Machado, R.S. Field Parametric Geostatistics  a rigorous theory to solve problems of highly skewed distributions 

MachucaMory, D. F. High order simulation of a faultcontrolled gold deposit using spatial cumulants. 

Maciel, C. Geostatistical Inversion of Prestack Seismic Data 

Madsen, A Combined use of lithological and grade simulations for risk analysis in iron ore, ValeBrazil 

MAISONNEUVE, F. Conditional simulation of a positive random vectorsubject to maxlinear constraints. A geometric perspective. 

Malherbe, L Optimization strategies for spatial design of air quality measurement surveys 

Spatial representativeness
of an air quality monitoring station. Delimitation of exceedance areas


Which relations between deterministic simulations and observations? 

Manchuk, J. MicroModeling for Enhanced Small Scale PorosityPermeability Relationships 

Applications of Data Coherency for Data Analysis and Geological Zonation 

Mantilla, C.M. Uncertainty Quantification and Feedback Control using a Model Selection Approach ? Application to a Polymer Flooding Process 

Maraun, D. Evaluation and Calibration of Dynamically Downscaled Precipitation over Norwegian Mainland 

Interpolation of Concentration Measurements by Kriging Using Flow Coordinates 

Revisiting the linear model of coregionalization 

Mariethoz, G. Reconstruction of multivariate satellite images using multiplepoint statistics 

Insights in paleoclimate variability through the variographic analysis of stalagmite time series 

Conditional simulation of realistic meandering channels using 1D multiplepoint simulations 

Guidelines to Perform MultiplePoint Statistical Simulations with the Direct Sampling Algorithm 

Adaptive Spatial Resampling Applied to Seismic Inverse Modeling 

Marques, DM Plurigaussian simulations used to analyze the uncertainty in resources estimation from a lateritic nickel deposit 

The use of geostatistical simulation to optimize the homogenization and blending strategies 

Marshall, Joanna K. A Comparison of Geostatistical Techniques to Model Geological Uncertainty 

Martinelli, G. Modelling dependencies between oil exploration prospects with Bayesian networks 

Building Bayesian Networks from Basin Modeling scenarios for Decision Making under geologic uncertainty 

Masetti, L Combined use of lithological and grade simulations for risk analysis in iron ore, ValeBrazil 

Mateu, J.M. On smoothness measures for spacetime surfaces 

Maucec, M. Gridless Modeling of Reservoir Properties with Maximum Continuity Field Interpolation 

Facies Simulation in Practice: Lithotype Proportion Mapping and Plurigaussian Simulation, a Powerful Combination 

Reconstruction of multivariate satellite images using multiplepoint statistics 

McHargue, T. Eventbased Geostatistical Modeling: Description and Applications 

McKenna, S.A. Low Parameter Representations of Anthropogenic Greenhouse Gas Flux Fields for Inverse Parameter Estimation 

Meerschman, E. Guidelines to Perform MultiplePoint Statistical Simulations with the Direct Sampling Algorithm 

Méheut, C Genetic Algorithms & Scenario Reduction 

MONESTIEZ, P. Cokriging for Large Spatial Datasets: Mapping Soil Properties at a Region Scale from Airborne Hyperspectral Imagery. 

Mouche, E. 1D Runoff Production in the Light of Queueing Theory: Heterogeneity, Connectivity and Scale  

Mueller, Ute A Cokriging of log ratios; a worked alternative method 

Spatial decorrelation methods: beyond MAF and PCA 

Mukerji, T. Adaptive Spatial Resampling Applied to Seismic Inverse Modeling 

Linking geostatistics with basin and petroleum system modeling: Assessment of spatial uncertainties 

Building Bayesian Networks from Basin Modeling scenarios for Decision Making under geologic uncertainty 

Sequential Simulations of Mixed DiscreteContinuous Properties: Sequential Gaussian Mixture Simulation 

Distance based sensitivity analysis for join inversion of timelapse and production data of Norne field 

Muller, ED Plurigaussian simulations used to analyze the uncertainty in resources estimation from a lateritic nickel deposit 

Mustapha, H Approximations of HighOrder Spatial Statistics through Decomposition 

Natvig, B. A Stochastic Model in Space and Time for Monthly Maximum Significant Wave Height 
Top 
Neufeld, C. MicroModeling for Enhanced Small Scale PorosityPermeability Relationships 

Neumann, K. B. Uncertainty study on inplace volumes in Statoil 

Nilsen, H.M. A Study on How TopSurface Morphology Influences the CO2 Storage Capacity 

Niven, E. MicroModeling for Enhanced Small Scale PorosityPermeability Relationships 

