Efficient Integration of Production and Seismic Data into Reservoir Models Exhibiting Complex Connectivity Using an Iterative Ensemble Smoother

[1]  Mary F. Wheeler,et al.  Rapid updating of stochastic models by use of an ensemble-filter approach , 2014 .

[2]  Alexandre A. Emerick,et al.  Estimation of pressure and saturation fields from time-lapse impedance data using the ensemble smoother , 2014 .

[3]  Mary F. Wheeler,et al.  Nested sampling algorithm for subsurface flow model selection, uncertainty quantification, and nonlinear calibration , 2013 .

[4]  Albert C. Reynolds,et al.  Ensemble smoother with multiple data assimilation , 2013, Comput. Geosci..

[5]  A. Reynolds,et al.  History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations , 2012, Computational Geosciences.

[6]  Liangping Li,et al.  An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering , 2011 .

[7]  A. Reynolds,et al.  Combining sensitivities and prior information for covariance localization in the ensemble Kalman filter for petroleum reservoir applications , 2011 .

[8]  Laura Dovera,et al.  Multimodal ensemble Kalman filtering using Gaussian mixture models , 2011 .

[9]  Behnam Jafarpour,et al.  A Probability Conditioning Method (PCM) for Nonlinear Flow Data Integration into Multipoint Statistical Facies Simulation , 2011 .

[10]  Haibin Chang,et al.  History matching of facies distribution with the EnKF and level set parameterization , 2010, J. Comput. Phys..

[11]  Sebastian Reich,et al.  A mollified ensemble Kalman filter , 2010, 1002.3091.

[12]  Dean S. Oliver,et al.  THE ENSEMBLE KALMAN FILTER IN RESERVOIR ENGINEERING-A REVIEW , 2009 .

[13]  Behnam Jafarpour,et al.  Estimating Channelized-Reservoir Permeabilities With the Ensemble Kalman Filter: The Importance of Ensemble Design , 2009 .

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

[15]  Ning Liu,et al.  Inverse Theory for Petroleum Reservoir Characterization and History Matching , 2008 .

[16]  Dean S. Oliver,et al.  Application of the EnKF and Localization to Automatic History Matching of Facies Distribution and Production Data , 2008 .

[17]  Dean S. Oliver,et al.  An Iterative Ensemble Kalman Filter for Multiphase Fluid Flow Data Assimilation , 2007 .

[18]  B. O. Ruud,et al.  Incorporating 4D Seismic Data in Reservoir Simulation Models Using Ensemble Kalman Filter , 2007 .

[19]  Albert C. Reynolds,et al.  Assessing the Uncertainty in Reservoir Description and Performance Predictions With the Ensemble Kalman Filter , 2007 .

[20]  Jeffrey L. Anderson.  EXPLORING THE NEED FOR LOCALIZATION IN ENSEMBLE DATA ASSIMILATION USING A HIERARCHICAL ENSEMBLE FILTER , 2007 .

[21]  J. Skilling.  Nested sampling for general Bayesian computation , 2006 .

[22]  A. Reynolds,et al.  Iterative Forms of the Ensemble Kalman Filter , 2006 .

[23]  Dean S. Oliver,et al.  Sequential assimilation of 4D seismic data for reservoir description using the ensemble Kalman filter , 2006 .

[24]  Dean S. Oliver,et al.  Ensemble Kalman filter for automatic history matching of geologic facies , 2005 .

[25]  M. Buehner,et al.  Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations , 2005 .

[26]  G. Evensen,et al.  Sequential Data Assimilation Techniques in Oceanography , 2003 .

[27]  G. Evensen,et al.  An ensemble Kalman smoother for nonlinear dynamics , 2000 .

[28]  Christian L. Keppenne,et al.  Data Assimilation into a Primitive-Equation Model with a Parallel Ensemble Kalman Filter , 2000 .

[29]  P. Groenen,et al.  Modern Multidimensional Scaling: Theory and Applications , 1999 .

[30]  G. Evensen,et al.  Data assimilation and inverse methods in terms of a probabilistic formulation , 1996 .

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

[32]  Michael Andrew Christie,et al.  Calibration of channelized subsurface flow models using nested sampling and soft probabilities , 2015 .

[33]  Gergina Pencheva,et al.  A parallel ensemble-based framework for reservoir history matching and uncertainty characterization , 2012, Computational Geosciences.

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

[35]  A. Boucher,et al.  Applied Geostatistics with SGeMS: A User's Guide , 2009 .

[36]  Sigurd Ivar Aanonsen,et al.  4D Seismic History Matching of a Real Field Case With EnKF: Use of Local Analysis for Model Updating , 2010 .

[37]  Sigurd Ivar Aanonsen,et al.  Ensemble Based 4D Seismic History Matching: Integration of Different Levels and Types of Seismic Data , 2010 .

[38]  Wen H. Chen,et al.  Generalization of the Ensemble Kalman Filter Using Kernels for Nongaussian Random Fields , 2009 .

[39]  Yong Zhao,et al.  Generating Facies Maps by Assimilating Production Data and Seismic Data With the Ensemble Kalman Filter , 2008 .

[40]  S. Aanonsen,et al.  History Matching Using Time-lapse Seismic (HUTS) , 2003 .

[41]  Sebastien Strebelle,et al.  Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics , 2002 .

[42]  D. McLaughlin,et al.  Hydrologic Data Assimilation with the Ensemble Kalman Filter , 2002 .

[43]  P. Houtekamer,et al.  A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation , 2001 .