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Volumn 17, Issue 4, 2013, Pages 689-703

Levenberg-Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification

Author keywords

Ensemble Kalman filter; Ensemble randomized maximum likelihood method; Ensemble smoother; Iterative EnKF; Iterative ensemble smoother; Levenberg Marquardt

Indexed keywords

ALGORITHM; DATA ASSIMILATION; EFFICIENCY MEASUREMENT; GAUSSIAN METHOD; KALMAN FILTER; MARKOV CHAIN; MAXIMUM LIKELIHOOD ANALYSIS; MODEL TEST; MONTE CARLO ANALYSIS; ONE-DIMENSIONAL MODELING; SMOOTHING; TWO PHASE FLOW;

EID: 84880060911     PISSN: 14200597     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10596-013-9351-5     Document Type: Article
Times cited : (344)

References (21)
  • 1
    • 1142266333 scopus 로고    scopus 로고
    • Semi-automatic history matching using the pilot point method including time-lapse seismic data
    • 30 September-3 October 2001. New Orleans, Louisiana
    • Arenas, E., van Kruijsdijk, C., Oldenziel, T.: Semi-automatic history matching using the pilot point method including time-lapse seismic data. In: SPE Annual Technical Conference and Exhibition, 30 September-3 October 2001. New Orleans, Louisiana (2001).
    • (2001) SPE Annual Technical Conference and Exhibition
    • Arenas, E.1    van Kruijsdijk, C.2    Oldenziel, T.3
  • 2
    • 84863313070 scopus 로고    scopus 로고
    • Combining inflation-free and iterative ensemble Kalman filters for strongly nonlinear systems
    • Bocquet, M., Sakov, P.: Combining inflation-free and iterative ensemble Kalman filters for strongly nonlinear systems. Nonlin. Process. Geophys. 19(3), 383-399 (2012).
    • (2012) Nonlin. Process. Geophys. , vol.19 , Issue.3 , pp. 383-399
    • Bocquet, M.1    Sakov, P.2
  • 3
    • 23044533124 scopus 로고    scopus 로고
    • Spatial prediction of categorical variables: the Bayesian maximum entropy approach
    • Bogaert, P.: Spatial prediction of categorical variables: the Bayesian maximum entropy approach. Stoch. Environ. Res. Risk Assess. 16(6), 425-448 (2002).
    • (2002) Stoch. Environ. Res. Risk Assess. , vol.16 , Issue.6 , pp. 425-448
    • Bogaert, P.1
  • 4
    • 77949789147 scopus 로고    scopus 로고
    • Ensemble-based closed-loop optimization applied to Brugge Field
    • Chen, Y., Oliver, D. S.: Ensemble-based closed-loop optimization applied to Brugge Field. SPE Reserv. Eval. Eng. 13(1), 56-71 (2010).
    • (2010) SPE Reserv. Eval. Eng. , vol.13 , Issue.1 , pp. 56-71
    • Chen, Y.1    Oliver, D.S.2
  • 5
    • 84855648156 scopus 로고    scopus 로고
    • Ensemble randomized maximum likelihood method as an iterative ensemble smoother
    • Chen, Y., Oliver, D. S.: Ensemble randomized maximum likelihood method as an iterative ensemble smoother. Math. Geosci. 44(1), 1-26 (2012).
    • (2012) Math. Geosci. , vol.44 , Issue.1 , pp. 1-26
    • Chen, Y.1    Oliver, D.S.2
  • 6
    • 84874950917 scopus 로고    scopus 로고
    • Investigation of the sampling performance of ensemble-based methods with a simple reservoir model
    • Emerick, A., Reynolds, A.: Investigation of the sampling performance of ensemble-based methods with a simple reservoir model. Comput. Geosci. 17, 1-26 (2013).
    • (2013) Comput. Geosci. , vol.17 , pp. 1-26
