B.Tech IV Year I Semester (R16)
To introduce and differentiate the classical statistics and geostatistics for
precise resource evaluation, reserve calculations and ore body modelling as important components of mining operations.
Students understand the procedures for sampling, estimation reserves of
mineral resources and ore body modelling using geostatistics as outcome of this course, which is highly beneficial for the mining engineers for mine planning and development of mine.
Introduction to geostatistics and statistical estimates using population and samples; Concept of Random variables; Probability and Lognormal distribution. Basics of Geostatistics: Regionalised variable and data analyses
Semi-variogram and variance estimation: Calculation of experimental semi-variograms; Mathematical models of semi-variogram and application in mineral exploration. Extension, Estimation Variance and Dispersion variance
Introduction to Kriging: Linear, Ordinary, and Simple kriging; solving kriging system of equations for Point and Block Kriged Estimates and Kriging Variance with some examples number of samples. nugget effect. Influence of Nugget effect on kriging weights; Properties of kriging.
Geostatistical evaluation of mineraldeposits, orebodymodelling, calculation of mineral resource inventory, grade-tonnage relationships, role of kriging variance in optimization of exploration drilling and misclassified tonnages.
Loading Question Papers
Fetching data from database...