Initial Sampling of Ensemble for Steam-Assisted-Gravity-Drainage-Reservoir History Matching

[1]  C. Deutsch,et al.  Ranking Geostatistical Reservoir Models with Modified Connected Hydrocarbon Volume , 2012 .

[2]  K. Aziz,et al.  Petroleum Reservoir Simulation , 1979 .

[3]  Henning Omre,et al.  Resampling the ensemble Kalman filter , 2013, Comput. Geosci..

[4]  D. Oliver,et al.  Cross-covariances and localization for EnKF in multiphase flow data assimilation , 2010 .

[5]  K. B. Hird,et al.  Quantification of reservoir connectivity for reservoir description applications , 1998 .

[6]  Kung Yao,et al.  Improved importance sampling technique for efficient simulation of digital communication systems , 1988, IEEE J. Sel. Areas Commun..

[7]  Jef Caers,et al.  Representing Spatial Uncertainty Using Distances and Kernels , 2009 .

[8]  A. Galli,et al.  Scenario Reduction Applied to Geostatistical Simulations , 2013, Mathematical Geosciences.

[9]  C. Deutsch Reservoir modeling with publicly available software , 1999 .

[10]  D. Oliver,et al.  Recent progress on reservoir history matching: a review , 2011 .

[11]  Robert E. Bixby,et al.  A Brief History of Linear and Mixed-Integer Programming Computation , 2012 .

[12]  Jens Ledet Jensen,et al.  Fast screening of geostatistical realizations for SAGD reservoir simulation , 2014 .

[13]  Rolf Johan Lorentzen,et al.  Underbalanced and Low-head Drilling Operations: Real Time Interpretation of Measured Data and Operational Support , 2001 .

[14]  Zukui Li,et al.  Optimal scenario reduction framework based on distance of uncertainty distribution and output performance: I. Single reduction via mixed integer linear optimization , 2014, Comput. Chem. Eng..

[15]  G. Evensen,et al.  Analysis Scheme in the Ensemble Kalman Filter , 1998 .

[16]  Akhil Datta-Gupta,et al.  Efficient and Robust Reservoir Model Updating Using Ensemble Kalman Filter With Sensitivity-Based Covariance Localization , 2007 .

[17]  G. Evensen Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .

[18]  Jeffrey L. Anderson A Non-Gaussian Ensemble Filter Update for Data Assimilation , 2010 .

[19]  David K. Larue,et al.  Static characterizations of reservoirs: refining the concepts of connectivity and continuity , 2007, Petroleum Geoscience.

[20]  Dean S. Oliver,et al.  The Ensemble Kalman Filter for Continuous Updating of Reservoir Simulation Models , 2006 .

[21]  Alireza Nouri,et al.  Criteria for Ranking Realizations in the Investigation of SAGD Reservoir Performance , 2009 .

[22]  G. Evensen The ensemble Kalman filter for combined state and parameter estimation , 2009, IEEE Control Systems.

[23]  Sirish L. Shah,et al.  Application of the Ensemble Kalman Filter for Characterization and History Matching of Unconventional Oil Reservoirs , 2010 .

[24]  K. Aziz,et al.  Prediction Of Uncertainty In Reservoir Performance Forecast , 1992 .

[25]  J. R. Gilman,et al.  Statistical Ranking of Stochastic Geomodels Using Streamline Simulation: A Field Application , 2002 .

[26]  Zukui Li,et al.  Reservoir Geological Uncertainty Reduction: an Optimization-Based Method Using Multiple Static Measures , 2015, Mathematical Geosciences.

[27]  Dean S. Oliver,et al.  Improved initial sampling for the ensemble Kalman filter , 2008 .