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Abstract

Summary

We implemented the Adaptive Plurigaussian Simulation method under the Fast Model Update framework on a real field case, utilizing the Ensemble Smoother Multiple Data Assimilation method for assisted history matching. The exercise we present shows that updating facies realizations on a grid by grid level, allows controlling or avoiding the stochastic variations that could lead to a significant spread in reservoir pressure behavior and the fluid flows.

The implementation brought to the asset team new history matching opportunities and also a robust tool for reservoir understanding. It has a direct impact on several reservoir management activities, like detailed well planning, production forecast and drainage strategy optimization, where the reservoir simulation models are broadly used.

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/content/papers/10.3997/2214-4609.201600739
2016-05-30
2024-04-27
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References

  1. Evensen, Geir
    [1994] Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. Journal of Geophysical Research, 99.C5, 10143–10162.
    [Google Scholar]
  2. Hanea, R.G. et al.
    [2014] Geologically Realistic Facies Updates for a North Sea Field. 76th EAGE Conference and Exhibition 2014.
    [Google Scholar]
  3. Sebacher, B. et al.
    [2014] An adaptive plurigaussian truncation scheme for geological uncertainty quantification using EnKF. Under review Computational Geosciences.
    [Google Scholar]
  4. Skjervheim, Jan-Arild, and GeirEvensen
    . [2011] An ensemble smoother for assisted history matching. SPE Reservoir Simulation Symposium. Society of Petroleum Engineers.
    [Google Scholar]
  5. Zachariassen, E. et al.
    [2011] Integrated work flow for model update using geophysical monitoring data. 73rd EAGE Conference & Exhibition.
    [Google Scholar]
  6. Emerick, Alexandre A and Albert CReynolds.
    [2013] Ensemble smoother with multiple data assimilation. Computers & Geosciences, 55, 3–15.
    [Google Scholar]
  7. Ek, T. et al.
    [2015] Geologically Consistent Facies Estimation for a Real Field. 77th EAGE Conference and Exhibition.
    [Google Scholar]
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