215 A.1 Case study description, p.216 ,
The Ensemble Kalman Filter in Reservoir Engineering--a Review, SPE Journal, vol.14, issue.03, pp.393-412, 2009. ,
DOI : 10.2118/117274-PA
Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter, Physica D: Nonlinear Phenomena, vol.230, issue.1-2, pp.1-2, 2007. ,
DOI : 10.1016/j.physd.2006.02.011
Continuous Reservoir Model Updating Using Streamline Assisted Ensemble Kalman Filter, SPE Annual Technical Conference and Exhibition, pp.24-27, 2006. ,
DOI : 10.2118/106518-STU
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Transactions on Signal Processing, vol.50, issue.2, p.50, 2002. ,
DOI : 10.1109/78.978374
Sequential Data Assimilation Techniques in Oceanography, International Statistical Review, vol.12, issue.4, pp.223-241, 2003. ,
DOI : 10.1111/j.1751-5823.2003.tb00194.x
History Matching and Production Forecast Uncertainty by Means of the Ensemble Kalman Filter: A Real Field Application, EUROPEC/EAGE Conference and Exhibition, pp.11-14, 2007. ,
DOI : 10.2118/107161-MS
Flow-adaptive moderation of spurious ensemble correlations and its use in ensemble-based data assimilation, Quarterly Journal of the Royal Meteorological Society, vol.130, issue.C5, pp.133-2029, 2007. ,
DOI : 10.1002/qj.169
Combining geostatistical modeling with gradient information for history matching: The pilot point method, p.38730, 1997. ,
Analysis Scheme in the Ensemble Kalman Filter, Monthly Weather Review, vol.126, issue.6, pp.1719-1724, 1998. ,
DOI : 10.1175/1520-0493(1998)126<1719:ASITEK>2.0.CO;2
History Matching Under Training-Image-Based Geological Model Constraints, SPE Journal, issue.8, pp.218-226, 2003. ,
DOI : 10.2118/74716-pa
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.7533
History-Matching by use of optimal control theory, SPE ATCE, vol.4627, 1973. ,
Efficient Ensemble-Based Closed Loop Production Optimization. Paper SPE 112873 presented at the, Improved Recovery Symposium, pp.19-23, 2008. ,
Data assimilation for nonlinear problems by ensemble Kalman filter with reparameterization, Journal of Petroleum Science and Engineering, vol.66, issue.1-2, pp.66-67, 2009. ,
DOI : 10.1016/j.petrol.2008.12.002
Geostatistics ? Modeling Spatial Uncertainty, Wiley series in probability and statistics, 1999. ,
Use of Ensemble Kalman Filter for 3-Dimensional Reservoir Characterization during Water flooding, Paper SPE 100178, presented at the 2006 68 th EAGE Conference and Exhibition, pp.12-15, 2006. ,
An introduction to estimation theory, Journal of the Meteorological Society of Japan, issue.75, pp.257-288, 1997. ,
Optima choice of inversion parameters for history matching with pilot point method, 1998. ,
Interpretation of Interference Tests in a Well Field Using Geostatistical Techniques to Fit the Permeability Distribution in a Reservoir Model, Geostatistics for Natural Resources Characterization, Part 2. Dordrecht: Reidel, pp.831-849, 1994. ,
DOI : 10.1007/978-94-009-3701-7_16
Efficient and Robust Reservoir Model Updating Using Ensemble Kalman Filter with Sensitivity-Based Covariance Localization, Paper SPE 106144, presented at the 2007 Reservoir Simulation Symposium, pp.26-28, 2007. ,
Sequential Monte Carlo methods in Practice, Statistics for Engineering and Information Science, 2001. ,
DOI : 10.1007/978-1-4757-3437-9
Ensemble Kalman Filter for Gaussian Mixture Models, EAGE Conference on Petroleum Geostatistics, pp.10-14, 2007. ,
DOI : 10.3997/2214-4609.201403054
Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, Journal of Geophysical Research, vol.109, issue.Part 4, pp.143-153, 1994. ,
DOI : 10.1029/94JC00572
Horizontal and Vertical Structure of the Representer Functions for Sea Structure Measurements in a Coastal Circulation Model, pp.30-2627, 1996. ,
The Ensemble Kalman Filter: theoretical formulation and practical implementation, Ocean Dynamics, vol.53, issue.4, pp.343-367, 2003. ,
DOI : 10.1007/s10236-003-0036-9
Data Assimilation: The Ensemble Kalman Filter, 2007. ,
DOI : 10.1007/978-3-642-03711-5
Methods for quantifying the uncertainty of production forecasts: a comparison study, Petroleum Geoscience, pp.87-96, 2001. ,
Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter variants, Journal of Multivariate Analysis, vol.98, issue.2, pp.227-255, 2007. ,
DOI : 10.1016/j.jmva.2006.08.003
The Pros and Cons of the Truncated Gaussian Method, Geostatistical Simulations, pp.217-233, 1993. ,
