Recent progress on reservoir history matching: a review
暂无分享,去创建一个
[1] R. Parker. Understanding Inverse Theory , 1977 .
[2] R. Hunt,et al. Are Models Too Simple? Arguments for Increased Parameterization , 2007, Ground water.
[3] M. L. Wasserman,et al. A New Algorithm for Automatic History Matching , 1974 .
[4] Trond Mannseth,et al. Scale Splitting Approach to Reservoir Characterization , 2001 .
[5] Dean S. Oliver,et al. COMPUTATION OF SENSITIVITY COEFFICIENTS FOR CONDITIONING THE PERMEABILITY FIELD TO WELL-TEST PRESSURE DATA , 1995 .
[6] Dean S. Oliver,et al. History Matching Using a Hierarchical Stochastic Model with the Ensemble Kalman Filter: A Field Case Study , 2009 .
[7] B. Jafarpour,et al. History matching with an ensemble Kalman filter and discrete cosine parameterization , 2008 .
[8] Dean S. Oliver,et al. Reparameterization Techniques for Generating Reservoir Descriptions Conditioned to Variograms and Well-Test Pressure Data , 1996 .
[9] Albert C. Reynolds,et al. Assessing the Uncertainty in Reservoir Description and Performance Predictions With the Ensemble Kalman Filter , 2007 .
[10] Akhil Datta-Gupta,et al. Streamlines, ray tracing and production tomography: generalization to compressible flow , 2000 .
[11] Dean S. Oliver,et al. Improving the Ensemble Estimate of the Kalman Gain by Bootstrap Sampling , 2010 .
[12] A. Tarantola. Inverse problem theory : methods for data fitting and model parameter estimation , 1987 .
[13] F. Anterion,et al. Use of Parameter Gradients for Reservoir History Matching , 1989 .
[14] Benoît Nœtinger,et al. Optimization with the Gradual Deformation Method , 2002 .
[15] J. Seinfeld,et al. Estimation of absolute and relative permeabilities in petroleum reservoirs , 1987 .
[16] Dean S. Oliver,et al. Multiple Realizations of the Permeability Field From Well Test Data , 1996 .
[17] Dean S. Oliver. Estimation of radial permeability distribution from well-test data , 1992 .
[18] A. S. Cullick,et al. High-Resolution Reservoir Models Integrating Multiple-Well Production Data , 1998 .
[19] Yan Chen,et al. Dynamic Reservoir Data Assimilation With an Efficient, Dimension-Reduced Kalman Filter , 2007 .
[20] Thomas Bäck,et al. Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms , 1996 .
[21] Dean S. Oliver,et al. THE ENSEMBLE KALMAN FILTER IN RESERVOIR ENGINEERING-A REVIEW , 2009 .
[22] Akhil Datta-Gupta,et al. A Multiscale Approach to Production-Data Integration Using Streamline Models , 2001 .
[23] A. Reynolds,et al. Estimation of Depths of Fluid Contacts by History Matching Using Iterative Ensemble-Kalman Smoothers , 2010 .
[24] M Rubel,et al. Theory of stratigraphic correlation by means of ordinal scales , 1984 .
[25] M. Boucher,et al. Interpretation of Interference Tests in a Well Field Using Geostatistical Techniques to Fit the Permeability Distribution in a Reservoir Model , 1984 .
[26] Haibin Chang,et al. Data Assimilation of Coupled Fluid Flow and Geomechanics Using the Ensemble Kalman Filter , 2010 .
[27] J. Caers,et al. The Probability Perturbation Method: A New Look at Bayesian Inverse Modeling , 2006 .
[28] Jef Caers,et al. History Matching Under Geological Control: Application to a North Sea Reservoir , 2005 .
[29] Rafael E. Banchs,et al. A Neural Stochastic Optimization Framework for Oil Parameter Estimation , 2006, IDEAL.
[30] Jeffrey L. Anderson. EXPLORING THE NEED FOR LOCALIZATION IN ENSEMBLE DATA ASSIMILATION USING A HIERARCHICAL ENSEMBLE FILTER , 2007 .
[31] Dean S. Oliver,et al. Data Assimilation Using the Constrained Ensemble Kalman Filter , 2011 .
[32] Deepak Devegowda,et al. Streamline-Assisted Ensemble Kalman Filter for Rapid and Continuous Reservoir Model Updating , 2008 .
[33] Michael Andrew Christie,et al. Prediction under uncertainty in reservoir modeling , 2002 .
