Abichequer, L A MAF Decomposition of Compositional Data to Estimate Grades in Iron Ore Deposits 

Abrahamsen, P. A Study on How TopSurface Morphology Influences the CO2 Storage Capacity 

Using Multiple Grids in Markov Mesh Facies Modeling 

Allard, D. Nonparametric diagrams for
plurigaussian simulations of lithologies


A Review of Probability Aggregation Methods in Earth Sciences 

Allen, L Applying Probability Constrained LIK in a Lowgrade, High Nugget Effect Gold Deposit 

Almeida, J. A., Seismic Attributes for Constraining Geostatistical Seismic Inversion 

Construction of highresolution stochastic geological models and optimal upscaling to MODFLOW 

Amaral, H. Construction of highresolution stochastic geological models and optimal upscaling to MODFLOW 

Anupam, A Multiscale Modeling of Fracture Network in a Carbonate Reservoir 

Armony, M. Field Parametric Geostatistics  a rigorous theory to solve problems of highly skewed distributions 

Armstrong, Margaret Genetic Algorithms & Scenario Reduction 

ARNOLD, D. Reducing Uncertainty in Modelling Fluvial Reservoirs by using Intelligent Geological Priors 

Sequential simulation with iterative methods 

AssibeyBonsu, W. Comparative study of Localized Block Simulations and Localized Uniform Conditioning in the Multivariate case. 

Auestad, B.H. Modeling and analysis of daily rainfall data 

Aune, Erlend The use of systems of stochastic PDEs as priors in seismic AVA inversion 

Austad, H.M. Approximations and bounds for binary Markov random fields 

Aydin, Orhun Transformation spaces for determining spatial model complexity 

Azevedo, L. Seismic Attributes for Constraining Geostatistical Seismic Inversion 

Integration and Selection of Geological Scenarios through Multiple Kernel Learning to improve the prediction of Reservoir Properties 

BACRO, J.N. Conditional simulation of a positive random vectorsubject to maxlinear constraints. A geometric perspective. 
Top 
Badenhorst, C, Measuring the Impact of the Change of Support and Information Effect at Olympic Dam 

Baker, A. Insights in paleoclimate variability through the variographic analysis of stalagmite time series 

BARAN, N Characterization of groundwater nitrate long term trends at regional scale
using statistical and geostatistical tools


Barnett, R M Practical Implementation of NonLinear Transforms for Modeling Geometallurgical Variables 

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


BEL, L. Conditional simulation of a positive random vectorsubject to maxlinear constraints. A geometric perspective. 

Beniscelli, J. Cokriging Partial Grades  Application to Block Modeling of Copper Deposits 

Biver, P. Lateral offset stacked channels (LOSCs) simulations using a pseudogenetic approach 

Nonparametric diagrams for
plurigaussian simulations of lithologies


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

Blöschl, G. Comparing geostatistical models for river networks 

Interpolating runoffrelated variables with rtop 

Boezio, M N M MAF Decomposition of Compositional Data to Estimate Grades in Iron Ore Deposits 

Bohorquez, M.P. On smoothness measures for spacetime surfaces 

Boisvert, J. B. Inference of 2D and 3D locally varying anisotropy fields for complex geological formations 

MicroModeling for Enhanced Small Scale PorosityPermeability Relationships 

Bouchard, A. Updating multipoint simulations using the ensemble Kalman filter 

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

BOURGINE, Bernard Characterization of groundwater nitrate long term trends at regional scale
using statistical and geostatistical tools


Bratli, E. Uncertainty study on inplace volumes in Statoil 

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

Top 
Caeiro, M. H. Seismic Attributes for Constraining Geostatistical Seismic Inversion 

Uncertainty Quantification For HistoryMatching Of NonStationary Models Using Geostatistical Algorithms 

