Geostatistics Oslo 2012

<p>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 CO₂ 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.</p>