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Volumn 29, Issue 8, 2006, Pages 1107-1122

Data assimilation for transient flow in geologic formations via ensemble Kalman filter

Author keywords

Data assimilation; Ensemble Kalman filter; Hydraulic conductivity; Monte Carlo method; Uncertainty

Indexed keywords

HYDRAULIC CONDUCTIVITY; KALMAN FILTERING; MONTE CARLO METHODS; SENSITIVITY ANALYSIS; TRANSPORT PROPERTIES;

EID: 33746216685     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2005.09.007     Document Type: Article
Times cited : (319)

References (29)
  • 1
    • 0035655814 scopus 로고    scopus 로고
    • An ensemble adjustment Kalman filter for data assimilation
    • Anderson J.L. An ensemble adjustment Kalman filter for data assimilation. Month Weather Rev 129 (2001) 2884-2903
    • (2001) Month Weather Rev , vol.129 , pp. 2884-2903
    • Anderson, J.L.1
  • 2
    • 0033500692 scopus 로고    scopus 로고
    • A Monte Carlo implementation of the nonlinear filter problem to produce ensemble assimilation and forecasts
    • Anderson J.L., and Anderson S.L. A Monte Carlo implementation of the nonlinear filter problem to produce ensemble assimilation and forecasts. Month Weather Rev 127 (1999) 2741-2758
    • (1999) Month Weather Rev , vol.127 , pp. 2741-2758
    • Anderson, J.L.1    Anderson, S.L.2
  • 3
    • 0032439201 scopus 로고    scopus 로고
    • Analysis scheme in the ensemble Kalman filter
    • Burgers G., Leeuwen P., and Evensen G. Analysis scheme in the ensemble Kalman filter. Month Weather Rev 126 (1998) 1719-1724
    • (1998) Month Weather Rev , vol.126 , pp. 1719-1724
    • Burgers, G.1    Leeuwen, P.2    Evensen, G.3
  • 6
    • 0019392350 scopus 로고
    • First-order analysis of uncertainty in numerical models of groundwater: Part 1. Mathematical development
    • Dettinger M.D., and Wilson J.L. First-order analysis of uncertainty in numerical models of groundwater: Part 1. Mathematical development. Water Resour Res 17 1 (1981) 149-161
    • (1981) Water Resour Res , vol.17 , Issue.1 , pp. 149-161
    • Dettinger, M.D.1    Wilson, J.L.2
  • 7
    • 0036976341 scopus 로고    scopus 로고
    • Drecourt JP, Madsen H. Uncertainty estimation in groundwater modeling using Kalman filtering. In: Proceeding of the 4th international conference on calibration and reliability in groundwater modeling, vol. 46(2/3), 2002. p. 306-9.
  • 8
    • 0028193070 scopus 로고
    • Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
    • Evensen G. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J Geophys Res 99 C5 (1994) 10143-10162
    • (1994) J Geophys Res , vol.99 , Issue.C5 , pp. 10143-10162
    • Evensen, G.1
  • 10
    • 84884550570 scopus 로고    scopus 로고
    • The ensemble Kalman filter: theoretical formulation and practical implementation
    • Evensen G. The ensemble Kalman filter: theoretical formulation and practical implementation. Ocean Dynam 53 (2003) 343-367
    • (2003) Ocean Dynam , vol.53 , pp. 343-367
    • Evensen, G.1
  • 12
    • 0024486420 scopus 로고
    • Stochastic analysis of nonstationary subsurface solute transport: 1. Unconditional moments
    • Graham W.D., and McLaughlin D. Stochastic analysis of nonstationary subsurface solute transport: 1. Unconditional moments. Water Resour Res 25 2 (1989) 215-232
    • (1989) Water Resour Res , vol.25 , Issue.2 , pp. 215-232
    • Graham, W.D.1    McLaughlin, D.2
  • 13
    • 0024826840 scopus 로고
    • Stochastic analysis of nonstationary subsurface solute transport: 2. Conditional moments
    • Graham W.D., and McLaughlin D. Stochastic analysis of nonstationary subsurface solute transport: 2. Conditional moments. Water Resour Res 25 11 (1989) 2331-2355
    • (1989) Water Resour Res , vol.25 , Issue.11 , pp. 2331-2355
    • Graham, W.D.1    McLaughlin, D.2
  • 14
    • 22044435658 scopus 로고    scopus 로고
    • Gu Y, Oliver DS. History matching of the PUNQ-S3 reservoir model using the ensemble Kalman filter. SPE 89942, 2004.
  • 15
    • 0021639958 scopus 로고
    • An application of the geostatistical approach to the inverse problem in two-dimensional groundwater modeling