Caers, J Transformation spaces for determining spatial model complexity 

On internal consistency, conditioning and models of uncertainty 

History matching under uncertain geological scenario 

Direct nonstationary multiplepoint modeling by distancebased pattern simulation 

Sampling highdimensional posterior distributions in metric space 

Caetano , H. Geostatistical Inversion of Prestack Seismic Data 

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

Carrasco, P. Cokriging Partial Grades  Application to Block Modeling of Copper Deposits 

Caumon, G. Accounting for seismic trends in stochastic well correlation 

Cavelius, C Simulation of Petrophysical Property Trends within Facies Geobodies Modeled Using MultiplePoint Statistics 

Chalaturnyk, R.J. Use of Streamlines in Development and Application of a Linearized ReducedOrder Reservoir Model 

Chambers, R.L. Gridless Modeling of Reservoir Properties with Maximum Continuity Field Interpolation 

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

Chatterjee , S Patternbased geostatistical simulation using discrete wavelet transformation 

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

Chilès, JeanPaul Validity range of the discrete Gaussian changeofsupport model and its variant 

Christie, M. Integration and Selection of Geological Scenarios through Multiple Kernel Learning to improve the prediction of Reservoir Properties 

Reducing Uncertainty in Modelling Fluvial Reservoirs by using Intelligent Geological Priors 

Uncertainty Quantification For HistoryMatching Of NonStationary Models Using Geostatistical Algorithms 

Reservoir modelling under uncertainty  a kernel learning approach 

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

Clark, J. Eventbased Geostatistical Modeling: Description and Applications 

Comunian, A A Review of Probability Aggregation Methods in Earth Sciences 

Conditional simulation of realistic meandering channels using 1D multiplepoint simulations 

Cornah, AJ NonMultiGaussian Multivariate Simulations with Guaranteed Reproduction of InterVariable Correlations 

Correia, P., J., Seismic Attributes for Constraining Geostatistical Seismic Inversion 

Costa, J F C L Risk Analysis on Mining Planning and Reserves Assessment at a Brazilian Copper Mine. 

MAF Decomposition of Compositional Data to Estimate Grades in Iron Ore Deposits 

The Effect of Considering Density as Weighting Factor When Compositing Assay Grades and as Accumulated Variable on Mining Reconciliation 

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

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

The Effect Of Information From Different Drill Holes Campaigns On The Resource And Reserves Estimation In A Brazilian Bauxite Mine 

Field Parametric Geostatistics  a rigorous theory to solve problems of highly skewed distributions 

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 

Cunha, E Combined use of lithological and grade simulations for risk analysis in iron ore, ValeBrazil 

Cunha Filho, E. M. Multidirectional Random Walk: An Alternative to Local Simulation of Gaussian Data 

Dassargues, Alain Modeling the effect of clay drapes on pumping test response in a crossbedded aquifer using multiplepoint geostatistics 
Top 
De Boissezon, H. Application of stochastic simulations and quantifying uncertainties in the drilling of roll front uranium deposits 

de Fouquet, C 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? 

Dehdari, V Applications of Randomized Methods for Decomposing and Simulating from Large Covariance Matrices 

Della Rossa, E. Sequential Simulations of Mixed DiscreteContinuous Properties: Sequential Gaussian Mixture Simulation 

DEMOUGEOTRENARD, H. What about the practical implementation of geostatistics for contaminated sites and soils? 

Demyanov, V. Integration and Selection of Geological Scenarios through Multiple Kernel Learning to improve the prediction of Reservoir Properties 

Reducing Uncertainty in Modelling Fluvial Reservoirs by using Intelligent Geological Priors 

Uncertainty Quantification For HistoryMatching Of NonStationary Models Using Geostatistical Algorithms 

Reservoir modelling under uncertainty  a kernel learning approach 

Deraisme, J Domaining by clustering multivariate geostatistical data 

Comparative study of Localized Block Simulations and Localized Uniform Conditioning in the Multivariate case. 

