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Volumn 26, Issue 3, 2012, Pages 467-478

Assimilating transient groundwater flow data via a localized ensemble Kalman filter to calibrate a heterogeneous conductivity field

Author keywords

Covariance inflation, transient groundwater flow; Data assimilation; Filter divergence; Hydraulic conductivity; Localized EnKF

Indexed keywords

CORRELATION LENGTHS; DATA ASSIMILATION; DATA ASSIMILATION METHODS; ENSEMBLE KALMAN FILTER; FILTER DIVERGENCE; LOCALIZED ENKF; MEASUREMENT DATA; TRANSIENT FLOW; TRANSIENT GROUNDWATER FLOW; TRANSIENT HYDRAULICS;

EID: 84856434615     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-011-0534-0     Document Type: Article
Times cited : (23)

References (36)
  • 2
    • 0035655814 scopus 로고    scopus 로고
    • An ensemble adjustment Kalman filter for data assimilation
    • Anderson JL (2001) An ensemble adjustment Kalman filter for data assimilation. Mon Weather Rev 129: 2884-2903.
    • (2001) Mon Weather Rev , vol.129 , pp. 2884-2903
    • Anderson, J.L.1
  • 3
    • 34247642674 scopus 로고    scopus 로고
    • An adaptive covariance inflation error correction algorithm for ensemble filters
    • Anderson JL (2007) An adaptive covariance inflation error correction algorithm for ensemble filters. Tellus 59(2): 210-224.
    • (2007) Tellus , vol.59 , Issue.2 , pp. 210-224
    • Anderson, J.L.1
  • 4
    • 0033500692 scopus 로고    scopus 로고
    • A Monte-Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts
    • Anderson JL, Anderson SL (1999) A Monte-Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts. Mon Weather Rev 127(12): 2741-2758.
    • (1999) Mon Weather Rev , vol.127 , Issue.12 , pp. 2741-2758
    • Anderson, J.L.1    Anderson, S.L.2
  • 6
    • 77953226947 scopus 로고    scopus 로고
    • Vertical covariance localization for satellite radiances in ensemble Kalman filters
    • Campbell WF, Bishop CH, Hodyss D (2010) Vertical covariance localization for satellite radiances in ensemble Kalman filters. Mon Weather Rev 138: 282-290.
    • (2010) Mon Weather Rev , vol.138 , pp. 282-290
    • Campbell, W.F.1    Bishop, C.H.2    Hodyss, D.3
  • 7
    • 84856440170 scopus 로고    scopus 로고
    • Data assimilation of coupled fluid flow and geomechanics via ensemble Kalman filter
    • Chang HB, Chen Y, Zhang DX (2010) Data assimilation of coupled fluid flow and geomechanics via ensemble Kalman filter. SPE 118963 115: D19205.
    • (2010) SPE 118963 , vol.115
    • Chang, H.B.1    Chen, Y.2    Zhang, D.X.3
  • 8
    • 70450174077 scopus 로고    scopus 로고
    • Application of ensemble-based closed-loop optimization on Brugge field, SPE-118926
    • 2-4 February 2009, the Woodlands, Texas
    • Chen Y, Oliver DS (2009) Application of ensemble-based closed-loop optimization on Brugge field, SPE-118926. In: Proceedings of the SPE Reservoir Simulation Symposium. The Woodlands, Texas, 2-4 February 2009.
    • (2009) Proceedings of the SPE Reservoir Simulation Symposium
    • Chen, Y.1    Oliver, D.S.2
  • 9
    • 33746216685 scopus 로고    scopus 로고
    • Data assimilation for transient flow in geologic formations via Ensemble Kalman Filter
    • Chen Y, Zhang D (2006) Data assimilation for transient flow in geologic formations via Ensemble Kalman Filter. Adv Water Resour 29: 1107-1122.
    • (2006) Adv Water Resour , vol.29 , pp. 1107-1122
    • Chen, Y.1    Zhang, D.2
  • 10
    • 23644442417 scopus 로고    scopus 로고
    • Methodological developments in geophysical assimilation modeling
    • Christakos G (2005) Methodological developments in geophysical assimilation modeling. Rev Geophys 43: 1-10.
    • (2005) Rev Geophys , vol.43 , pp. 1-10
    • Christakos, G.1
  • 12
    • 0001482955 scopus 로고    scopus 로고
    • An introduction to estimation theory
