Ninth International Geostatistics Congress, Oslo, Norway
June 11 – 15, 2012
 
 
 
 
 
 
 

Author Index

A

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

Q

R

S

T

U

V

W

X

Y

Z

Machado, R.S.
Field Parametric Geostatistics - a rigorous theory to solve problems of highly skewed distributions
 
Machuca-Mory, D. F.
High order simulation of a fault-controlled 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, Vale-Brazil
 
MAISONNEUVE, F.
Conditional simulation of a positive random vectorsubject to max-linear 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.
Micro-Modeling for Enhanced Small Scale Porosity-Permeability 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 multiple-point statistics
 
Insights in paleoclimate variability through the variographic analysis of stalagmite time series  
Conditional simulation of realistic meandering channels using 1D multiple-point simulations  
Guidelines to Perform Multiple-Point 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, Vale-Brazil
 
Mateu, J.M.
On smoothness measures for space-time surfaces
 
Maucec, M.
Grid-less 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 multiple-point statistics  
McHargue, T.
Event-based 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 Multiple-Point Statistical Simulations with the Direct Sampling Algorithm
 
MÚheut, 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
Co-kriging 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 Discrete-Continuous Properties: Sequential Gaussian Mixture Simulation  
Distance based sensitivity analysis for join inversion of time-lapse 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 High-Order Spatial Statistics through Decomposition
 
Natvig, B.
A Stochastic Model in Space and Time for Monthly Maximum Significant Wave Height

Top

Neufeld, C.
Micro-Modeling for Enhanced Small Scale Porosity-Permeability Relationships
 
Neumann, K. B.
Uncertainty study on in-place volumes in Statoil
 
Nilsen, H.M.
A Study on How Top-Surface Morphology Influences the CO2 Storage Capacity
 
Niven, E.
Micro-Modeling for Enhanced Small Scale Porosity-Permeability Relationships
 
Non-Random Discrete Fracture Network Modelling  
Noronha, R
Combined use of lithological and grade simulations for risk analysis in iron ore, Vale-Brazil
 
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 skew-normal 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.
Multiple-point Geostatistical Simulation based on Genetic Algorithms implemented in a Shared-Memory Supercomputer
 
Parallel implementation of multiple-point simulation based on texture synthesis  
Osadetz, K.G.
Play resource evaluation and geological risk assessment with model-based stochastic simulation with applications to unconventional oil plays in WCSB
 
Osmundsen, I. K.
Uncertainty study on in-place volumes in Statoil
 
Parajka, J.
Interpolating runoff-related variables with rtop

Top

Pardo-Iguzquiza, E.
Extensions of the parametric inference of spatial covariances
 
Park, H.
History matching under uncertain geological scenario
 
PARRA, A.
Parallel implementation of multiple-point 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 runoff-related variables with rtop  
Pelßez , M.
Sequential simulation with iterative methods
 
Peredo, O.
Multiple-point Geostatistical Simulation based on Genetic Algorithms implemented in a Shared-Memory 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 Multiple-Point Statistical Simulations with the Direct Sampling Algorithm
 
Simulating braided river aquifer heterogeneity using a pseudo-genetic approach and multiple-points geostatistics  
Distance-based Kriging relying on proxy simulations for inverse conditioning  
PIVOT, F.
Estimation of most likely lithology map in the context of Truncated Gaussian techniques.
 
Polus-Lefebvre, 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 Multiple-Point Statistics
 
Event-based Geostatistical Modeling: Description and Applications  
Quental, P.
Construction of high-resolution 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 multiple-point statistics
 
Conditional simulation of realistic meandering channels using 1D multiple-point simulations  
Guidelines to Perform Multiple-Point Statistical Simulations with the Direct Sampling Algorithm  
Simulating braided river aquifer heterogeneity using a pseudo-genetic approach and multiple-points geostatistics  
Distance-based 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, Vale-Brazil
 
Multidirectional Random Walk: An Alternative to Local Simulation of Gaussian Data  
Rimstad, Kjartan
Seismic AVO inversion using the closed skew-normal 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, Vale-Brazil
 
