Syllabus - Geostatistics (MI802 (B))

Introduction to Classical statistics, Histrograms, mean, median, mode, skewness, Kurtosis, standard deviation, variance, confidence interval, normal and lognormal distribution.

Different types of mineral reserves, estimation of grade and reserves, Different techniques of grade estimation, rule of nearest point , constant distance weighting technique and inverse distance weighting technique, method of triangles and polygonal method, bench compositing.

Introduction to Geostastistics, theory of reigonalised variable, application of Geostastistics in mining, Covariogram and semivariogram, definitions and their estimation, Parameters of semivariogram, sill variance, nugget effect, range of influence, zonal and directional anisotropy.

Mathematical representations of semivariogram and covariogram, Semivariogram models and their characterics, calculation, plotting and fitting of experimental semivariogram.

Volume-Variance relationship, Extension variance and estimation variance, optimal valuation and kriging, Kriging estimator and kriging error, Kriging of a square block valued by two samples, Grade tonnage relationship.