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1
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0028608532
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Improved rxo measurements through semi-active focusing, SPE-28437
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Eisenmann, P., Gounot, M.-T., Juchereau, B., and Whittaker, S. J., 1994, "Improved Rxo Measurements Through Semi-Active Focusing, SPE-28437," in Proceedings of the SPE 69th Annual Technical Conference and Exhibition.
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Eisenmann, P.1
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Juchereau, B.3
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2
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Field test results for a real-time intelligent drilling monitor, SPE-59227
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Corser, G. P., Harmse, J. E., Corser, B. A., Weiss, M. W., and Whitflow, G. L., 2000, "Field Test Results for a Real-Time Intelligent Drilling Monitor, SPE-59227," in Proceedings of the 2000 IADC/SPE Drilling Conference.
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Proceedings of the 2000 IADC/SPE Drilling Conference
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Corser, G.P.1
Harmse, J.E.2
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0028193070
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Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
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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), pp. 10143-0162.
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Data assimilation using an ensemble Kalman filter technique
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A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts
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0001727173
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Ensemble forecasting in the short to medium range: Report from a workshop
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Hamill, T. M., Snyder, C., Baumhefner, D. P., Toth, Z., and Mullen, S. L., 2000, "Ensemble Forecasting in the Short to Medium Range: Report From a Workshop," Bull. Am. Meteorol. Soc. (to be published).
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Hamill, T.M.1
Snyder, C.2
Baumhefner, D.P.3
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0035129828
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A sequential ensemble Kalman filter for atmospheric data assimilation
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The ensemble Kalman filter: Theoretical formulaton and practical implementation
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Evensen, G., 2003, "The Ensemble Kalman Filter: Theoretical Formulaton and Practical Implementation," Ocean Dyn., 53(4), pp. 343-367.
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Evensen, G.1
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0036322061
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Hydrologic data assimilation with the ensemble Kalman filter
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Reichle, R. H., McLaughlin, D. B., and Entekhabi, D., 2002, "Hydrologic Data Assimilation With the Ensemble Kalman Filter," Mon. Weather Rev., 130(1), pp. 103-114.
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McLaughlin, D.B.2
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10
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1642476341
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Near-well reservoir monitoring through ensemble Kalman filter: SPE-75235
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Nævdal, G., Mannseth, T., and Vefring, E. H., 2002, "Near-Well Reservoir Monitoring Through Ensemble Kalman Filter: SPE-75235," in Proceedings of SPE/DOE Improved Oil Recovery Symposium.
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Nævdal, G.1
Mannseth, T.2
Vefring, E.H.3
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11
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1142264447
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Reservoir monitoring and continuous model updating using ensemble Kalman filter
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Nævdal, G., Johnsen, L. M., Aanonsen, S. I., and Vefring, E. H., 2003, "Reservoir Monitoring and Continuous Model Updating Using Ensemble Kalman Filter," SPE 84372.
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Nævdal, G.1
Johnsen, L.M.2
Aanonsen, S.I.3
Vefring, E.H.4
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12
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History matching of the PUNQ-S3 reservoir model using the ensemble Kalman filter
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Gu, Y., and Oliver, D. S., 2005, "History Matching of the PUNQ-S3 Reservoir Model Using the Ensemble Kalman Filter," SPE J., 10(2), pp. 217-224.
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Gu, Y.1
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Critical evaluation of the ensemble Kalman filter on history matching of geologic facies, SPE 92867
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Liu, N., and Oliver, D. S., 2005, "Critical Evaluation of the Ensemble Kalman Filter on History Matching of Geologic Facies, SPE 92867," in 2005 SPE Reservoir Simulation Symposium.
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Liu, N.1
Oliver, D.S.2
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14
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22244466150
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Quantifying uncertainty for the PUNQ-S3 problem in a Bayesian setting with RML and enkf, SPE 93324
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Gao, G., Zafari, M., and Reynolds, A. C., 2005, "Quantifying Uncertainty for the PUNQ-S3 Problem in a Bayesian Setting With RML and Enkf, SPE 93324," in 2005 SPE Reservoir Simulation Symposium.
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Gao, G.1
Zafari, M.2
Reynolds, A.C.3
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22244474935
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Real-time reservoir model updating using ensemble Kalman filter, SPE-92991
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18
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0028481947
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Incorporation of transient pressure data into reservoir characterization
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