Nick, H.M.
    [2019] Numerical simulation of low salinity waterflood in fractured rocks, submitted.
    [Google Scholar]
  5. de BruinW.J.
    [2012] Simulation of geochemical processes during low salinity water flooding by coupling multiphase Buckley-Leverett flow to the geochemical package PHREEQC, MSc Thesis, Delft University of Technology.
    [Google Scholar]
  6. Chen, Z., Huan, G., and Ma, Y.
    [2006] Computational methods for multiphase flows in porous media, Society for Industrial and Applied Mathematics, Philadelphia.
    [Google Scholar]
  7. Flemisch, B., Darcis, M., Erbertseder, K., Faigle, B., Lauser, A., Mosthaf, K., Müthing, S., Nuske, P., Tatomir, A., Wolff, M. and Helmig, R.
    [2011] DuMux: DUNE for multi-{phase, component, scale, physics, …} flow and transport in porous media. Advances in Water Resources34(9), 1102-1112.
    [Google Scholar]
  8. Geiger, S. and Matthäi, S.
    [2012] What can we learn from high-resolution numerical simulations of single- and multi-phase fluid flow in fractured outcrop analogues?Geological Society, London, Special Publications, 374, 125–144. doi:10.1144/SP374.8.
    https://doi.org/10.1144/SP374.8. [Google Scholar]
  9. Geuzaine, C. and Remacle, J.-F.
    [2009] Gmsh: a three-dimensional finite element mesh generator with built-in pre- and post-processing facilities. International Journal for Numerical Methods in Engineering79(11), 1309–1331.
    [Google Scholar]
  10. Gläser, D., Helmig, R, Flemisch, B., and Class, H.
    [2017] A discrete fracture model for two-phase flow in fractured porous media, Advances in Water Resources110, 335–348.
    [Google Scholar]
  11. Graue, A., and Bognø, T.
    [1999] Wettability effects on oil recovery mechanisms in fractured reservoirs. Society of Petroleum Engineers. doi: 10.2118/56672‑MS.
    https://doi.org/10.2118/56672-MS. [Google Scholar]
  12. Healy, D., Rizzo, R.E., Cornwell, D.G., Farrell, N.J.C., Watkins, H., Timms, N.E., Gomez-Rivas, E., and Smith, M.
    [2017] FracPaQ: A MATLAB™ toolbox for the quantification of fracture patterns, Journal of Structural Geology95, 1–16. doi: 10.1016/j.jsg.2016.12.003.
    https://doi.org/10.1016/j.jsg.2016.12.003. [Google Scholar]
  13. Helmig, R.
    [1997] Multiphase flow and transport processes in the subsurface–a contribution to the modeling of hydrosystems, Springer.
    [Google Scholar]
  14. Jerauld, G.R., Webb, K.J., Lin, C.-Y., and Seccombe, J.
    [2006] Modeling low-salinity waterflooding. Society of Petroleum Engineers. doi:10.2118/102239‑MS.
    https://doi.org/10.2118/102239-MS. [Google Scholar]
  15. Karimi-Fard, M. and Durlofsky, L.J.
    [2016] A general gridding, discretization, and coarsening methodology for modeling flow in porous formations with discrete geological features, Advances in Water Resources96, 354–372.
    [Google Scholar]
  16. Koestler, A.G. and Reksten, K.
    [1995] 3D characterization of the fracture network in a deformed chalk reservoir analogue: the Lagerdorf case. Society of Petroleum Engineers. doi: 10.2118/28728‑PA.
    https://doi.org/10.2118/28728-PA. [Google Scholar]
  17. Mallison, B.T., Hui, M.H., and Narr, W.
    [2010] Practical gridding algorithms for discrete fracture modeling workflows, in Proc. ECMOR XII–12th European Conference on the Mathematics of Oil Recovery, 6–9 September 2010, Oxford, UK. Nelson, R.A. [2001] Geologic analysis of naturally fractured reservoirs, Gulf Professional Publishing, Boston.
    [Google Scholar]
  18. Osjord, E.H., Rønningsen, H.P., and Tau, L.
    [1985] Distribution of weight, density, and molecular weight in crude oil derived from computerized capillary GC analysis. J. High Resol. Chromatogr., 8, 683–690. doi: 10.1002/jhrc.1240081008.
    https://doi.org/10.1002/jhrc.1240081008. [Google Scholar]
  19. Parkhurst, D.L. and Wissmeier, L.
    [2015] PhreeqcRM: A reaction module for transport simulators based on the geochemical model PHREEQC, Advances in Water Resources, 83, 176–189. doi: 10.1016/j.advwatres.2015.06.001.
    https://doi.org/10.1016/j.advwatres.2015.06.001. [Google Scholar]
  20. Sorop, T.G., Suijkerbuijk, B.M.J.M., Masalmeh, S.K., Looijer, M.T., Parker, A.R., Dindoruk, D.M., Goodyear, S.G, and Al-Qarshubi, I.S.M.
    [2013] Integrated approach in deploying low salinity waterflooding. Society of Petroleum Engineers. doi: 10.2118/165277‑MS.
    https://doi.org/10.2118/165277-MS. [Google Scholar]
  21. Srivastava, R.M., Frykman, P, and Jensen, M.
    [2005] Geostatistical simulation of fracture networks. In Leuangthong, O. and Deutsch, C.V. (Eds.) Geostatistics Banff2004, 295–304. Quantitative Geology and Geostatistics, vol 14. Springer, Dordrecht. doi: 10.1007/978‑1‑4020‑3610‑1_30.
    https://doi.org/10.1007/978-1-4020-3610-1_30. [Google Scholar]
  22. Taheri, M., Bonto, M., Eftekhari, A.A., and Nick, H.M.
    [2019] Towards identifying the mechanisms of the modified-salinity water flooding by a novel combination of core-flooding and mathematical modeling, Society of Petroleum Engineers, SPE-195110.
    [Google Scholar]
  23. Yu, L., Evje, S., Kleppe, H., Karstad, T., Fjelde, I., & Skjaeveland, S.M.
    [2008] Analysis of the wettability alteration process during seawater imbibition into preferentially oil-wet chalk cores. Society of Petroleum Engineers. doi: 10.2118/113304‑MS.
    https://doi.org/10.2118/113304-MS. [Google Scholar]
  24. Zienkiewicz, O.C. and Taylor, R.L.
    [2000] The finite element method–volume 1: the basis, 5th edition, Butterworth-Heinemann, Oxford.
    [Google Scholar]
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