Geostatistics Oslo 2012
This book consists of 44 technical papers presented at the Ninth International Geostatistics Congress held in Oslo, Norway in June 2012. The papers have been reviewed by a panel of specialists in Geostatistics. The book is divided into four main sections: Theory; Petroleum; Mining; and Environment,...
Συγγραφή απο Οργανισμό/Αρχή: | |
---|---|
Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Dordrecht :
Springer Netherlands,
2012.
|
Σειρά: | Quantitative Geology and Geostatistics,
17 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.