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Geostatistics Oslo 2012 (eBook)

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2012 | 2012
XIV, 559 Seiten
Springer Netherland (Verlag)
978-94-007-4153-9 (ISBN)

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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.


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.

ForewordPreface AcknowledgementsPart I TheorySequential 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 CompositionsNew Flexible Non-parametric Data Transformation for Trans-Gaussian Kriging Revisiting the Linear Model of CoregionalisationModeling Nonlinear Beta Probability FieldsApproximations of High-Order Spatial Statistics through DecompositionMultiple-Point Geostatistical Simulation Based on Genetic Algorithms Implemented in a Shared-Memory SupercomputerThe Edge Effect in Geostatistical SimulationsExtensions of the Parametric Inference of Spatial Covariances by Maximum Likelihood Part II PetroleumConstraining a Heavy Oil Reservoir to Temperature and Time Lapse Seismic Data Using the EnKFMicro-Modeling for Enhanced Small Scale Porosity-Permeability RelationshipsApplications of Data Coherency for Data Analysis and Geological Zonation Multiscale Modeling of Fracture Network in a Carbonate ReservoirUncertainty Quantification and Feedback Control Using a Model Selection Approach Applied to a Polymer Flooding ProcessEfficient Conditional Simulation of Spatial Patterns Using a Pattern-Growth AlgorithmMultiple-Point Statistics in a Non-Gridded Domain: Application to Karst/Fracture Network ModelingSequential Simulations of Mixed Discrete-Continuous Properties: Sequential Gaussian Mixture SimulationAccounting for Seismic Trends in Stochastic Well CorrelationSome Newer Algorithms in Joint Categorical and Continuous Inversion Problems around Seismic DataNon-Random Discrete Fracture Network Modelling Part III MiningKriging and Simulation in Presence of Stationary Domains:Developments in Boundary ModelingAssessing Uncertainty in Recovery Functions: A Practical ApproachComparative Study of Localized Block Simulations and Localized Uniform Conditioning in the Multivariate CaseApplication of Stochastic Simulations and Quantifying Uncertainties in the Drilling of Roll Front Uranium DepositsMultivariate Estimation using Log Ratios: A Worked AlternativeMeasuring the Impact of the Change of Support and Information Effect at Olympic DamComparative Study of Two Gaussian Simulation Algorithms, Boddington Gold Deposit Non-multi-Gaussian Multivariate Simulations with Guaranteed Reproduction of Inter-Variable CorrelationsField Parametric Geostatistics—a Rigorous Theory to Solve Problems of Highly Skewed DistributionsMultiple-Point Geostatistics for Modeling Lithological Domains at a Brazilian Iron Ore Deposit Using the Single Normal EquationsSimulation AlgorithmPractical Implementation of Non-Linear Transforms for Modeling Geometallurgical VariablesCombined Use of Lithological and Grade Simulations for Risk Analysis in Iron Ore, BrazilThe Use of Geostatistical Simulation to Optimize the Homogenization and Blending StrategiesPlurigaussian Simulations Used to Analyze the Uncertainty in Resources Estimation from a Lateritic Nickel DepositDomaining by Clustering Multivariate Geostatistical DataThe Influence of Geostatistical Techniques on Geological Uncertainty  Part IV Environmental, Climate and HydrologyA Study on How Top-Surface Morphology Influences the Storage Capacity of CO2 in Saline AquifersModeling and Analysis of Daily Rainfall DataA Stochastic Model in Space and Time for Monthly Maximum Significant Wave HeightInterpolation of Concentration Measurements by Kriging Using Flow CoordinatesA Comparison of Methods for Solving the Sensor Location ProblemComparing Geostatistical Models for River NetworksAuthor IndexSubject Index

Erscheint lt. Verlag 8.5.2012
Reihe/Serie Quantitative Geology and Geostatistics
Quantitative Geology and Geostatistics
Zusatzinfo XIV, 559 p.
Verlagsort Dordrecht
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Statistik
Naturwissenschaften Geowissenschaften Geologie
Naturwissenschaften Geowissenschaften Mineralogie / Paläontologie
Technik
Schlagworte Geostatistics • Geostatistics 2012 • Kriging • Oslo 2012 • random fields • spatial statistics
ISBN-10 94-007-4153-7 / 9400741537
ISBN-13 978-94-007-4153-9 / 9789400741539
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