[34] Trond Mannseth,et al. Nonlinearity, Scale, and Sensitivity for Parameter Estimation Problems , 1999, SIAM J. Sci. Comput..
[35] Andreas Griewank,et al. Achieving logarithmic growth of temporal and spatial complexity in reverse automatic differentiation , 1992 .
[36] Akhil Datta-Gupta,et al. Asymptotic solutions for solute transport: A formalism for tracer tomography , 1999 .
[37] Jose Rodrigues,et al. Calculating derivatives for automatic history matching , 2006 .
[38] J. Spall. Implementation of the simultaneous perturbation algorithm for stochastic optimization , 1998 .
[39] Dean S. Oliver,et al. Quantitative Use of 4D Seismic Data for Reservoir Description , 2005 .
[40] Yalchin Efendiev,et al. Preconditioning Markov Chain Monte Carlo Simulations Using Coarse-Scale Models , 2006, SIAM J. Sci. Comput..
[41] L. Hu. Gradual Deformation and Iterative Calibration of Gaussian-Related Stochastic Models , 2000 .
[42] D. Rahon,et al. Inversion of Geological Shapes in Reservoir Engineering Using Well-Tests and History Matching of Production Data , 1997 .
[43] Wen H. Chen,et al. Generalization of the Ensemble Kalman Filter Using Kernels for Nongaussian Random Fields , 2009 .
[44] Roland N. Horne,et al. A Procedure to Integrate Well Test Data, Reservoir Performance History and 4-D Seismic Information into a Reservoir Description , 1997 .
[45] Geir Nævdal,et al. The Effect of Including Tracer Data in the Ensemble-Kalman-Filter Approach , 2010 .
[46] Emily C. Moriarty,et al. The importance of proper model assumption in bayesian phylogenetics. , 2004, Systematic biology.
[47] Dean S. Oliver,et al. Ensemble-Based Closed-Loop Optimization Applied to Brugge Field , 2010 .
[48] Manuel Kindelan,et al. History matching problem in reservoir engineering using the propagation–backpropagation method , 2005 .
[49] Shah Shah,et al. Error Analysis in History Matching: The Optimum Level of Parameterization , 1978 .
[50] W. Yeh. Review of Parameter Identification Procedures in Groundwater Hydrology: The Inverse Problem , 1986 .
[51] Vivek K. Goyal,et al. Compressed History Matching: Exploiting Transform-Domain Sparsity for Regularization of Nonlinear Dynamic Data Integration Problems , 2010 .
[52] Trond Mannseth,et al. Adaptive Multiscale Permeability Estimation , 2003 .
[53] Robert Bissell,et al. Calculating Optimal Parameters for History Matching , 1994 .
[54] Dean S. Oliver,et al. History Matching of Three-Phase Flow Production Data , 2003 .
[55] Williams,et al. The Stratigraphic Method: A Structured Approach to History Matching Complex Simulation Models , 1997 .
[56] D. Oliver,et al. Markov chain Monte Carlo methods for conditioning a permeability field to pressure data , 1997 .
[57] John H. Seinfeld,et al. Estimation of two-phase petroleum reservoir properties by regularization , 1987 .
[58] Clayton V. Deutsch,et al. ANNEALING TECHNIQUES APPLIED TO RESERVOIR MODELING AND THE INTEGRATION OF GEOLOGICAL AND ENGINEERING (WELL TEST) DATA , 1992 .
[59] John Killough,et al. A Multiple Right Hand Side Iterative Solver for History Matching , 1995 .
[60] Akhil Datta-Gupta,et al. Estimating Relative Permeability From Production Data: A Streamline Approach , 2000 .
[61] R.E. Ewing,et al. Estimating parameters in scientific computation - A survey of experience from oil and groundwater modeling , 1994, IEEE Computational Science and Engineering.
[62] Dean S. Oliver,et al. Critical Evaluation of the Ensemble Kalman Filter on History Matching of Geologic Facies , 2005 .
[63] Dean S. Oliver,et al. An Iterative Ensemble Kalman Filter for Multiphase Fluid Flow Data Assimilation , 2007 .
[64] Dilip Saha,et al. SPIN8: a FORTRAN 77 program for automated rotation of poles , 1987 .
[65] Akhil Datta-Gupta,et al. Streamline-Based Production Data Integration With Gravity and Changing Field Conditions , 2002 .
