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Volumn 5, Issue , 2009, Pages 3521-3534

Revisiting Brugge case study using a hierarchical ensemble Kaiman filter

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK STUDY; DAMPING FACTORS; FIELD STUDIES; FIRST CYCLE; GAUSSIANITY; GEOSTATISTICAL; HIERARCHICAL ENSEMBLE; KAIMAN FILTER; LOCALISATION; RESERVOIR MODELS; SAMPLING ERRORS; STATE VARIABLES; VARIOGRAMS;

EID: 77952383310     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (19)
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  • 3
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    • Alhuthali, A. H., A. Datta-Gupta, B. Yuen, and J. P. Fontanilla, Field applications of waterflood optimization via optimal rate control with smart wells, in SPE Reservoir Simulation Symposium, The Woodlands, Texas, U.S.A., 2009, SPE 118948-MS.
    • (2009) SPE Reservoir Simulation Symposium
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  • 4
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    • Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter
    • Anderson, J. L., Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter, Physica D, 230, 99-111, 2007.
    • (2007) Physica D , vol.230 , pp. 99-111
    • Anderson, J.L.1
  • 6
    • 55549084218 scopus 로고    scopus 로고
    • History matching and production forecast uncertainty by means of the ensemble Kaiman filter: A real field application
    • London, U.K. SPE 107161
    • Bianco, A., A. Cominelli, L. Dovera, G. Nævdal, and B. Vallès, History matching and production forecast uncertainty by means of the ensemble Kaiman filter: a real field application, in EAGE/EUROPEC Conference and Exhibition, London, U.K., 2007, SPE 107161.
    • (2007) EAGE/EUROPEC Conference and Exhibition
    • Bianco, A.1    Cominelli, A.2    Dovera, L.3    Nævdal, G.4    Vallès, B.5
  • 7
    • 70450208902 scopus 로고    scopus 로고
    • Ensemble-based closed-loop optimization applied to brugge field
    • The Woodlands, Texas, U.S.A. SPE 118926
    • Chen, Y. and D. S. Oliver, Ensemble-based closed-loop optimization applied to Brugge field, in SPE Reservoir Simulation Symposium, The Woodlands, Texas, U.S.A., 2009, SPE 118926.
    • (2009) SPE Reservoir Simulation Symposium
    • Chen, Y.1    Oliver, D.S.2
  • 8
    • 34249027618 scopus 로고    scopus 로고
    • Efficient and robust reservoir model updating using ensemble kaiman filter with sensitivity-based covariance localization
    • Houston, Texas, U.S.A. SPE 106144
    • Devegowda, D., E. Arroyo-Negrete, A. Datta-Gupta, and S. G. Douma, Efficient and robust reservoir model updating using ensemble Kaiman filter with sensitivity-based covariance localization, in SPE Reservoir Simulation Symposium, Houston, Texas, U.S.A., 2007, SPE 106144.
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  • 11
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  • 14
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    • Closed loop reservoir management using the ensemble Kaiman filter and sequential quadratic programming
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  • 15
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    • Peters, E., R. J. Arts, G. K. Brouwer, and C. R. Geel, Results of the Brugge benchmark study for flooding optimization and history matching, in SPE Reservoir Simulation Symposium, The Woodlands, Texas, U.S.A., 2009, SPE 119094.
    • (2009) SPE Reservoir Simulation Symposium
    • Peters, E.1    Arts, R.J.2    Brouwer, G.K.3    Geel, C.R.4
  • 16
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  • 17
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    • submitted
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