Quantifying the uncertainty for the PUNQ-S3 problem in a Bayesian setting with the RML and EnKF, SPE reservoir simulation symposium, 2005. ,
Construction of correlation functions in two and three dimensions, Quarterly Journal of the Royal Meteorological Society, vol.4, issue.2, pp.125-723, 1999. ,
DOI : 10.1002/qj.49712555417
Applied Optimal Estimation, 1974. ,
History Matching of the PUNQ-S3 Reservoir Model Using the Ensemble Kalman Filter, Journal of Petroleum Science and Engineering, pp.147-147, 2005. ,
The Ensemble Kalman Filter for Continuous Updating of Reservoir Simulation Models, Journal of Energy Resources Technology, vol.128, issue.1, pp.79-87, 2006. ,
DOI : 10.1115/1.2134735
An Iterative Ensemble Kalman Filter for Multiphase Fluid Flow Data Assimilation, SPE Journal, vol.12, issue.04, pp.438-446, 2007. ,
DOI : 10.2118/108438-PA
Improved Vertical Covariance Estimates for Ensemble-Filter Assimilation of Near-Surface Observations, Monthly Weather Review, vol.135, issue.3, pp.1021-1036, 2007. ,
DOI : 10.1175/MWR3333.1
Distance-Dependent Filtering of Background Error Covariance Estimates in an Ensemble Kalman Filter, Monthly Weather Review, vol.129, issue.11, pp.2776-2790, 2001. ,
DOI : 10.1175/1520-0493(2001)129<2776:DDFOBE>2.0.CO;2
Assimilation of SLA and SST data into an OGCM for the Indian Ocean, Ocean Dynamics, vol.52, issue.3, pp.52-133, 2002. ,
DOI : 10.1007/s10236-002-0014-7
History Matching of Reservoir Models by the Ensemble Kalman Filtering (EnKF): Review of the State of the Art and a Sensitivity Study, 2009. ,
Data Assimilation Using an Ensemble Kalman Filter Technique, Monthly Weather Review, vol.126, issue.3, pp.796-811, 1998. ,
DOI : 10.1175/1520-0493(1998)126<0796:DAUAEK>2.0.CO;2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.1706
A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation, Monthly Weather Review, vol.129, issue.1, pp.123-137, 2001. ,
DOI : 10.1175/1520-0493(2001)129<0123:ASEKFF>2.0.CO;2
Gradual deformation and iterative calibration of Gaussian-related stochastic models, Mathematical Geology, vol.32, issue.1, pp.87-108, 2000. ,
DOI : 10.1023/A:1007506918588
Gradual Deformation and Iterative Calibration of Sequantial Stochastic Simulations, Mathematical Geology, vol.33, issue.4, pp.475-489, 2001. ,
DOI : 10.1023/A:1011088913233
History Matching of Object-Based Stochastic Reservoir Models, Middle East Oil Show, pp.9-12, 2003. ,
Upscaling of permeability of anisotropic heterogeneous formations: 1. The general framework, Water Resources Research, vol.29, issue.4, pp.917-923, 1993. ,
DOI : 10.1029/92WR02446
History Matching with an Ensemble Kalman Filter and Discrete Cosine Parameterization, SPE Annual Technical Conference and Exhibition, 2007. ,
DOI : 10.2118/108761-MS
Stochastic Processes and Filtering Theory, 1970. ,
A New Approach to Linear Filtering and Prediction Problems, Journal of Basic Engineering, vol.82, issue.1, pp.35-45, 1960. ,
DOI : 10.1115/1.3662552
History Matching Geostatistical Reservoir Models with Gradual Deformation Method, SPE Annual Technical Conference and Exhibition, pp.1-4, 2000. ,
DOI : 10.2118/62922-MS
Truncated pluriGaussian method: Theoretical and practical points of view, Geostatistics Wollogong'96, pp.211-222, 1997. ,
The FFT moving average (FFT-MA) generator: an efficient numerical method for generating and conditioning Gaussian simulation, Mathematical Geology, issue.6, pp.32-701, 2000. ,
Conditioning to dynamic data: an improved zonation approach, Petroleum Geosciences, pp.9-16, 2001. ,
Inverse Stochastic Modeling of Flow in Porous Media, 2005. ,
Combining the Pilot Point and the Gradual Deformation Methods for Calibrating Permeability Models to Dynamic Data, Oil and Gas Science and Technology, Rev. IFP Energies nouvells, pp.62-169, 2007. ,
Application of a coupled adjoint sensitivity and kriging approach to calibrate a groundwater flow model, Water Resources Research, issue.6, pp.28-1543, 1992. ,
Pilot point methodology for automated calibration of an ensemble of conditionally simulated transmissivity fields, 2. Application, Water Resources Research, issue.3, pp.31495-516, 1995. ,
An Iterative Ensemble Kalman Filter for Data Assimilation, Paper SPE 109808 presented at the 2007 Annual Technical Conference Exhibition, California, pp.11-14, 2007. ,
DOI : 10.2118/109808-ms
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.6730