    • Emerick, A.1    Reynolds, A.2
  • 7
    • 84875896316 scopus 로고    scopus 로고
    • Ensemble smoother with multiple data assimilation
    • Available online 17 March
    • Emerick, A. A., Reynolds, A. C.: Ensemble smoother with multiple data assimilation. Comput. Geosci. Available online 17 March (2012).
    • (2012) Comput. Geosci
    • Emerick, A.A.1    Reynolds, A.C.2
  • 8
    • 0004236492 scopus 로고
    • 2nd edn., Baltimore: The Johns Hopkins University Press
    • Golub, G. H., van Loan, C. F.: Matrix computations, 2 edn. The Johns Hopkins University Press, Baltimore (1989).
    • (1989) Matrix Computations
    • Golub, G.H.1    van Loan, C.F.2
  • 9
    • 38349192524 scopus 로고    scopus 로고
    • An iterative ensemble Kalman filter for multiphase fluid flow data assimilation
    • Gu, Y., Oliver, D. S.: An iterative ensemble Kalman filter for multiphase fluid flow data assimilation. SPE J. 12(4), 438-446 (2007).
    • (2007) SPE J. , vol.12 , Issue.4 , pp. 438-446
    • Gu, Y.1    Oliver, D.S.2
  • 10
    • 70350142319 scopus 로고    scopus 로고
    • Iterative ensemble Kalman filters for data assimilation
    • Li, G., Reynolds, A. C.: Iterative ensemble Kalman filters for data assimilation. SPE J. 14(3), 496-505 (2009).
    • (2009) SPE J. , vol.14 , Issue.3 , pp. 496-505
    • Li, G.1    Reynolds, A.C.2
  • 11
    • 0346009301 scopus 로고    scopus 로고
    • History matching of three-phase flow production data
    • Li, R., Reynolds, A. C., Oliver, D. S.: History matching of three-phase flow production data. SPE J. 8(4), 328-340 (2003).
    • (2003) SPE J. , vol.8 , Issue.4 , pp. 328-340
    • Li, R.1    Reynolds, A.C.2    Oliver, D.S.3
  • 12
    • 0037774717 scopus 로고    scopus 로고
    • Evaluation of Monte Carlo methods for assessing uncertainty
    • Liu, N., Oliver, D. S.: Evaluation of Monte Carlo methods for assessing uncertainty. SPE J. 8(2), 188-195 (2003).
    • (2003) SPE J. , vol.8 , Issue.2 , pp. 188-195
    • Liu, N.1    Oliver, D.S.2
  • 15
    • 84870826836 scopus 로고    scopus 로고
    • Extended Brugge benchmark case for history matching and water flooding optimization
    • Peters, E., Chen, Y., Leeuwenburgh, O., Oliver, D. S.: Extended Brugge benchmark case for history matching and water flooding optimization. Comput. Geosci. 50(1), 16-24 (2013).
    • (2013) Comput. Geosci. , vol.50 , Issue.1 , pp. 16-24
    • Peters, E.1    Chen, Y.2    Leeuwenburgh, O.3    Oliver, D.S.4
  • 17
    • 84863331593 scopus 로고    scopus 로고
    • An iterative EnKF for strongly nonlinear systems
    • Sakov, P., Oliver, D. S., Bertino, L.: An iterative EnKF for strongly nonlinear systems. Mon. Weather Rev. 140(6), 1988-2004 (2012).
    • (2012) Mon. Weather Rev. , vol.140 , Issue.6 , pp. 1988-2004
    • Sakov, P.1    Oliver, D.S.2    Bertino, L.3
  • 20
    • 0032664922 scopus 로고    scopus 로고
    • Conditioning geostatistical models to two-phase production data
    • Wu, Z., Reynolds, A. C., Oliver, D. S.: Conditioning geostatistical models to two-phase production data. SPE J. 4(2), 142-155 (1999).
    • (1999) SPE J. , vol.4 , Issue.2 , pp. 142-155
    • Wu, Z.1    Reynolds, A.C.2    Oliver, D.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.