NonRandom Discrete Fracture Network Modelling 

Noronha, R Combined use of lithological and grade simulations for risk analysis in iron ore, ValeBrazil 

Nunes, R., F., Seismic Attributes for Constraining Geostatistical Seismic Inversion 

Geostatistical Inversion of Prestack Seismic Data 

Omre, H Ensemble Kalman Filtering in a Bayesian Regression Framework 
Top 
Wavelet estimation in seismic convolved hidden Markov models 

Seismic AVO inversion using the closed skewnormal random field 

Oppeneau, T. Application of stochastic simulations and quantifying uncertainties in the drilling of roll front uranium deposits 

Orskaug, E. Evaluation and Calibration of Dynamically Downscaled Precipitation over Norwegian Mainland 

Ortiz, J. M. Multiplepoint Geostatistical Simulation based on Genetic Algorithms implemented in a SharedMemory Supercomputer 

Parallel implementation of multiplepoint simulation based on texture synthesis 

Osadetz, K.G. Play resource evaluation and geological risk assessment with modelbased stochastic simulation with applications to unconventional oil plays in WCSB 

Osmundsen, I. K. Uncertainty study on inplace volumes in Statoil 

Parajka, J. Interpolating runoffrelated variables with rtop 
Top 
PardoIguzquiza, E. Extensions of the parametric inference of spatial covariances 

Park, H. History matching under uncertain geological scenario 

PARRA, A. Parallel implementation of multiplepoint simulation based on texture synthesis 

Pasquier, P. Interpolation of Concentration Measurements by Kriging Using Flow Coordinates 

Pasti, H. A. Multiplepoint Geostatistics for Modelling Lithological Domains at a Brazilian Iron Ore Deposit Using the Single Normal Equations Simulation Algorithm. 

Paula, W F Risk Analysis on Mining Planning and Reserves Assessment at a Brazilian Copper Mine. 

Pebesma, E. Modelling Dependence in Space and Time with Vine Copulas 

Interpolating runoffrelated variables with rtop 

Peláez , M. Sequential simulation with iterative methods 

Peredo, O. Multiplepoint Geostatistical Simulation based on Genetic Algorithms implemented in a SharedMemory Supercomputer 

Pereira, M. J. Geostatistical stochastic simulation for spatial accuracy assessment of land cover maps derived from remotely sensed data 

Petit, G. Application of stochastic simulations and quantifying uncertainties in the drilling of roll front uranium deposits 

Pinheiro, L., M. Seismic Attributes for Constraining Geostatistical Seismic Inversion 

Pirot, G. Guidelines to Perform MultiplePoint Statistical Simulations with the Direct Sampling Algorithm 

Simulating braided river aquifer heterogeneity using a pseudogenetic approach and multiplepoints geostatistics 

Distancebased Kriging relying on proxy simulations for inverse conditioning 

PIVOT, F. Estimation of most likely lithology map in the context of Truncated Gaussian techniques. 

PolusLefebvre, E. Which relations between deterministic simulations and observations? 

Poulin, M. Which relations between deterministic simulations and observations? 

Pozdnoukhov, A Using active learning for monitoring networks design: the example of wind power plants sites evaluation 

Reservoir modelling under uncertainty  a kernel learning approach 

Pyrcz, M Simulation of Petrophysical Property Trends within Facies Geobodies Modeled Using MultiplePoint Statistics 

Eventbased Geostatistical Modeling: Description and Applications 

Quental, P. Construction of highresolution stochastic geological models and optimal upscaling to MODFLOW 
Top 
Quinones, C Domaining by clustering multivariate geostatistical data 

Ray, J. Low Parameter Representations of Anthropogenic Greenhouse Gas Flux Fields for Inverse Parameter Estimation 
Top 
Reich, B.J. Block composite likelihood models for analysis of large spatial datasets 

Renard, P. Reconstruction of multivariate satellite images using multiplepoint statistics 

Conditional simulation of realistic meandering channels using 1D multiplepoint simulations 

Guidelines to Perform MultiplePoint Statistical Simulations with the Direct Sampling Algorithm 

Simulating braided river aquifer heterogeneity using a pseudogenetic approach and multiplepoints geostatistics 

Distancebased Kriging relying on proxy simulations for inverse conditioning 

A Review of Probability Aggregation Methods in Earth Sciences 

Rezaie, J. A Gaussian mixture Monte Carlo filter for state estimation in very high dimensional nonlinear systems 

Ribeiro, D T Combined use of lithological and grade simulations for risk analysis in iron ore, ValeBrazil 

Multidirectional Random Walk: An Alternative to Local Simulation of Gaussian Data 