    • Cohn SE (1997) An introduction to estimation theory. J Meteor Soc Japan 75(1B): 257-228.
    • (1997) J Meteor Soc Japan , vol.75 , Issue.1 B , pp. 228-257
    • Cohn, S.E.1
  • 14
    • 34249027618 scopus 로고    scopus 로고
    • Efficient and robust reservoir model updating using ensemble Kalman filter with sensitivity-based covariance localization, SPE-106144
    • SPE, Houston
    • Devegowda D, Arroyo-Negrete E, Datta-Gupta A, Douma SG (2007) Efficient and robust reservoir model updating using ensemble Kalman filter with sensitivity-based covariance localization, SPE-106144. In: SPE Reservoir Simulation Symposium. SPE, Houston.
    • (2007) SPE Reservoir Simulation Symposium
    • Devegowda, D.1    Arroyo-Negrete, E.2    Datta-Gupta, A.3    Douma, S.G.4
  • 15
    • 74249094921 scopus 로고    scopus 로고
    • Flow relevant covariance localization during dynamic data assimilation using EnKF
    • Devegowda D, Arroyo-Negrete E, Datta-Gupta A (2010) Flow relevant covariance localization during dynamic data assimilation using EnKF. Adv Water Resour 33: 129-145.
    • (2010) Adv Water Resour , vol.33 , pp. 129-145
    • Devegowda, D.1    Arroyo-Negrete, E.2    Datta-Gupta, A.3
  • 16
    • 0028193070 scopus 로고
    • Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
    • Evensen G (1994) Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J Geophys Res 99(C5): 10. 143-10. 162.
    • (1994) J Geophys Res , vol.99 , Issue.C5
    • Evensen, G.1
  • 17
    • 66849101595 scopus 로고    scopus 로고
    • The ensemble Kalman filter for combined state and parameter estimation
    • Evensen G (2009) The ensemble Kalman filter for combined state and parameter estimation. IEEE Control Syst Mag 29: 83-104.
    • (2009) IEEE Control Syst Mag , vol.29 , pp. 83-104
    • Evensen, G.1
  • 18
    • 58849099486 scopus 로고    scopus 로고
    • Ensemble Kalman filtering versus sequential self-calibration for inverse modeling of dynamic groundwater flow systems
    • doi: 10. 1016/j. jhydrol. 2008. 11. 033
    • Franssen HJH, Kinzelbach W (2008) Ensemble Kalman filtering versus sequential self-calibration for inverse modeling of dynamic groundwater flow systems. J Hydrol. doi: 10. 1016/j. jhydrol. 2008. 11. 033.
    • (2008) J Hydrol
    • Franssen, H.J.H.1    Kinzelbach, W.2
  • 19
    • 33750502680 scopus 로고    scopus 로고
    • Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter variants
    • Furrer R, Bengtsson T (2007) Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter variants. J Multivar Anal 98: 227-255.
    • (2007) J Multivar Anal , vol.98 , pp. 227-255
    • Furrer, R.1    Bengtsson, T.2
  • 21
    • 0033792589 scopus 로고    scopus 로고
    • A hybrid ensemble Kalman filter-3D variational analysis scheme
    • Hamill TM, Synder C (2000) A hybrid ensemble Kalman filter-3D variational analysis scheme. Mon Weather Rev 128: 2905-2919.
    • (2000) Mon Weather Rev , vol.128 , pp. 2905-2919
    • Hamill, T.M.1    Synder, C.2
  • 22
    • 0035506430 scopus 로고    scopus 로고
    • Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
    • Hamill TM, Whitaker JS, Snyder C (2001) Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter. Mon Weather Rev 129: 2776-2790.
    • (2001) Mon Weather Rev , vol.129 , pp. 2776-2790
    • Hamill, T.M.1    Whitaker, J.S.2    Snyder, C.3
  • 23
    • 0035129828 scopus 로고    scopus 로고
    • A sequential ensemble Kalman filter for atmospheric data assimilation
    • Houtekamer PL, Mitchell HL (2001) A sequential ensemble Kalman filter for atmospheric data assimilation. Mon Weather Rev 129: 123-137.
    • (2001) Mon Weather Rev , vol.129 , pp. 123-137
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 24
    • 71149113996 scopus 로고    scopus 로고
    • Using data assimilation method to calibrate a heterogeneous conductivity field and improve solute transport prediction with an unknown contamination source