Desassis, N. Iterative simulation of a Gaussian random vector: A propagative version of the Gibbs sampler 

Deutsch, C.V Applications of Randomized Methods for Decomposing and Simulating from Large Covariance Matrices 

Kriging and Simulation in Presence of Multiple Stationary Domains:
Developments in Boundary Modeling


Application of EnKF to Constrain Heavy Oil Reservoir Characterization to Temperature and Time Lapse Seismic Data 

MicroModeling for Enhanced Small Scale PorosityPermeability Relationships 

NonRandom Discrete Fracture Network Modelling 

Ranking geostatistical reservoir models with modified connected hydrocarbon volume 

Practical Implementation of NonLinear Transforms for Modeling Geometallurgical Variables 

Applications of Data Coherency for Data Analysis and Geological Zonation 

Dias, Paulo Mauricio The Effect of Considering Density as Weighting Factor When Compositing Assay Grades and as Accumulated Variable on Mining Reconciliation 

Diaz, L.G. On smoothness measures for spacetime surfaces 

Diedrich, C Risk Analysis on Mining Planning and Reserves Assessment at a Brazilian Copper Mine. 

The Effect of Considering Density as Weighting Factor When Compositing Assay Grades and as Accumulated Variable on Mining Reconciliation 

Dillon, L. Geostatistical Inversion of Prestack Seismic Data 

Dimitrakopoulos, R. Approximations of HighOrder Spatial Statistics through Decomposition 

High order simulation of a faultcontrolled gold deposit using spatial cumulants. 

Patternbased geostatistical simulation using discrete wavelet transformation 

D'Or, D. Lateral offset stacked channels (LOSCs) simulations using a pseudogenetic approach 

Nonparametric diagrams for
plurigaussian simulations of lithologies


Douglas, I Applying Probability Constrained LIK in a Lowgrade, High Nugget Effect Gold Deposit 

Dovera, L. Sequential Simulations of Mixed DiscreteContinuous Properties: Sequential Gaussian Mixture Simulation 

Dowd, P A Extensions of the parametric inference of spatial covariances 

The edge effect in geostatistical simulations 

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

Dubois, G. Uncertainty in species distribution modelling ? the use of Mahalanobis distance 

Durrande, N. Distancebased Kriging relying on proxy simulations for inverse conditioning 

Eidsvik, J. Building Bayesian Networks from Basin Modeling scenarios for Decision Making under geologic uncertainty 
Top 
Block composite likelihood models for analysis of large spatial datasets 

Modelling dependencies between oil exploration prospects with Bayesian networks 

The value of imperfect borehole information in mineral resource evaluation


A Gaussian mixture Monte Carlo filter for state estimation in very high dimensional nonlinear systems 

Ellefmo, S. L. The value of imperfect borehole information in mineral resource evaluation


Emery, X. Sequential simulation with iterative methods 

A plurigaussian model for simulating regionalized compositions 

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


Erzeybek, S. MultiplePoint Statistics on a NonGridded Domain: Application to Karst/Fracture Network Modeling 

Fandiño, J. H. Bayesian Statistics Applied To Evaluation And Zoning Of The Land Surface Deformated. Case Study: Funza Town In Cundinamarca ï¿½ Colombia 
Top 
Farmer, Christopher L. From Numerical Rocks to Spatial Data Assimilation 

Fernandes, J. Construction of highresolution stochastic geological models and optimal upscaling to MODFLOW 

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

Fjellvoll, B. Using Multiple Grids in Markov Mesh Facies Modeling 

Flipo, N. Which relations between deterministic simulations and observations? 

Freulon, X Domaining by clustering multivariate geostatistical data 

Frigessi, A. Evaluation and Calibration of Dynamically Downscaled Precipitation over Norwegian Mainland 

Froidevaux, R. Nonparametric diagrams for
plurigaussian simulations of lithologies


Frykman, P. Reservoir modelling by combination of object model and SGS for the Ketzin CO2 injection pilot 

Galli, A Genetic Algorithms & Scenario Reduction 
Top 
Gálvez, I. A plurigaussian model for simulating regionalized compositions 

GARCIA, M. What about the practical implementation of geostatistics for contaminated sites and soils? 