Rimstad, Kjartan Seismic AVO inversion using the closed skewnormal random field 

Riquelme, Rodrigo SPATIAL PREDICTION USING MINIMUM/MAXIMUM AUTOCORRELATION FACTORS AND MULTIGAUSSIAN KRIGING: CASE STUDY IN THE MINING INDUSTRY


Rivest, M. Interpolation of Concentration Measurements by Kriging Using Flow Coordinates 

Rivoirard, J Domaining by clustering multivariate geostatistical data 

Robinson, G A Comparison of Methods for Solving the Sensor Location Problem 

ROJAS, T. Reducing Uncertainty in Modelling Fluvial Reservoirs by using Intelligent Geological Priors 

Roldao, D G Combined use of lithological and grade simulations for risk analysis in iron ore, ValeBrazil 

Multidirectional Random Walk: An Alternative to Local Simulation of Gaussian Data 

Romary, T Optimization strategies for spatial design of air quality measurement surveys 

Domaining by clustering multivariate geostatistical data 

Rondon, O. Assessing Uncertainty in Recovery Functions: A Practical Approach 

Rossi, M.E. Measuring the Impact of the Change of Support and Information Effect at Olympic Dam 

Rosspopoff, B. Distancebased Kriging relying on proxy simulations for inverse conditioning 

Rumbach, G. Application of stochastic simulations and quantifying uncertainties in the drilling of roll front uranium deposits 

Sætrom, J Ensemble Kalman Filtering in a Bayesian Regression Framework 
Top 
Santa, L.F. Bayesian Statistics Applied To Evaluation And Zoning Of The Land Surface Deformated. Case Study: Funza Town In Cundinamarca ï¿½ Colombia 

Satija, A Sampling highdimensional posterior distributions in metric space 

Scheel, I. Evaluation and Calibration of Dynamically Downscaled Precipitation over Norwegian Mainland 

Scheepens, C. Updating multipoint simulations using the ensemble Kalman filter 

Sampling highdimensional posterior distributions in metric space 

Schulz, M. Uncertainty in species distribution modelling ? the use of Mahalanobis distance 

Schwedersky, G. Geostatistical Inversion of Prestack Seismic Data 

Secchi, P. Bagging Voronoiclassifiers for clustering spatial functional data 

Seguret, S.A. Cokriging Partial Grades  Application to Block Modeling of Copper Deposits 

Shaby, B.A. Block composite likelihood models for analysis of large spatial datasets 

Shi, G. Gridless Modeling of Reservoir Properties with Maximum Continuity Field Interpolation 

Ranking geostatistical reservoir models with modified connected hydrocarbon volume 

Simões, M. Construction of highresolution stochastic geological models and optimal upscaling to MODFLOW 

Simpson, D. P. The use of systems of stochastic PDEs as priors in seismic AVA inversion 

SindingLarsen, R. Building Bayesian Networks from Basin Modeling scenarios for Decision Making under geologic uncertainty 

Distributions with Beta properties as a model for the parent size distribution of grown oil and gas pools. 

Skøien, J.O. Uncertainty in species distribution modelling ? the use of Mahalanobis distance 

Comparing geostatistical models for river networks 

Skøien, Jon Olav Interpolating runoffrelated variables with rtop 

Soares, A. Uncertainty Quantification For HistoryMatching Of NonStationary Models Using Geostatistical Algorithms 

Geostatistical Inversion of Prestack Seismic Data 

Seismic Attributes for Constraining Geostatistical Seismic Inversion 

Spoeck, Gunter Spatial sampling design with skew distributions: The special case of transGaussian kriging 

Srinivasan, S Multiscale Modeling of Fracture Network in a Carbonate Reservoir 

Efficient Conditional Simulation of Spatial Patterns Using a PatternGrowth Algorithm 

Uncertainty Quantification and Feedback Control using a Model Selection Approach ? Application to a Polymer Flooding Process 

MultiplePoint Statistics on a NonGridded Domain: Application to Karst/Fracture Network Modeling 

Srivastava, R. M. On the use of MultiGaussian Kriging for
Grade Domaining in Mineral Resource Characterization 

Breaking an InstantScratch Game: How One Geostatistician Beat the Lottery Industry 

On Maximizing Spatial Entropy 

Steinsland, I. Using Stochastic Partial Differential Equation Models for Spatial Reconstruction of Annual Precipitation 

Stien, M. Modelling dependencies between oil exploration prospects with Bayesian networks 

Using Multiple Grids in Markov Mesh Facies Modeling 

Straubhaar, J. Mixing Tree and List Structures for MultiplePoint Statistics Simulations 