[66] Geir Nævdal,et al. Benchmark Study of Ensemble Kalman Filter Methodology: History Matching and Uncertainty Quantification for a Deep-Water Oil Reservoir , 2009 .
[67] Dean S. Oliver,et al. Ensemble Kalman filter for automatic history matching of geologic facies , 2005 .
[68] Dean S. Oliver,et al. Simultaneous Estimation of Absolute and Relative Permeability by Automatic History Matching of Three-Phase Flow Production Data , 2001 .
[69] Akhil Datta-Gupta,et al. A Comparison of Travel-Time and Amplitude Matching for Field-Scale Production-Data Integration: Sensitivity, Nonlinearity, and Practical Implications , 2005 .
[70] Akhil Datta-Gupta,et al. Integrating dynamic data into high-resolution reservoir models using streamline-based analytic sensitivity coefficients , 1998 .
[71] Henning Omre,et al. Stochastic Simulation and Conditioning by Annealing in Reservoir Description , 1994 .
[72] Dean S. Oliver,et al. Sensitivity Coefficients for Three-Phase Flow History Matching , 2001 .
[73] Jef Caers,et al. Efficient gradual deformation using a streamline-based proxy method , 2003 .
[74] Nestor Distefano,et al. An identification approach to subsurface hydrological systems , 1975 .
[75] Sigurd I. Aanonsen. Efficient History Matching Using a Multiscale Technique , 2008 .
[76] D. G. Watts,et al. Relative Curvature Measures of Nonlinearity , 1980 .
[77] Dean S. Oliver,et al. Conditioning 3D Stochastic Channels to Pressure Data , 2000 .
[78] Hilde Meisingset,et al. Using the EnKF for Assisted History Matching of a North Sea Reservoir Model , 2007 .
[79] Xian-Huan Wen,et al. Simultaneous Integration of Pressure, Water Cut,1 and 4-D Seismic Data In Geostatistical Reservoir Modeling , 2006 .
[80] D. McLaughlin,et al. A Reassessment of the Groundwater Inverse Problem , 1996 .
[81] T. Romary. Integrating production data under uncertainty by parallel interacting Markov chains on a reduced dimensional space , 2009 .
[82] Lawrence C. Katz,et al. Encoding social signals in the mouse main olfactory bulb , 2005, Nature.
[83] M. Sambridge. Geophysical inversion with a neighbourhood algorithm—II. Appraising the ensemble , 1999 .
[84] Henning Omre,et al. Uncertainties in reservoir production forecasts , 1997 .
[85] Dean S. Oliver,et al. Conditioning Permeability Fields to Pressure Data , 1996 .
[86] Akhil Datta-Gupta,et al. Compressible Streamlines and Three-Phase History Matching , 2007 .
[87] William W.-G. Yeh,et al. Coupled inverse problems in groundwater modeling - 1. Sensitivity analysis and parameter identification. , 1990 .
[88] Geir Nævdal,et al. HISTORY MATCHING AND PRODUCTION FORECAST UNCERTAINTY BY MEANS OF THE ENSEMBLE KALMAN FILTER: A REAL FIELD APPLICATION , 2007 .
[89] J. Caers,et al. Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization , 2008 .
[90] Dean S. Oliver,et al. Efficient reservoir history matching using subspace vectors , 2001 .
[91] Tor Arne Johansen,et al. Incorporating 4D Seismic Data in Reservoir Simulation Models Using Ensemble Kalman Filter , 2007 .
[92] L. K. Thomas,et al. Reservoir Characterization of Ekofisk Field: A Giant, Fractured Chalk Reservoir in the Norwegian North Sea—History Match , 2000 .
[93] Yong Zhao,et al. Generating Facies Maps by Assimilating Production Data and Seismic Data With the Ensemble Kalman Filter , 2008 .
[94] Ivar Aavatsmark,et al. A method for automatic history matching of a compositional reservoir simulator with multipoint flux approximation , 2008 .
[95] Costas Kravaris,et al. Identification of spatially discontinuous parameters in second-order parabolic systems by piecewise regularization , 1987, 26th IEEE Conference on Decision and Control.
[96] Roland N. Horne,et al. Multiresolution Wavelet Analysis for Improved Reservoir Description , 2005 .
[97] Michael Andrew Christie,et al. Hydrocarbon Production Forecast and Uncertainty Quantification: A Field Application , 2006 .
