AbstractDatabases usually consist of information drawn from drill hole and similar data. These data very often present some problems which can be solved by using mathematical and geostatistical methods. The present paper deals with the problems of estimating the proportions of lithological types within selective mining units, the problem ofan addition of new drill-holes in an explored deposit and the results in the estimation of its quality or quantity and the problem of safe sampling of gold deposits (sentence is too long). For the first issue, the paper gives an overview of how indicator kriging can be used to make estimates of the proportions of the various lithology within blocks of ground, given the lithology's occurring in the samples...
International audienceTransitive methods were developed to estimate the global in situ resources of ...
In planning a mining operation, the geologic model of the orebody forms the basis for the layout of ...
Mine planning primarily depends, among many, on a thorough knowledge of the spatial distribution of ...
Abstract: This paper describes the geostatistical evaluation of a disseminated nickel or body which ...
The Southern Tail zone of Equity Silver Mines, Sam Goosly silver-copper deposit presents an interest...
The Southern Tail zone of Equity Silver Mines, Sam Goosly silver-copper deposit presents an interest...
A project report submitted to the Faculty of Engineering, University of the Witwatersrand. Johannes...
The competition in the world market for iron ore has increased lately. Therefore, an improved method...
In mining practices, the life of every mine begins with resource estimation and predicting the poss...
This paper demonstrates the application of geostatistical techniques to the design of optimum drilli...
In August 1882, the Morgan brothers recognised a mineral deposit, now known as the Mount Morgan Gold...
Resource-estimation methods fall into two categories: conventional and geostatistical. The choice of...
Resource-estimation methods fall into two categories: conventional and geostatistical. The choice of...
The most important step in a feasibility study of a mining project is the determination of reserves ...
Mineral resource estimation is a highly skilled activity that is critical to the successful developm...
International audienceTransitive methods were developed to estimate the global in situ resources of ...
In planning a mining operation, the geologic model of the orebody forms the basis for the layout of ...
Mine planning primarily depends, among many, on a thorough knowledge of the spatial distribution of ...
Abstract: This paper describes the geostatistical evaluation of a disseminated nickel or body which ...
The Southern Tail zone of Equity Silver Mines, Sam Goosly silver-copper deposit presents an interest...
The Southern Tail zone of Equity Silver Mines, Sam Goosly silver-copper deposit presents an interest...
A project report submitted to the Faculty of Engineering, University of the Witwatersrand. Johannes...
The competition in the world market for iron ore has increased lately. Therefore, an improved method...
In mining practices, the life of every mine begins with resource estimation and predicting the poss...
This paper demonstrates the application of geostatistical techniques to the design of optimum drilli...
In August 1882, the Morgan brothers recognised a mineral deposit, now known as the Mount Morgan Gold...
Resource-estimation methods fall into two categories: conventional and geostatistical. The choice of...
Resource-estimation methods fall into two categories: conventional and geostatistical. The choice of...
The most important step in a feasibility study of a mining project is the determination of reserves ...
Mineral resource estimation is a highly skilled activity that is critical to the successful developm...
International audienceTransitive methods were developed to estimate the global in situ resources of ...
In planning a mining operation, the geologic model of the orebody forms the basis for the layout of ...
Mine planning primarily depends, among many, on a thorough knowledge of the spatial distribution of ...