    • Huang C, Bill XH, Li X, Ye M (2009) Using data assimilation method to calibrate a heterogeneous conductivity field and improve solute transport prediction with an unknown contamination source. Stoch Environ Res Risk Assess 23: 1155-1167.
    • (2009) Stoch Environ Res Risk Assess , vol.23 , pp. 1155-1167
    • Huang, C.1    Bill, X.H.2    Li, X.3    Ye, M.4
  • 26
    • 70149088574 scopus 로고    scopus 로고
    • Covariance localization and balance in an ensemble Kalman Filter
    • Kepert JD (2009) Covariance localization and balance in an ensemble Kalman Filter. Quart J Royal Meteorol Soc 135: 1157-1176.
    • (2009) Quart J Royal Meteorol Soc , vol.135 , pp. 1157-1176
    • Kepert, J.D.1
  • 27
    • 0022842584 scopus 로고
    • Variational algorithms for analysis and assimilation of meteorological observations-theoretical aspects
    • LeDimet FX, Talagrand O (1986) Variational algorithms for analysis and assimilation of meteorological observations-theoretical aspects. Tellus Series A 38(2): 97-110.
    • (1986) Tellus Series A , vol.38 , Issue.2 , pp. 97-110
    • Ledimet, F.X.1    Talagrand, O.2
  • 28
    • 0027073664 scopus 로고
    • Variational data assimilation with an adiabatic version of the NMC spectral model
    • Navon IM, Zou X, Derber J, Sela J (1992) Variational data assimilation with an adiabatic version of the NMC spectral model. Mon Weather Rev 120(7): 1433-1446.
    • (1992) Mon Weather Rev , vol.120 , Issue.7 , pp. 1433-1446
    • Navon, I.M.1    Zou, X.2    Derber, J.3    Sela, J.4
  • 30
    • 0027040023 scopus 로고
    • The national-meteorological-centers spectral statistical-interpolation analysis system
    • Parrish DF, Derber JC (1992) The national-meteorological-centers spectral statistical-interpolation analysis system. Mon Weather Rev 120(8): 1747-1763.
    • (1992) Mon Weather Rev , vol.120 , Issue.8 , pp. 1747-1763
    • Parrish, D.F.1    Derber, J.C.2
  • 31
    • 0032432968 scopus 로고    scopus 로고
    • Extended assimilation and forecast experiments with a four-dimensional variational assimilation system
    • Rabier F, Thepaut JN, Courtier P (1998) Extended assimilation and forecast experiments with a four-dimensional variational assimilation system. Quart J Royal Meteorol Soc 124(550): 1861-1887.
    • (1998) Quart J Royal Meteorol Soc , vol.124 , Issue.550 , pp. 1861-1887
    • Rabier, F.1    Thepaut, J.N.2    Courtier, P.3
  • 33
    • 35448930680 scopus 로고    scopus 로고
    • Incorporating 4D seismic data in reservoir simulation model using ensemble Kalman filter
    • Skjervheim JA, Evensen G, Aanonsen SI, Ruud BO, Johansen TA (2007) Incorporating 4D seismic data in reservoir simulation model using ensemble Kalman filter. SPE J 12(3): 282-292.
    • (2007) SPE J , vol.12 , Issue.3 , pp. 282-292
    • Skjervheim, J.A.1    Evensen, G.2    Aanonsen, S.I.3    Ruud, B.O.4    Johansen, T.A.5
  • 34
    • 78649346160 scopus 로고    scopus 로고
    • Using data assimilation method to calibrate a heterogeneous conductivity filed conditioning on a transient flow test data
    • doi: 10. 1007/s00477-010-0392-1
    • Tong JX, Hu BX, Yang JZ (2010) Using data assimilation method to calibrate a heterogeneous conductivity filed conditioning on a transient flow test data. Stoch Environ Res Risk Assess. doi: 10. 1007/s00477-010-0392-1.
    • (2010) Stoch Environ Res Risk Assess
    • Tong, J.X.1    Hu, B.X.2    Yang, J.Z.3
  • 35
    • 0022823154 scopus 로고
    • Review of parameter identification procedures in groundwater hydrology: the inverse problem
    • Yeh W-G (1986) Review of parameter identification procedures in groundwater hydrology: the inverse problem. Water Resour Res 22(2): 95-108.
    • (1986) Water Resour Res , vol.22 , Issue.2 , pp. 95-108
    • Yeh, W.-G.1


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