[98] Dean S. Oliver,et al. A Hybrid Markov Chain Monte Carlo Method for Generating Permeability Fields Conditioned to Multiwell Pressure Data and Prior Information , 1998 .
[99] Akhil Datta-Gupta,et al. Experiences With Streamline-Based Three-Phase History Matching , 2009 .
[100] Akhil Datta-Gupta,et al. Integrating dynamic data into high-resolution reservoir models using streamline-based analytic sensitivity coefficients , 1999 .
[101] Dean S. Oliver,et al. Automatic History Matching in a Bayesian Framework, Example Applications , 2005 .
[102] R. A. Schatzinger,et al. Efficient Technique for Inversion of Reservoir Properties Using Iteration Method , 2000 .
[103] R. W. Schulze-Riegert,et al. Combined Global and Local Optimization Techniques Applied to History Matching , 2003 .
[104] Jonathan Carter,et al. Using genetic algorithms for reservoir characterisation , 2001 .
[105] Curtis R. Vogel,et al. Iterative SVD-Based Methods for Ill-Posed Problems , 1994, SIAM J. Sci. Comput..
[106] Martin J. Blunt,et al. Streamline-Based Method With Full-Physics Forward Simulation for History-Matching Performance Data of a North Sea Field , 2003 .
[107] Albert C. Reynolds,et al. Results of the Brugge Benchmark Study for Flooding Optimization and History Matching , 2010 .
[108] Mike Christie,et al. Uncertainty quantification for porous media flows , 2006, J. Comput. Phys..
[109] A. Reynolds,et al. Optimization Algorithms for Automatic History Matching of Production Data , 2002 .
[110] Dean S. Oliver,et al. An Initial Guess for the Levenberg–Marquardt Algorithm for Conditioning a Stochastic Channel to Pressure Data , 2003 .
[111] G. Chavent,et al. History Matching by Use of Optimal Theory , 1975 .
[112] Hans O. Jahns,et al. A Rapid Method for Obtaining a Two-Dimensional Reservoir Description From Well Pressure Response Data , 1966 .
[113] R. Fletcher. Practical Methods of Optimization , 1988 .
[114] Dean S. Oliver,et al. On conditional simulation to inaccurate data , 1996 .
[115] Dongxiao Zhang,et al. Data assimilation for nonlinear problems by ensemble Kalman filter with reparameterization , 2009 .
[116] Eliana M. Makhlouf,et al. A General History Matching Algorithm for Three-Phase, Three-Dimensional Petroleum Reservoirs , 1993 .
[117] J. W. Barker,et al. Quantifying Uncertainty in Production Forecasts: Another Look at the PUNQ-S3 Problem , 2001 .
[118] D. Oldenburg,et al. Generalized subspace methods for large-scale inverse problems , 1993 .
[119] Dean S. Oliver,et al. Evaluation of Monte Carlo Methods for Assessing Uncertainty , 2003 .
[120] Gene H. Golub,et al. Matrix computations , 1983 .
[121] Geir Evensen,et al. Structural Uncertainty Modelling and Updating by Production Data Integration , 2009 .
[122] Knut-Andreas Lie,et al. Adaptive Multiscale Streamline Simulation and Inversion for High-Resolution Geomodels , 2008 .
[123] Ning Liu,et al. Automatic History Matching of Geologic Facies , 2004 .
[124] Jonathan Carter,et al. An analysis of history matching errors , 2005 .
[125] C. Kravaris,et al. Identification of parameters in distributed parameter systems by regularization , 1983, The 22nd IEEE Conference on Decision and Control.
[126] G. Matheron. Principles of geostatistics , 1963 .
[127] Akhil Datta-Gupta,et al. Streamline Assisted Ensemble Kalman Filter for Rapid and Continuous Reservoir Model Updating , 2006 .
[128] Dean S. Oliver,et al. Integration of production data into reservoir models , 2001, Petroleum Geoscience.
[129] C. Deutsch,et al. Geostatistics Banff 2004 , 2005 .
[130] Richard E. Ewing,et al. Parameter and System Identification for Fluid Flow in Underground Reservoirs , 1994 .
[131] P. A. Swaby,et al. Combining Geostatistical Modelling With Gradient Information for History Matching: The Pilot Point Method , 1997 .
[132] O. Bosgra,et al. Controllability, observability and identifiability in single-phase porous media flow , 2008 .
[133] C. W. Harper,et al. A FORTRAN IV program for comparing ranking algorithms in quantitative biostratigraphy , 1984 .
