1887

Abstract

Summary

Data assimilation methods and multi-realisation geomodelling workflow have been applied to history match a heavily faulted turbidic reservoir. With this approach it was possible to take into account a large number of uncertainties related to seismic data interpretation, geological modelling and dynamic data.

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/content/papers/10.3997/2214-4609.201902200
2019-09-02
2020-09-29
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References

  1. AbadpourA., AdejareM., ChugunovaT., MathieuH., HallerN.
    , 2018. Integrated Geomodelling and Ensemble History Matching of Complex Fractured Carbonate and Deep Offshore Turbidite Fields, generation of Several Geologically Coherent Solutions Using Ensemble Methods. SPE-193028-MS ADIPECAbu Dhabi, UAE, 12–15 November 2018.
    [Google Scholar]
  2. AbadpourA., AdejareM., ChugunovaT., DeboaisneR.
    , 2017. Characterization and uncertainty reduction on Facies distribution and probability cubes with ensemble Kalman filter history matching. SPE-186074-MS, SPE Reservoir Characterization and Simulation Conference and Exhibition, 8–10 mai 2017, Abu Dhabi, UAE.
    [Google Scholar]
  3. EmerickA.A., ReynoldsA.
    , 2013. Ensemble Smoother with Multiple Data Assimilation. Computers & Geosciences55:3–15
    [Google Scholar]
  4. EvensenG.
    , 2007. Data Assimilation. The ensemble Kalman Filter. Springer-VerlagBerlin Heidelberg Editor
    [Google Scholar]
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