1887

Abstract

Summary

We demonstrate that it is possible to predict the impact of a sodium silicate injection on oil recovery by using a coupled approach where an industry standard reservoir model, Eclipse, interacts with a simulator for species transport and reaction, IORSim, using file based communication. The main motivation for our approach is that it makes it possible to take advantage of history matched industry standard reservoir models and use these models together with new models for ion transport and geochemical reactions.

In IORSim a block sorting technique is used to speed up the computation of species transport and chemical interactions. IORSim also has a thermal model which can be used if the temperature option is not used in the reservoir simulator.

The validity of our approach has been checked by comparing with analytical solution and by comparing with an in-house reservoir simulator. Our in-house version solves the multiphase sodium silicate system implicitly. We demonstrate that it is possible to get the very similar results with the sequential IORSim-ECLIPSE coupling and our in-house reservoir simulator by choosing reasonable reporting steps in ECLIPSE. The numerical scheme is improved by using an adaptive implicit numerical scheme and a Cranc-Nicolson method for solving the geochemical reactions.

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/content/papers/10.3997/2214-4609.201700283
2017-04-24
2024-04-19
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References

  1. Appelo, C.A.J. and Postma, D.
    [2004] Geochemistry, groundwater and pollution. CRC press.
    [Google Scholar]
  2. Araque-Martinez, A. and Lake, L.
    [2001] A simplified approach to geochemical modeling and its effect on mineral precipitation. SPE JOURNAL, 6(1), 98–107. 1999 SPE Annual Technical Conference and Exhibition, HOUSTON, TX, OCT 03–06, 1999.
    [Google Scholar]
  3. [2004] Modeling Pressure and Temperature Effects on Reactive Flow and its Impact on Well Performance under Common Operational Conditions. SPE, 86528.
    [Google Scholar]
  4. Carrayrou, J., Hoffmann, J., Knabner, P., Kraeutle, S., de Dieuleveult, C., Erhel, J., van der Lee, J., Lagneau, V., Mayer, K.U. and MacQuarrie, K.T.B.
    [2010] Comparison of numerical methods for simulating strongly nonlinear and heterogeneous reactive transport problems-the MoMaS benchmark case. COMPUTATIONAL GEOSCIENCES, 14(3), 483–502. International Workshop on Reactive Transport Modelling, Strasbourg, FRANCE, JAN, 2008.
    [Google Scholar]
  5. Cathles, L.
    [1983] An Analysis of the Hydrothermal System Responsible for Massive Sulfide Deposition in the Hokuroku Basin of Japan. Econ. Geol., Monograph, 5, 439–487.
    [Google Scholar]
  6. Cathles, L., Schoell, M. and Simon, R.
    [1990] CO2 Generation During Steam Flooding: A Geologically-Based Kinetic Model That Includes Carbon Isotope Effects and Application to High Temperature Steamfloods. SPE Reservoir Eng.
    [Google Scholar]
  7. Cathles, L.M. and Shannon, R.
    [2007] How potassium silicate alteration suggests the formation of porphyry ore deposits begins with the nearly explosive but barren expulsion of large volumes of magmatic water. EARTH AND PLANETARY SCIENCE LETTERS, 262(1–2), 92–108.
    [Google Scholar]
  8. CMG
    [2016] ComputerModellingGroup(CMG), http://www.cmgl.ca/software.
  9. Danckwerts, P.
    [1953] Continuous flow systems: distribution of residence times. Chemical engineering science, 2(1), 1–13.
    [Google Scholar]
  10. GeoQuest, S.
    [2016] ECLIPSE Industry-Reference Reservoir Simulator Version 2016.1. Schlumberger.
    [Google Scholar]
  11. Hiorth, A., Sagen, J., Lohne, A., Nossen, J., Vinningland, J., Jettestuen, E. and Sira, T.
    [2016] IORSim - A Simulator for Fast and Accurate Simulation of Multi-phase Geochemical Interactions at the Field Scale. In: ECMOR XV-15th European Conference on the Mathematics of Oil Recovery.
    [Google Scholar]
  12. Huseby, O., Sagen, J. and Dugstad, O.
    [2011] Single Well Chemical Tracer Tests - Fast and Correct Simulations. SPE, 142991-MS SPE.
    [Google Scholar]
