This book is an attempt to synthesize the practical experience gained by researchers from the Centre de Morphologie Mathematique in France and by mining engineers and geologists all over the world who contributed their ideas. It was designed for students and engineers who wished to apply geostatistics to practical problems occurring in the lifetime of a mine and for this reason was built around typical problems, progressing from the simplest to the most complicated - structural analysis, guiding exploration, estimation of in situ resources and recoverable reserves, numerical models of deposits, simulation of mining and homogenization processes, ore grade control in production. The techniques developed are illustrated by a large number of case studies and, as an aid to the reader, each chapter begins with a summary of the contents and there is a guide to the notation used.
What people are saying - Write a review
We haven't found any reviews in the usual places.
GEOSTATISTICS AND MINING APPLICATIONS
10 other sections not shown
Other editions - View all
anisotropy approximation arithmetic mean auxiliary functions available data blast-holes block calculated channel samples characterized cokriging conditional expectation conditional simulation considered coordinates core samples coregionalization corresponding covariance data configuration defined deposit dimensions direction distances h distribution domain drift drill cores drill-holes error example experimental histogram experimental semi-variogram formula geometric geostatistical given grid hole effect horizontal hypothesis isotropic kriging estimator kriging system kriging variance length linear combinations linear model located lognormal lognormal distribution matrix mean grade mean value method model y(h nested non-bias condition normal distribution nugget constant obtained panel parameters point model positive definite practice priori variance proportional effect pure nugget effect random variable range recovery regionalized variable regularized RF Z(x RF's semi-variogram y(h shown on Fig spatial spherical model stationary structural function subroutine theoretical three-dimensional three-dimensional space true grades turning bands units variogram vector h vertical weights zero Zk(x zone Zv(x