[134] T. Deschamps,et al. The Results of Testing Six Different Gradient Optimisers on Two History Matching Problems , 1998 .
[135] Douglas M. Hawkins,et al. Comment on “SPHINX—a program to fit the spherical and exponential models to experimental semivariograms” , 1986 .
[136] Trond Mannseth,et al. Identification of Unknown Permeability Trends From History Matching of Production Data , 2004 .
[137] Mickaele Le Ravalec-Dupin,et al. GRADUAL DEFORMATION OF BOOLEAN SIMULATIONS , 2005 .
[138] Yuandong Wang,et al. A streamline approach for history-matching production data , 2000 .
[139] L. Hu,et al. Gradual deformation and iterative calibration of truncated Gaussian simulations , 2001, Petroleum Geoscience.
[140] Lifu Chu,et al. An Efficient Technique for Inversion of Reservoir Properties Using Iteration Method , 1996 .
[141] Dean S. Oliver,et al. Experimental Assessment of Gradual Deformation Method , 2004 .
[142] P. C. Shah,et al. Reservoir History Matching by Bayesian Estimation , 1976 .
[143] E. M. Oblow. Sensitivity theory for reactor thermal-hydraulics problems , 1978 .
[144] Emmanuel Manceau,et al. Application of Advanced History Matching Techniques to an Integrated Field Case Study , 2003 .
[145] Dean S. Oliver,et al. The Averaging Process in Permeability Estimation From Well-Test Data , 1990 .
[146] John M. Wahr,et al. Aliasing and noise in core-surface flow inversions , 1996 .
[147] Roberto Rossi,et al. Using Gradients To Refine Parameterization in Field-Case History-Matching Projects , 2007 .
[148] Albert C. Reynolds,et al. A Stochastic Optimization Algorithm for Automatic History Matching , 2007 .
[149] Dean S. Oliver,et al. Ensemble filter methods with perturbed observations applied to nonlinear problems , 2010 .
[150] O. Dorn,et al. History matching of petroleum reservoirs using a level set technique , 2008 .
[151] Geir Nævdal,et al. Revisiting Brugge case study using a Hierarchical Ensemble Kalman filter , 2009 .
[152] Dean S. Oliver,et al. Conditioning 3D Stochastic Channels to Pressure Data , 2000 .
[153] Ning Liu,et al. Inverse Theory for Petroleum Reservoir Characterization and History Matching , 2008 .
[154] M. V. Krymskaya,et al. An iterative ensemble Kalman filter for reservoir engineering applications , 2009 .
[155] Dean S. Oliver,et al. Three-dimensional reservoir description from multiwell pressure data and prior information , 1997 .
[156] Max Gunzburger,et al. Perspectives in flow control and optimization , 1987 .
[157] Albert C. Reynolds,et al. Quantifying Uncertainty for the PUNQ-S3 Problem in a Bayesian Setting With RML and EnKF , 2006 .
[158] Paul M.J. Van den Hof,et al. Determining Identifiable Parameterizations for Large-scale Physical Models in Reservoir Engineering , 2008 .
[159] Alain Galli,et al. The Pros and Cons of the Truncated Gaussian Method , 1994 .
[160] Albert C. Reynolds,et al. An Improved Implementation of the LBFGS Algorithm for Automatic History Matching , 2006 .
[161] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[162] A. S. Emanuel,et al. Applications of 3D Streamline Simulation To Assist History Matching , 2001 .
[163] Henning Omre,et al. Conditional Simulation of Facies Architecture in Fluvial Reservoirs , 1994 .
[164] H. Tjelmeland,et al. On the use of local optimizations within Metropolis–Hastings updates , 2004 .
[165] Y. Ho,et al. Simple Explanation of the No-Free-Lunch Theorem and Its Implications , 2002 .
[166] Roland N. Horne,et al. A Multiresolution Approach to Reservoir Parameter Estimation Using Wavelet Analysis , 2000 .
[167] J. W. Barker,et al. Uncertainty Analysis in Predictive Reservoir Simulation Using Gradient Information , 1999 .
[168] D. Oliver,et al. Cross-covariances and localization for EnKF in multiphase flow data assimilation , 2010 .
[169] Akhil Datta-Gupta,et al. Integrating field production history in stochastic reservoir characterization , 1997 .
[170] Dean S. Oliver,et al. History Matching of the PUNQ-S3 Reservoir Model Using the Ensemble Kalman Filter , 2005 .
