All Lessons

Lessons are organized here by their primary classification. Many lessons could fall under multiple headings below.

Methodology

• An Application of Bayes Theorem to Geostatistical Mapping (see source code on GitHub)
• Combination of Multivariate Gaussian Distributions through Error Ellipses
• Bayesian Updating for Combining Conditional Distributions
• Locally Varying Anisotropy
• The Multivariate Spatial Bootstrap
• A Simulation Approach to Calibrate Outlier Capping
• The Decision of Stationarity
• The Nugget Effect (see source code on GitHub)
• Multivariate Gaussian Distribution

Data Management

• The Angle Specification for GSLIB Software

Data Transformation

• Stratigraphic Coordinate Transformation
• Trend Modeling and Modeling with a Trend (see source code on GitHub)
• Transforming Data to a Gaussian Distribution
• Sphereing and Min/Max Autocorrelation Factors

Representative Distributions

• Cell Declustering Parameter Selection
• Categorical Variable Distributions in Geostatistics

Multivariate Statistics

• Gaussian Mixture Models
• Cokriging with Unequally Sampled Data
• Aggregating Variables into a Super Secondary Variable
• Principal Component Analysis
• Multidimensional Scaling (see source code on GitHub)
• Projection Pursuit Multivariate Transform

Variograms

• The Pairwise Relative Variogram (see source code on GitHub)
• Experimental Variogram Tolerance Parameters
• Calculation and Modeling of Variogram Anisotropy
• The Sill of the Variogram
• Variogram Calculation for Tabular Deposits
• Transforming a Variogram of Normal Scores to Original Units

Estimation

• Signed Distance Function Modeling with Multiple Categories
• Implicit Boundary Modeling with Radial Basis Functions
• Introduction to Choosing a Kriging Plan (see source code on GitHub)
• Kriging with Constraints
• Quantitative Kriging Neighborhood Analysis (QKNA)
• Choosing the Discretization Level for Block Property Estimation
• Collocated Cokriging (see source code on GitHub)
• Kriging Weights in the Presence of Redundant Data
• An Overview of Multiple Indicator Kriging

Categorical Simulation

• Permanence of Ratios
• Sequential Indicator Simulation (SIS)

Continuous Simulation

• Conditioning by Kriging

Post Processing

• Decision Making in the Presence of Geological Uncertainty

Mining Applications

• Calculation of High Resolution Data Spacing Models
• Localization of Probabilistic Resource Models
• Change of Support and the Volume Variance Relation
• Checking Continuous Variable Realizations - Mining

Petroleum Applications