Geostatistics Oslo 2012

Foreword. - Preface. - Acknowledgements. -
Part I Theory. -
Sequential simulation with iterative methods . - Applications of randomized methods for decomposing and simulating from large covariance matrices. - Event-based geostatistical modeling: description and applications. - A plurigaussian model for simulating regionalized compositions. - New flexible non-parametric data transformation for trans-Gaussian kriging . - Revisiting the linear model of coregionalisation. - Modeling nonlinear beta probability fields. - Approximations of high-order spatial statistics through decomposition. - Multiple-point geostatistical simulation based on genetic algorithms implemented in a shared-memory supercomputer. - The edge effect in geostatistical simulations. - Extensions of the parametric inference of spatial covariances by maximum likelihood. -
Part II Petroleum. -
Constraining a heavy oil reservoir to temperature and time lapse seismic data using the EnKF. - Micro-modeling for enhanced small scale porosity-permeability relationships. - Applications of data coherency for data analysis and geological zonation . - Multiscale modeling of fracture network in a carbonate reservoir. - Uncertainty quantification and feedback control using a model selection approach applied to a polymer flooding process. - Efficient conditional simulation of spatial patterns using a pattern-growth algorithm. - Multiple-point statistics in a non-gridded domain: application to karst/fracture network modeling. - Sequential simulations of mixed discrete-continuous properties: sequential Gaussian mixture simulation. - Accounting for seismic trends in stochastic well correlation. - Some newer algorithms in joint categorical and continuous inversion problems around seismic data. - Non-random discrete fracture network modelling. -
Part III Mining. -
Kriging and simulation in presence of stationary domains:. - Developments in boundary modeling. - Assessing uncertainty in recovery functions: a practical approach. - Comparative study of localized block simulations and localized uniform conditioning in the multivariate case. - Application of stochastic simulations and quantifying uncertainties in the drilling of roll front uranium deposits. - Multivariate estimation using log ratios: a worked alternative. - Measuring the impact of the change of support and information effect at olympic dam. - Comparative study of two gaussian simulation algorithms, Boddington gold deposit . - Non-multi-gaussian multivariate simulations with guaranteed reproduction of inter-variable correlations. - Field parametric geostatistics a rigorous theory to solve problems of highly skewed distributions. - Multiple-point geostatistics for modeling lithological domains at a Brazilian iron ore deposit using the single normal equations simulation algorithm. - Practical implementation of non-linear transforms for modeling geometallurgical variables. - Combined use of lithological and grade simulations for risk analysis in iron ore, Brazil. - The use of geostatistical simulation to optimize the homogenization and blending strategies. - Plurigaussian simulations used to analyze the uncertainty in resources estimation from a lateritic nickel deposit. - Domaining by clustering multivariate geostatistical data. - The influence of geostatistical techniques on geological uncertainty . -
Part IV Environmental, climate and hydrology. -
A study on how top-surface morphology influences the storage capacity of CO
₂
in saline aquifers. - Modeling and analysis of daily rainfall data. - A stochastic model in space and time for monthly maximum significant wave height. - Interpolation of concentration measurements by kriging using flow coordinates. - A comparison of methods for solving the sensor location problem. - Comparing geostatistical models for river networks. - Author index. - Subject index.