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.
Distance-based 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
 
SŠtrom, 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 ´┐Ż Colombia
 
Satija, A
Sampling high-dimensional 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 high-dimensional 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 Voronoi-classifiers 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.
Grid-less Modeling of Reservoir Properties with Maximum Continuity Field Interpolation
 
Ranking geostatistical reservoir models with modified connected hydrocarbon volume  
Sim§es, M.
Construction of high-resolution stochastic geological models and optimal upscaling to MODFLOW
 
Simpson, D. P.
The use of systems of stochastic PDEs as priors in seismic AVA inversion
 
Sinding-Larsen, 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.  
Sk°ien, J.O.
Uncertainty in species distribution modelling ? the use of Mahalanobis distance
 
Comparing geostatistical models for river networks  
Sk°ien, Jon Olav
Interpolating runoff-related variables with rtop
 
Soares, A.
Uncertainty Quantification For History-Matching Of Non-Stationary 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 trans-Gaussian kriging
 
Srinivasan, S
Multiscale Modeling of Fracture Network in a Carbonate Reservoir
 
Efficient Conditional Simulation of Spatial Patterns Using a Pattern-Growth Algorithm  
Uncertainty Quantification and Feedback Control using a Model Selection Approach ? Application to a Polymer Flooding Process  
Multiple-Point Statistics on a Non-Gridded 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 Instant-Scratch 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 Multiple-Point Statistics Simulations
 
Guidelines to Perform Multiple-Point Statistical Simulations with the Direct Sampling Algorithm  
Simulating braided river aquifer heterogeneity using a pseudo-genetic approach and multiple-points geostatistics  
Strebelle, S
Simulation of Petrophysical Property Trends within Facies Geobodies Modeled Using Multiple-Point Statistics
 
Event-based Geostatistical Modeling: Description and Applications  
Multiple-Point Geostatistics: from Theory to Practice  
Sullivan, M.
Event-based Geostatistical Modeling: Description and Applications
 
Suman, Amit
Distance based sensitivity analysis for join inversion of time-lapse and production data of Norne field
 
Suzuki, S.
Distance-based Characterization of Subgrid-scale Dynamic Flow Behavior for Multi-phase Flow Upscaling
 
Syversveen, A.R.
A Study on How Top-Surface Morphology Influences the CO2 Storage Capacity
 
Tjelmeland, H.
Construction of binary multi-grid 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 multi-grid 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

Trivi˝o, M
Bayesian Statistics Applied To Evaluation And Zoning Of The Land Surface Deformated. Case Study: Funza Town In Cundinamarca ´┐Ż Colombia
 
Tuia, D
Using active learning for monitoring networks design: the example of wind power plants sites evaluation
 
Tveranger, J.
A Study on How Top-Surface 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 Low-grade, 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 Multiple-Point 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
Non-MultiGaussian Multivariate Simulations with Guaranteed Reproduction of Inter-Variable Correlations
 
Vantini, S.
Bagging Voronoi-classifiers for clustering spatial functional data
 
Vargas-Guzman, 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 runoff-related variables with rtop
 
Vincent, A
Genetic Algorithms & Scenario Reduction
 
Vitelli, V.
Bagging Voronoi-classifiers for clustering spatial functional data
 
Walgenwitz, A.
Mixing Tree and List Structures for Multiple-Point Statistics Simulations

Top

WALKER, E.
Cokriging for Large Spatial Datasets: Mapping Soil Properties at a Region Scale from Airborne Hyperspectral Imagery.
 
Ward, Clint C
Co-kriging 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

Grid-less Modeling of Reservoir Properties with Maximum Continuity Field Interpolation  
Yin, Yanshu
A New Stochastic Modeling Method for the 3-D 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 3-D Forecasting of IHS in Point Bar of Sinuous Channel
 
Play resource evaluation and geological risk assessment with model-based stochastic simulation with applications to unconventional oil plays in WCSB  
Zhao, Y.
Updating multipoint simulations using the ensemble Kalman filter
 
Zhou, H.
Marginally non-Gaussian Inverse Stochastic Modeling
 

 

 


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