  13. Huseby, O., Valestrand, R., NÃęvdal, G. and Sagen, J.
    [2010] Natural and Conventional Tracers for Improving Reservoir Models Using the EnKF Approach. SPE, 121190-PA.
    [Google Scholar]
  14. Iler, R.K.
    [1979] The Chemistry of Silica, Solubility, Polymerization, Colloid and surface Properties and Biochemistry. John Wiley & Sons.
    [Google Scholar]
  15. Lantz, R.B.
    [1971] Quantitative Evaluation of Numerical Diffusion (Truncation Error). Society of Petroleum Engineers, 10.2118/2811‑PA.
    https://doi.org/10.2118/2811-PA [Google Scholar]
  16. Lohne, A., Nø dland, O.M., Stavland, A. and Hiorth, A.
    [2016] A Model for Non-Newtonian Flow in Porous Media at Different Flow Regimes. EAGE, 15th European Conference on the Mathemathics of Oil Recovery, Mo P016.
    [Google Scholar]
  17. Natvig, J.R. and Lie, K.A.
    [2008] Fast computation of multiphase flow in porous media by implicit discontinuous Galerkin schemes with optimal ordering of elements. Journal of Computational Physics, 227(24), 10108 – 10124.
    [Google Scholar]
  18. Omekeh, A., Hiorth, A., Stavland, A. and Lohne, A.
    [2017] Silicate Gel for in-depth placement: Gelation kinetics and preflush design. In: EAGE 19th European Symposium on Improved Oil Recovery.
    [Google Scholar]
  19. Pruess, K. A.
    , [1991] A General-Purpose Numerical Simulator for Multiphase Fluid and Heat Flow. Tech. Rep. LBNL-29400, Berkeley, California.
    [Google Scholar]
  20. Shook, G.M.
    [2003] A simple, fast method of estimating fractured reservoir geometry from tracer tests. Geothermal Resources Council Transactions, 27, 407–411.
    [Google Scholar]
  21. Shook, G.M., Pope, G.A., Asakawa, K. et al.
    [2009] Determining reservoir properties and flood performance from tracer test analysis. In: SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers.
    [Google Scholar]
  22. Skrettingland, K., Dale, E., Stenerud, V., Lambertsen, A., Nordaas, K., Fevang, O. and Stavland, A.
    [2014] Snorre In-depth Water Diversion Using Sodium Silicate - Large Scale Interwell Field Pilot. SPE-169727-MS.
    [Google Scholar]
  23. Skrettingland, K., Giske, N.H., Johnsen, J.H. and Stavland, A.
    [2012] Snorre In-depth Water Diversion Using Sodium Silicate - Single Well Injection Pilot. SPE-154004-MS.
    [Google Scholar]
  24. Skrettingland, K., Ulland, E.N., Ravndal, O., Tangen, M., Kristoffersen, J.B., Stenerud, V.R., Dalen, V., Standnes, D.C., Fevang, Ø., Mevik, K.M., McIntosh, N., Mebratu, A., Melien, I. and Stavland, A.
    [2016] Snorre In-Depth Water Diversion - New Operational Concept for Large Scale Chemical Injection from a Shuttle Tanker. SPE-179602-MS.
    [Google Scholar]
  25. Stavland, A., Jonsbrå ten, H.C., Vikane, O., Skrettingland, K. and Fischer, H.
    [2011a] In-Depth Water Diversion Using Sodium Silicate on Snorre - Factors Controlling In-Depth Placement. SPE-143836-MS.
    [Google Scholar]
  26. Stavland, A., ten, H.J., Vikane, O., Skrettingland, K. and Fischer, H.
    [2011b] In-depth Water Diversion Using Sodium Silicate âĂŞ Preparation for Single Well Field Pilot on Snorre. 16th European Symposium on Improved Oil Recovery Cambridge, UK.
    [Google Scholar]
  27. Thomas, G., Thurnau, D. et al.
    [1983] Reservoir simulation using an adaptive implicit method. Society of Petroleum Engineers Journal, 23(05), 759–768.
    [Google Scholar]
  28. Valestrand, R., Sagen, J., NÃęvdal, G. and Huseby, O.K.
    [2011] The Effect of Including Tracer Data in the Ensemble-Kalman-Filter Approach. SPE, 113440-PA.
    [Google Scholar]
  29. Xu, T. and Pruess, K.
    [1998] Coupled modeling of non-isothermal multiphase flow, solute transport and reactive chemistry in porous and fractured media: 1. Model development and validation. Tech. Rep. LBNL-42050, Berkeley, California.
    [Google Scholar]
  30. Zaberi, H., Al-Mosa, M.A., Huseby, O. et al.
    [2013] Improved Reservoir Surveillance Through Injected Tracers In A Saudi Arabian Field: Case Study. In: SPE Reservoir Characterization and Simulation Conference and Exhibition. Society of Petroleum Engineers.
    [Google Scholar]
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