Geostatistics Oslo 2012
(Sprache: Englisch)
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:...
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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, Climate and Hydrology. The first section focuses on new ideas of general interest to many fields of applications. The next sections are more focused on the particular needs of the particular industry or activity. Geostatistics is vital to any industry dependent on natural resources. Methods from geostatistics are used for estimating reserves, quantifying economical risk and planning of future industrial operations. Geostatistics is also an important tool for mapping environmental hazard and integrating climate data.
Inhaltsverzeichnis zu „Geostatistics Oslo 2012 “
ForewordPreface
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
... mehr
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
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
... weniger
Bibliographische Angaben
- 2012, 576 Seiten, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Petter Abrahamsen, Odd Kolbjørnsen, Ragnar Hauge
- Verlag: Springer Netherlands
- ISBN-10: 9400741529
- ISBN-13: 9789400741522
- Erscheinungsdatum: 09.05.2012
Sprache:
Englisch
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