Leuangthong O., Khan D., Deutsch C.V. Solved problems in geostatistics

John Wiley & Sons, 2008. – 161 p. – ISBN: 978-0-470-17792-1Reliable application of geostatistics for modeling regionalized variables requires knowledge about geostatistics and a lot of practice. There are many styles of learning, but a common thread is that people learn by working through problems. This book provides a set of problems that outline the central themes of geostatistics with worked solutions. Our hope is that this collection of problems will help students gain familiarity with the overarching principles, the common applications, and some of the intricate details of this rich subject.Preface and AcknowledgmentsPlan of this Book
The Premise of Geostatistics
Nomenclature
Getting Comfortable with Probabilities
Parametric Probability Distributions
Variance of Linear Combinations
Standardization and Probability Intervals
Obtaining Representative Distributions
Basic Declustering
Debiasing with Bivariate Gaussian Distribution
Comparison of Declustering Methods
Monte Carlo Simulation
Impact of the Central Limit Theorem
Bootstrap and Spatial Bootstrap
Transfer of Uncertainty
Variograms and Volume Variance
Geometric Anisotropy
Variogram Calculation
Variogram Modeling and Volume Variance
Kriging
Stationary Kriging
Nonstationary Kriging
Screening Effect of Kriging
Gaussian Simulation
Bivariate Gaussian Distribution
Conditioning by Kriging
Gaussian Simulation
Indicators
Variogram of Objects
Indicator Variograms and the Gaussian Distribution
Indicator Simulation for Categorical Data
Multiple Variables
Linear Model of Coregionalization
Gaussian Cosimulation
Multiscale Cokriging
Special Topics
Decision Making in the Presence of Uncertainty
Trend Model Construction
Multiple Point Statistics
Closing Remarks
Bibliography
Index