A Singular Evolutive Interpolated Kalman Filter for Rapid Uncertainty Quantification, Paper SPE 106170, presented at the, Reservoir Simulation Symposium, pp.26-28, 2007. ,
Critical Evaluation of the Ensemble Kalman Filter on History Matching of Geologic Facies, Journal of Petroleum Science and Engineering, issue.6, pp.47-470, 2005. ,
Analysis methods for numerical weather prediction, Quarterly Journal of the Royal Meteorological Society, vol.108, issue.474, pp.1177-1194, 1986. ,
DOI : 10.1002/qj.49711247414
The potential of the ensemble Kalman filter for NWP???a comparison with 4D-Var, Quarterly Journal of the Royal Meteorological Society, vol.130, issue.595, pp.129-3183, 2003. ,
DOI : 10.1256/qj.02.132
Underbalanced and Low-head Drilling Operations: Real Time Interpretation of Measured Data and Operational Support, SPE Annual Technical Conference and Exhibition, 2001. ,
DOI : 10.2118/71384-MS
Tuning of parameters in a two-phase flow model using an ensemble Kalman filter, International Journal of Multiphase Flow, vol.29, issue.8, pp.29-1283, 2003. ,
DOI : 10.1016/S0301-9322(03)00088-0
Analysis of the Ensemble Kalman Filter for Estimation of Permeability and Porosity in Reservoir Models, SPE Annual Technical Conference and Exhibition, 2005. ,
DOI : 10.2118/96375-MS
Land data assimilation and estimation of soil moisture using measurements from the Southern Great Plains 1997 Field Experiment, Water Resources Research, vol.22, issue.8, pp.38-50, 2002. ,
DOI : 10.1029/2001WR001114
A Reassessment of the Groundwater Inverse Problem, Water Resources Research, vol.3, issue.3, pp.1131-1161, 1996. ,
DOI : 10.1029/96WR00160
Stochastic Facies Modeling Using the Level Set Method, In Petroleum Geostatistics, pp.10-14, 2007. ,
Near-well reservoir monitoring through Ensemble Kalman filter, SPE/DOE Improved Oil Recovery Symposium, 2002. ,
Conditioning Permeability Fileds to Pressure Data , European Conference for Mathematics of Oil Recovery 77, 1996. ,
Pilot Point Methodology for Automated Calibration of an Ensemble of conditionally Simulated Transmissivity Fields: 1. Theory and Computational Experiments, Water Resources Research, vol.22, issue.2, pp.31-475, 1995. ,
DOI : 10.1029/94WR02258
Iterative Forms of the Ensemble Kalman Filter, ECMOR X, 10th European Conference on the Mathematics of Oil Recovery, pp.4-7, 2006. ,
DOI : 10.3997/2214-4609.201402496
Matching of Production History and 4D Seismic Data ? Application to the Girassol Field, Offshore Angola, pp.11-14, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00735121
A stochastic approach to the problem of upscaling of conductivity in disordered media: Theory and unconditional numerical simulations, Water Resources Research, vol.26, issue.19, pp.691-701, 1990. ,
DOI : 10.1029/WR026i004p00691
Advanced Reservoir Management Workflow Using an EnKF Based Assisted History Matching Method, SPE 118906. This paper was prepared for presentation at the 2009 SPE Reservoir Simulation Symposium held in The Woodlands, pp.2-4, 2009. ,
DOI : 10.2118/118906-ms
Inverse problems in groundwater modeling, 1994. ,
DOI : 10.1007/978-94-017-1970-4
Inverse problem theory ? Methods for data fitting and model parameter estimation, 1987. ,
Quantifying Monte Carlo Uncertainty in the Ensemble Kalman Filter, 11th European Conference on the Mathematics of Oil Recovery, pp.8-11, 2008. ,
DOI : 10.3997/2214-4609.20146415
Production optimization in Closed Loop Reservoir Management, Paper SPE 109805, presented at the 2007 Annual Technical Conference and Exhibition, California, pp.11-14, 2007. ,
Some Practical Issues on Real Time Reservoir Model Updating Using Ensemble Kalman Filter, 2005. ,
The Ocean Circulation Inverse Problem, 1996. ,
DOI : 10.1017/CBO9780511629570
Structure Preserving Inversion: An Efficient Approach to Conditioning Stochastic Reservoir Models to Dynamic Data, SPE Annual Technical Conference and Exhibition, 1997. ,
DOI : 10.2118/38727-MS
Assessing the Uncertainty in Reservoir Description and Performance Prediction with the Ensemble Kalman Filter, Paper SPE 95750, presented at the 2005 Annual Technical Conference and Exhibition, Texas, pp.9-12, 2005. ,
Constraining Reservoir Facies Models to Dynamic Data - Impact of Spatial Distribution Uncertainty on Production Forecasts, SPE Annual Technical Conference and Exhibition, 2001. ,
DOI : 10.2118/71335-MS