GarciaFlores, Rodolfo A Comparison of Methods for Solving the Sensor Location Problem 

Gavriliouk, O A Comparison of Methods for Solving the Sensor Location Problem 

Ginsbourger, D. Distancebased Kriging relying on proxy simulations for inverse conditioning 

Glass, Hylke J. A Comparison of Geostatistical Techniques to Model Geological Uncertainty 

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

Bayesian Statistics Applied To Evaluation And Zoning Of The Land Surface Deformated. Case Study: Funza Town In Cundinamarca ï¿½ Colombia 

GómezHernández, J. J. Marginally nonGaussian Inverse Stochastic Modeling 

Goodfellow, R. C. Approximations of HighOrder Spatial Statistics through Decomposition 

Goto, J. Assessment of longterm volcanic hazard using a Cox process with assimilation of tectonic data and geophysics


Gräler, B. Modelling Dependence in Space and Time with Vine Copulas 

Grana, Dario Sequential Simulations of Mixed DiscreteContinuous Properties: Sequential Gaussian Mixture Simulation 

Gribov, Alexander New flexible nonparametric data transformation for transGaussian kriging 

Guerreiro, L. Geostatistical Inversion of Prestack Seismic Data 

Guimaraes, O.R.A. The Effect Of Information From Different Drill Holes Campaigns On The Resource And Reserves Estimation In A Brazilian Bauxite Mine 

Gunning, J S Some Newer Algorithms in Joint Categorical and Continuous Inversion Problems around Seismic Data 

Guttorp, P. Evaluation and Calibration of Dynamically Downscaled Precipitation over Norwegian Mainland 

Hardtke, W. Applying Probability Constrained LIK in a Lowgrade, High Nugget Effect Gold Deposit 
Top 
Harel, MA. 1D Runoff Production in the Light of Queueing Theory: Heterogeneity, Connectivity and Scale  

Haug, O. Evaluation and Calibration of Dynamically Downscaled Precipitation over Norwegian Mainland 

Hauge, R. Modelling dependencies between oil exploration prospects with Bayesian networks 

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

Hendricks Franssen, H.J. Marginally nonGaussian Inverse Stochastic Modeling 

Henriksen, A. Modeling and analysis of daily rainfall data 

HENRION, V. Estimation of most likely lithology map in the context of Truncated Gaussian techniques. 

Heuvelink, G. B. M. Uncertainty in species distribution modelling ? the use of Mahalanobis distance 

Honarkhah, M. Direct nonstationary multiplepoint modeling by distancebased pattern simulation 

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

Hosford Scheirer, A. Linking geostatistics with basin and petroleum system modeling: Assessment of spatial uncertainties 

Hosseini, A.H. Application of EnKF to Constrain Heavy Oil Reservoir Characterization to Temperature and Time Lapse Seismic Data 

Hu, L.Y. Updating multipoint simulations using the ensemble Kalman filter 

Huang, Y Efficient Conditional Simulation of Spatial Patterns Using a PatternGrowth Algorithm 

Humphreys, M. Comparative Study of Two Gaussian Simulation Algorithms, Boddington Gold Porphyry Deposit


Huseby, A.B. A Stochastic Model in Space and Time for Monthly Maximum Significant Wave Height 

Huysmans, Marijke Modeling the effect of clay drapes on pumping test response in a crossbedded aquifer using multiplepoint geostatistics 

Ingebrigtsen, R. Using Stochastic Partial Differential Equation Models for Spatial Reconstruction of Annual Precipitation 
Top 
Irarrazaval, I. Conditional simulation of realistic meandering channels using 1D multiplepoint simulations 

Janson, X. MultiplePoint Statistics on a NonGridded Domain: Application to Karst/Fracture Network Modeling 
Top 
Jaquet, Olivier Assessment of longterm volcanic hazard using a Cox process with assimilation of tectonic data and geophysics


JEANNEE, N. What about the practical implementation of geostatistics for contaminated sites and soils? 