Guidelines to Perform MultiplePoint Statistical Simulations with the Direct Sampling Algorithm 

Simulating braided river aquifer heterogeneity using a pseudogenetic approach and multiplepoints geostatistics 

Strebelle, S Simulation of Petrophysical Property Trends within Facies Geobodies Modeled Using MultiplePoint Statistics 

Eventbased Geostatistical Modeling: Description and Applications 

MultiplePoint Geostatistics: from Theory to Practice 

Sullivan, M. Eventbased Geostatistical Modeling: Description and Applications 

Suman, Amit Distance based sensitivity analysis for join inversion of timelapse and production data of Norne field 

Suzuki, S. Distancebased Characterization of Subgridscale Dynamic Flow Behavior for Multiphase Flow Upscaling 

Syversveen, A.R. A Study on How TopSurface Morphology Influences the CO2 Storage Capacity 

Tjelmeland, H. Construction of binary multigrid Markov random field models from training images 

Approximations and bounds for binary Markov random fields 

On the construction of discrete distributions from training images 

Construction of binary multigrid Markov random field models from training images 

On the construction of discrete distributions from training images 

Toscas, P A Comparison of Methods for Solving the Sensor Location Problem 
Top 
Triviño, M Bayesian Statistics Applied To Evaluation And Zoning Of The Land Surface Deformated. Case Study: Funza Town In Cundinamarca ï¿½ Colombia 

Tuia, D Using active learning for monitoring networks design: the example of wind power plants sites evaluation 

Tveranger, J. A Study on How TopSurface Morphology Influences the CO2 Storage Capacity 

Tviberg, S. Building Bayesian Networks from Basin Modeling scenarios for Decision Making under geologic uncertainty 

Tyree, D Applying Probability Constrained LIK in a Lowgrade, High Nugget Effect Gold Deposit 

Ung, A. Which relations between deterministic simulations and observations? 
Top 
van Bloemen Waanders, B. Low Parameter Representations of Anthropogenic Greenhouse Gas Flux Fields for Inverse Parameter Estimation 
Top 
Van Meirvenne, M. Guidelines to Perform MultiplePoint Statistical Simulations with the Direct Sampling Algorithm 

Vanem, E. A Stochastic Model in Space and Time for Monthly Maximum Significant Wave Height 

Vann, J E NonMultiGaussian Multivariate Simulations with Guaranteed Reproduction of InterVariable Correlations 

Vantini, S. Bagging Voronoiclassifiers for clustering spatial functional data 

VargasGuzman, J.A. Modeling Nonstationary and Nonlinear Beta Probability Fields 

Verly, G. Comparative Study of Two Gaussian Simulation Algorithms, Boddington Gold Porphyry Deposit


Viglione, A. Interpolating runoffrelated variables with rtop 

Vincent, A Genetic Algorithms & Scenario Reduction 

Vitelli, V. Bagging Voronoiclassifiers for clustering spatial functional data 

Walgenwitz, A. Mixing Tree and List Structures for MultiplePoint Statistics Simulations 
Top 
WALKER, E. Cokriging for Large Spatial Datasets: Mapping Soil Properties at a Region Scale from Airborne Hyperspectral Imagery. 

Ward, Clint C Cokriging of log ratios; a worked alternative method 

Wilde, B.J. Kriging and Simulation in Presence of Multiple Stationary Domains:
Developments in Boundary Modeling


Xu, C The edge effect in geostatistical simulations 
Top 
Yarus, J. M. Facies Simulation in Practice: Lithotype Proportion Mapping and Plurigaussian Simulation, a Powerful Combination 
Top 
Gridless Modeling of Reservoir Properties with Maximum Continuity Field Interpolation 

Yin, Yanshu A New Stochastic Modeling Method for the 3D Forecasting of IHS in Point Bar of Sinuous Channel 

Zagayevskiy, Y. Application of EnKF to Constrain Heavy Oil Reservoir Characterization to Temperature and Time Lapse Seismic Data 
Top 
Zapata, Susana SPATIAL PREDICTION USING MINIMUM/MAXIMUM AUTOCORRELATION FACTORS AND MULTIGAUSSIAN KRIGING: CASE STUDY IN THE MINING INDUSTRY


Zhang, Changmin A New Stochastic Modeling Method for the 3D Forecasting of IHS in Point Bar of Sinuous Channel 

Play resource evaluation and geological risk assessment with modelbased stochastic simulation with applications to unconventional oil plays in WCSB 

Zhao, Y. Updating multipoint simulations using the ensemble Kalman filter 

Zhou, H. Marginally nonGaussian Inverse Stochastic Modeling 
