Geostatistical developed by Prof. George Matheron in 1960, has been widely applied in the mining industry. Geostatistics is used to evaluate mineral resources and do modeling. Methods of geo-spatial statistical consideration represented by the variogram model estimation methods such as polygonal, triangular grouping, the inverse square of distance, the nearest point, etc. In addition, variogram model parameters can also be used to optimize the drilling pattern or as a means of determining the area of sample points.
While Kriging method which is a geo-statistical methods of the most well-known, widely used for reserve estimation, and has been known as the BLUE (Best Linear Unbiased Estimator). Beside Kriging method, there are also other methods of geo-statistics that are used to perform spatial characterization and modeling of natural resources such as conditional simulation. Geo-statistics also can utilize to evaluate the classification of mineral reserves.
- Understand the concept of regionalized variables, namely the principle of geo-statistical methods, analysis and interpretation of the variogram.
- Understand the principles of kriging method and its application to resource modeling and reserve estimation.
- the introduction of the principle of geo-statistical simulation and its application in the evaluation of natural resources.
- Definitions and statistical applications in mining
- The concept of regionalized variables and experimental variogram
- Analysis of the model and its interpretation variogaram
- The method of estimation of reserves of conventional
- Variants dispersion and variance estimation
- Principle kriging method and its application
- Introduction of deterministic methods
- Simulation and Analysis of geo-statistical uncertainty
- Classification of Reserves is based on geo-statistical methods
- Case study