Geostatistics Oslo 2012

Book Overview

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 fo

• Format: Paperback
• Language: English
• ISBN: 9400795963
• ISBN13: 9789400795969
• Release Date: June 2014
• Publisher: Springer
• Length: 559 Pages
• Weight: 1.75 lbs.
• Dimensions: 1.2" x 6.1" x 9.2"