[171] Benoit Noetinger,et al. Gradual Deformation and Iterative Calibration of Sequential Stochastic Simulations , 2001 .
[172] N. Kalogerakis,et al. A Three - Dimensional Three - Phase Automatic History Matching Model: Reliability Of Parameter Estimates , 1992 .
[173] Trond Mannseth,et al. Combined Adaptive Multiscale and Level-Set Parameter Estimation , 2005, Multiscale Model. Simul..
[174] Sylvia Richardson,et al. Markov Chain Monte Carlo in Practice , 1997 .
[175] Dean S. Oliver,et al. The Impact of Upscaling Errors on Conditioning a Stochastic Channel to Pressure Data , 2003 .
[176] Dmitry Eydinov,et al. A multiscale method for distributed parameter estimation with application to reservoir history matching , 2006 .
[177] Alexandra Seiler,et al. Advanced Reservoir Management Workflow Using an EnKF Based Assisted History Matching Method , 2009 .
[178] Geir Evensen,et al. History Matching Using the Ensemble Kalman Filter on a North Sea Field Case , 2008 .
[179] J. Spall. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation , 1992 .
[180] Dean S. Oliver,et al. The influence of nonuniform transmissivity and storativity on drawdown , 1993 .
[181] Knut-Andreas Lie,et al. Adaptive multiscale-streamline simulation and inversion for high-resolution geomodels , 2007 .
[182] Albert C. Reynolds,et al. Simultaneous Estimation of Relative Permeability and Porosity/Permeability Fields by History Matching Production Data , 2007 .
[183] Dean S. Oliver,et al. Conditioning Geostatistical Models to Two-Phase Production Data , 1999 .
[184] Magne S. Espedal,et al. Reservoir description using a binary level set model , 2009, Comput. Vis. Sci..
[185] A. Lavenue,et al. Application of a coupled adjoint sensitivity and kriging approach to calibrate a groundwater flow model , 1992 .
[186] A. R. Syversveen,et al. Methods for quantifying the uncertainty of production forecasts: a comparative study , 2001, Petroleum Geoscience.
[187] Rolf Johan Lorentzen,et al. History Matching Channelized Reservoirs Using the Ensemble Kalman Filter , 2012 .
[188] R. Schulze-Riegert,et al. Evolutionary Algorithms Applied to History Matching of Complex Reservoirs , 2002 .
[189] Michael N Fienen,et al. On Constraining Pilot Point Calibration with Regularization in PEST , 2009, Ground water.
[190] Akhil Datta-Gupta,et al. Structure Preserving Inversion: An Efficient Approach to Conditioning Stochastic Reservoir Models to Dynamic Data , 1997 .
[191] Ying Zhang,et al. Single-Phase Inflow Performance Relationship for Horizontal, Pinnate-Branch Horizontal, and Radial-Branch Wells , 2013 .
[192] Costas Kravaris,et al. History matching by spline approximation and regularization in single-phase areal reservoirs , 1986 .
[193] Dean S. Oliver,et al. Joint Updating of Petrophysical Properties and Discrete Facies Variables From Assimilating Production Data Using the EnKF , 2011 .
[194] Albert C. Reynolds,et al. Iterative Ensemble Kalman Filters for Data Assimilation , 2009 .
[195] Rolf Johan Lorentzen,et al. Reservoir Characterization During Underbalanced Drilling (UBD): Methodology and Active Tests , 2006 .
[196] P. Jacquard,et al. Permeability Distribution From Field Pressure Data , 1965 .
[197] D. Oliver,et al. Evaluation of the Reduction in Uncertainty Obtained by Conditioning a 3D Stochastic Channel to Multiwell Pressure Data , 2002 .
[198] Dean S. Oliver,et al. Application of the EnKF and Localization to Automatic History Matching of Facies Distribution and Production Data , 2008 .
[199] C. Vogel,et al. Analysis of bounded variation penalty methods for ill-posed problems , 1994 .
[200] Akhil Datta-Gupta,et al. Rapid History Matching Using a Generalized Travel-Time Inversion Method , 2002 .
[201] Dean S. Oliver,et al. The Sensitivity of Tracer Concentration to Nonuniform Permeability and Porosity , 1998 .
[202] A. T. Watson,et al. Automatic History Matching With Variable-Metric Methods , 1988 .
[203] L. Durlofsky,et al. Efficient real-time reservoir management using adjoint-based optimal control and model updating , 2006 .