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Abstract

Summary

West Salym (WS) is a typical mature West Siberian oil field that has been developed since 2004 and waterflooded since 2005. Oil production peaked in 2012 and despite evergreen waterflood optimization activities the production from WS is declining. Expected ultimate recovery due to the waterflooding is 38% leaving significant oil in place as a target for tertiary oil recovery. The technique, called Alkaline-Surfactant-Polymer (ASP) flooding, was selected as the most suitable for WS reservoir conditions. To assess the technology potential a series of laboratory studies, a Single Well Chemical Tracer field test, and finally a multi-well ASP flooding pilot were executed. With incremental oil recovery of 17% the pilot project has demonstrated the technical success of ASP flooding. Currently, the project team is working on the economic viability of large-scale chemical flooding in WS to ensure further development of the project.

This paper focuses on the workflow developed for scaling up the WS pilot results to a commercial-scale project and on the optimization of chemical flooding efficiency. Realistic representation of complex flow mechanisms and interaction of injected chemicals with the reservoir rock and fluids occurring during the (A)SP displacement is a technical challenge for the evaluation of the potential for a large scale commercial project. Dynamic reservoir modelling has been widely used for this task replacing the analytical techniques under the premise of delivering more reliable results. For accurate modelling of chemical flooding recovery mechanisms, the use of fine grid simulations, rather than coarse grids with upscaled physical properties, is recommended whenever feasible. Additionally, the chemical flooding optimization is an iterative process to find the most economic combination of chemical flood design (concentration of chemicals vs. slug sizes), surface/subsurface configuration and pace of project expansion. Such iterative forecasting combined with the need for fine grid dynamic models is usually associated with long run times.

One key attribute of our approach is the use of modern dynamic modelling software that allows time-efficient modelling of the chemical flooding. A commercial simulator optimized to provide the best parallel performance on multicore platforms was used. The general formulation of the ASP flooding mathematical model valid for both black-oil and compositional descriptions, captures the major chemical flooding effects i.e. modification of relative permeability, interfacial tension, water viscosity, interaction and retention of injected chemicals, etc.

The developed workflow has been successfully utilized to predict and optimize the performance of (A)SP flooding scenarios in tertiary mode for the West Salym oil field.

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/content/papers/10.3997/2214-4609.201900066
2019-04-08
2020-04-09
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References