    • Hoeksema R.J., and Kitanidis P.K. An application of the geostatistical approach to the inverse problem in two-dimensional groundwater modeling. Water Resour Res 20 7 (1984) 10003-10020
    • (1984) Water Resour Res , vol.20 , Issue.7 , pp. 10003-10020
    • Hoeksema, R.J.1    Kitanidis, P.K.2
  • 16
    • 0032024819 scopus 로고    scopus 로고
    • Data assimilation using an ensemble Kalman filter technique
    • Houtekamer P.L., and Mitchell H.L. Data assimilation using an ensemble Kalman filter technique. Month Weather Rev 126 (1998) 796-811
    • (1998) Month Weather Rev , vol.126 , pp. 796-811
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 17
    • 33746206115 scopus 로고    scopus 로고
    • McDonald MG, Harbaugh AW. A modular three-dimensional finite-difference ground-water flow model. US Geological Survey Techniques of Water-Resources Investigations, 1988.
  • 18
    • 0036704805 scopus 로고    scopus 로고
    • An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering
    • McLaughlin D. An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering. Adv Water Res 25 (2002) 1275-1286
    • (2002) Adv Water Res , vol.25 , pp. 1275-1286
    • McLaughlin, D.1
  • 19
    • 1642476341 scopus 로고    scopus 로고
    • Naevdal G, Mannseth T, Vefring EH. Near-well reservoir monitoring through ensemble Kalman filter. In: Proceedings of SPE/DOE improved oil recovery symposium. SPE 75235, 2002.
  • 20
    • 33746233134 scopus 로고    scopus 로고
    • Naevdal G, Johnsen LM, Aanonsen SI, Vefring EH. Reservoir monitoring and continuous model updating using ensemble Kalman filter. SPE 84372, 2003.
  • 21
    • 0019227492 scopus 로고
    • A statistical approach to the inverse problem of aquifer hydrology: 3. Improved solution method and added perspective
    • Neuman S.P. A statistical approach to the inverse problem of aquifer hydrology: 3. Improved solution method and added perspective. Water Resour Res 16 2 (1980) 331-346
    • (1980) Water Resour Res , vol.16 , Issue.2 , pp. 331-346
    • Neuman, S.P.1
  • 22
    • 0036322061 scopus 로고    scopus 로고
    • Hydrologic data assimilation with the ensemble Kalman filter
    • Reichle R.H., McLaughlin D., and Entekhabi D. Hydrologic data assimilation with the ensemble Kalman filter. Month Weather Rev 130 (2002) 103-130
    • (2002) Month Weather Rev , vol.130 , pp. 103-130
    • Reichle, R.H.1    McLaughlin, D.2    Entekhabi, D.3
  • 23
    • 0021641565 scopus 로고
    • Adaptive pumping test analysis
    • Sen Z. Adaptive pumping test analysis. J Hydrol 74 (1984) 259-270
    • (1984) J Hydrol , vol.74 , pp. 259-270
    • Sen, Z.1
  • 24
    • 0027088065 scopus 로고
    • A stochastic inverse solution for transient groundwater flow: parameter identification and reliability
    • Sun N.-Z., and Yeh W.G. A stochastic inverse solution for transient groundwater flow: parameter identification and reliability. Water Resour Res 28 12 (1992) 3269-3280
    • (1992) Water Resour Res , vol.28 , Issue.12 , pp. 3269-3280
    • Sun, N.-Z.1    Yeh, W.G.2
  • 25
    • 0035359956 scopus 로고    scopus 로고
    • Nonlinearity in data assimilation applications: a practical method for analysis
    • Verlaan M., and Heemink A.W. Nonlinearity in data assimilation applications: a practical method for analysis. Month Weather Rev 129 (2001) 1578-1589
    • (2001) Month Weather Rev , vol.129 , pp. 1578-1589
    • Verlaan, M.1    Heemink, A.W.2
  • 26
    • 0036646009 scopus 로고    scopus 로고
    • Ensemble assimilation without perturbed observation
    • Whitaker J.S., and Hamill T.M. Ensemble assimilation without perturbed observation. Month Weather Rev 130 (2002) 1913-1924
    • (2002) Month Weather Rev , vol.130 , pp. 1913-1924
    • Whitaker, J.S.1    Hamill, T.M.2
  • 29
    • 1442307688 scopus 로고    scopus 로고
    • An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loeve and polynomial expansions
    • Zhang D., and Lu Z. An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loeve and polynomial expansions. J Comput Phys 194 (2004) 773-794
    • (2004) J Comput Phys , vol.194 , pp. 773-794
    • Zhang, D.1    Lu, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.