Air quality mapping in urban areas: bridging the gap between background and near road pollution 

Jeong, C. Adaptive Spatial Resampling Applied to Seismic Inverse Modeling 

Jesmani, M. Use of Streamlines in Development and Application of a Linearized ReducedOrder Reservoir Model 

Jia, B. Linking geostatistics with basin and petroleum system modeling: Assessment of spatial uncertainties 

Julio, C. Accounting for seismic trends in stochastic well correlation 

Kanevski, M Using active learning for monitoring networks design: the example of wind power plants sites evaluation 
Top 
Reservoir modelling under uncertainty  a kernel learning approach 

Karlsen, H. A. Modeling and analysis of daily rainfall data 

Kaufman, Gordon A Retrospective: The Evolution of Discovery Process Modeling from 1958 to Now 

Kelly, B.F.J. Insights in paleoclimate variability through the variographic analysis of stalagmite time series 

Kemper, M Some Newer Algorithms in Joint Categorical and Continuous Inversion Problems around Seismic Data 

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

Khan, K.D. Modeling Nonstationary and Nonlinear Beta Probability Fields 

Kjønsberg, Heidi Using Multiple Grids in Markov Mesh Facies Modeling 

Kolbjørnsen, O. Using Multiple Grids in Markov Mesh Facies Modeling 

Koohmare Hosseini, B. Use of Streamlines in Development and Application of a Linearized ReducedOrder Reservoir Model 

Koppe, V The Effect of Considering Density as Weighting Factor When Compositing Assay Grades and as Accumulated Variable on Mining Reconciliation 

Krivoruchko, Konstantin New flexible nonparametric data transformation for transGaussian kriging 

Laaha, G. Comparing geostatistical models for river networks 

Interpolating runoffrelated variables with rtop 

Labourdette, R. Lateral offset stacked channels (LOSCs) simulations using a pseudogenetic approach 
Top 
LAGACHERIE, Ph. Cokriging for Large Spatial Datasets: Mapping Soil Properties at a Region Scale from Airborne Hyperspectral Imagery. 

Lallier, F. Accounting for seismic trends in stochastic well correlation 

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

Lantuéjoul, C. Conditional simulation of a positive random vectorsubject to maxlinear constraints. A geometric perspective. 

Assessment of longterm volcanic hazard using a Cox process with assimilation of tectonic data and geophysics


Iterative simulation of a Gaussian random vector: A propagative version of the Gibbs sampler 

Lee, DJ A Comparison of Methods for Solving the Sensor Location Problem 

Lemarchand, O. Air quality mapping in urban areas: bridging the gap between background and near road pollution 

Leon, F. Geostatistical Inversion of Prestack Seismic Data 

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


Létinois, L. Which relations between deterministic simulations and observations? 

Leuangthong, O. On Maximizing Spatial Entropy 

On the use of MultiGaussian Kriging for
Grade Domaining in Mineral Resource Characterization 

Li, L. Marginally nonGaussian Inverse Stochastic Modeling 

Ranking geostatistical reservoir models with modified connected hydrocarbon volume 

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

Lie, K.A. A Study on How TopSurface Morphology Influences the CO2 Storage Capacity 

Lillah, M Inference of 2D and 3D locally varying anisotropy fields for complex geological formations 

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

Lindberg, David Wavelet estimation in seismic convolved hidden Markov models 

Lindgren, F. Using Stochastic Partial Differential Equation Models for Spatial Reconstruction of Annual Precipitation 

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

LOPEZ, B Characterization of groundwater nitrate long term trends at regional scale
using statistical and geostatistical tools

Top 