  1. Alkindi, A. Mahrouqi, D. Baqlani, S. Llaguno, I. Mjeni, R. Mahrooqi, M. Nadeem, M.
    [2018] ASP journey, from Pilot to Full Field Implementation in South of the Sultanate of Oman, SPE 193177
    [Google Scholar]
  2. Anand, A. van Batenburg, D. W. Parker, A. Eikmans, D. Boersma, D.
    [2015] ASP as a Brown Field Re-Development Opportunity–Based on a Case Study, SPE 174680
    [Google Scholar]
  3. Buijse, M.A., Prelicz, R.M., Barnes, J.R., and Cosmo, C.
    [2010] Application of Internal Olefin Sulfonates and Other Surfactants to EOR. Part 2: The Design and Execution of an ASP Field Test, SPE 129769
    [Google Scholar]
  4. Delamaide, E., Tabary, R., Rousseau, D.
    [2014] Chemical EOR in Low Permeability Reservoirs, SPE 169673
    [Google Scholar]
  5. Dijk, H., Buijse, M.A., Nieuwerf, J., Watherill, A., Bouts, M., Kassim, A., Stoica, F., and Cosmo, C.
    [2010] Salym Chemical EOR Project, Integration Leads the Way to Success, SPE 136328
    [Google Scholar]
  6. Erke, S.I., Volokitin, I.Y., Edelman, I.Y., Karpan, V.M., Nasralla, R.A., Bondar, M.Y., Mikhaylenko, E.E., Evseeva, M.
    [2016] Low Salinity Flooding Trial at West Salym Field, SPE 179629
    [Google Scholar]
  7. Evseeva, M.Y., Ushakova, A.S., Volokitin, Y.E., Brusilovsky, A.I., ShaymardanovM.M.
    [2012] The Analytical Basis for Acceptability Appraisal of the High-Pressure Air Injection for West Siberian Oil Fields, SPE 162064
    [Google Scholar]
  8. Farajzadeh, R., Matsuura, T., van Batenburg, D., Dijk, H.
    [2012] Detailed Modeling of the Alkali/ Surfactant/Polymer (ASP) Process by Coupling a Multipurpose Reservoir Simulator to the Chemistry Package PHREEQC, SPE 143671
    [Google Scholar]
  9. Hall, H.N.
    , [1963] How to Analyze Waterflood Injection Well Performance, World Oil (Oct 1963)128–30
    [Google Scholar]
  10. Karpan, V. Farajzadeh, R. Zarubinska, M. Dijk, H. Matsuura, T.
    [2011] Selecting the “Right” ASP Model by History Matching Coreflood Experiments, SPE 144088
    [Google Scholar]
  11. Karpan, V.M. Volokitin, Y.I. Shuster, M.Y. Tigchelaar, W. Chmuzh, I.V. Koltsov, I.N. Tkachev, I.V. van Batenburg, D.W. Faber, M.J. Skripkin, A.
    [2014] West Salym ASP pilot: Project front-end engineering. SPE 169157
    [Google Scholar]
  12. Moreno, J.E.
    [2015] EOR: Challenges of Translating Fine Scale Displacement into Full Field Models Part 3, SPE 174565
    [Google Scholar]
  13. Najafabadi, N.F. Chawathe, A.
    [2016] Proper Simulation of Chemical EOR (CEOR) Pilots–A Real Case Study. SPE 179659
    [Google Scholar]
  14. Nelson, R.C., Lawson, J.B., Thigpen, D.R., and StegemeierG.L.
    [1984] Cosufractant-Enhanced Alkaline Flooding, SPE 12672
    [Google Scholar]
  15. Regtien, J.M.M., Por, G.J.A., van Stiphout, M.T., and van der Vlugt, F.F.
    , [1995] Interactive Reservoir Simulation”, SPE29146
    [Google Scholar]
  16. Sheng, J.J.
    [2013] A Comprehensive Review of Alkaline-Surfactant-Polymer (ASP) Flooding. SPE 165358
    [Google Scholar]
  17. Skripkin, A.G. Kuznetsov, I.A. Volokitin, Ya.V. Chmuzh, I.V.
    [2012] Experimental Studies of Oil Recovery After Alkali-Surfactant-Polymer (ASP) Flooding with West Salym Cores, SPE 162063
    [Google Scholar]
  18. Suijkerbuijk, B.M.J.M., Sorop, T.G., Masalmeh, S.K., Karpan, V.M., Volokitin, Y.E., Skripkin, A.
    , [2014] Low Salinity Waterflooding at West-Salym: Laboratory Experiments and Field Forecasts, SPE 169102
    [Google Scholar]
  19. Telishev, A. Bogachev, K. Shelkov, V. Eydinov, D. Tran, H.
    [2017] Hybrid Approach to Reservoir Modelling Based on Modern CPU and GPU Computational Platforms. SPE 187797
    [Google Scholar]
  20. Torrealba, V.A. Hoteit, H. Chawathe, A.
    [2017] Improving Chemical EOR Simulations and Reducing the Subsurface Uncertainty Using Downscaling Conditioned to Tracer Data. SPE 187276
    [Google Scholar]
  21. Van der Heyden, F.H.J. Mikhaylenko, E. de Reus, A.J. van Batenburg, D.W. Karpan, V.M. Volokitin, Y.
    [2017] Injectivity experiences and its surveillance in the West Salym ASP pilot. Paper Th B07 presented at the 19th European Symposium on Improved Oil Recovery, Stavanger, Norway, 24–27 April.
    [Google Scholar]
  22. Volokitin, Y. Shuster, M. Karpan, V. Mikhaylenko, E. Koltsov, I. Rakitin, A. Tkachev, I. Podberezhny, M.
    [2017] West Salym ASP pilot: Surveillance Results and Operational Challenges, SPE 187838
    [Google Scholar]
  23. Volokitin, Y. Shuster, M. Karpan, …
    [2018] Results of Alkaline-Surfactant-Polymer Flooding Pilot in West Salym. SPE 190382
    [Google Scholar]
  24. Wever, D., Karpan, V., Glasbergen, G., Koltsov, I., Shuster, M., Volokitin, Y., Gaillard, N. and Daguerre, F.
    [2017] Polymer Injectivity de-risking for the ASP pilot in West-Salym. Paper Th B05 presented at the 19th European Symposium on Improved Oil Recovery, Stavanger, Norway, 24–27 April.
    [Google Scholar]
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