The purpose of the present paper is to show the application of geostatistical analysis to rock mass characterization, with the Masua Mine (Sardinia, Italy) being the case study. Following a brief description of geostatistical methods and use of 'Variograms' and 'Kriging', the criteria applied for quantification of rock mass properties are discussed. The analysis of rock mass data by geostatistical procedures allows one to infer the variability of rock quality such as defined by the RMR index. Additionally, the deformability and strength parameters are obtained for numerical modelling of mine structures. It is stated that the use of geostatistical methods such as 'Kriging' is more likely to reflect the expected rock mass mechanical behaviour...
This paper deals with the statistical and geostatistical analysis of drilling parameters for predict...
none5noThis paper deals with the statistical and geostatistical analysis of drilling parameters for ...
12th International IAEG Congress -- SEP 15-19, 2014 -- Torino, ITALYWOS: 000359016200152This paper i...
The forecast of geomechanical rock mass properties can be an important goal in civil and mining eng...
Geotechnical interpretation of drillholes for rock mass characterization is commonly based on the en...
A better characterization of complex rock masses is essential in geotechnical engineering, as the em...
This work aims to estimate the Rock Mass Rating of 200km2 area of the Italian Central Alps, along Sa...
Modelling a rock mass in an accurate and realistic way allows researchers to reduce the uncertainty ...
Modelling a rock mass in an accurate and realistic way allows researchers to reduce the uncertainty ...
This paper introduces a geostatistical approach for characterising the morphological and spatial var...
Numerical modeling techniques have been applied in many mining and civil engineering projects. Tradi...
In the mining industry there are several methods to predict how the rock mass will behave. One of th...
Abstract Geomechanical data are never sufficient in quantity or adequately precise and accurate for ...
The most important step in a feasibility study of a mining project is the determination of reserves ...
AbstractAn understanding of the relationship between the geological environment and rock mass behavi...
This paper deals with the statistical and geostatistical analysis of drilling parameters for predict...
none5noThis paper deals with the statistical and geostatistical analysis of drilling parameters for ...
12th International IAEG Congress -- SEP 15-19, 2014 -- Torino, ITALYWOS: 000359016200152This paper i...
The forecast of geomechanical rock mass properties can be an important goal in civil and mining eng...
Geotechnical interpretation of drillholes for rock mass characterization is commonly based on the en...
A better characterization of complex rock masses is essential in geotechnical engineering, as the em...
This work aims to estimate the Rock Mass Rating of 200km2 area of the Italian Central Alps, along Sa...
Modelling a rock mass in an accurate and realistic way allows researchers to reduce the uncertainty ...
Modelling a rock mass in an accurate and realistic way allows researchers to reduce the uncertainty ...
This paper introduces a geostatistical approach for characterising the morphological and spatial var...
Numerical modeling techniques have been applied in many mining and civil engineering projects. Tradi...
In the mining industry there are several methods to predict how the rock mass will behave. One of th...
Abstract Geomechanical data are never sufficient in quantity or adequately precise and accurate for ...
The most important step in a feasibility study of a mining project is the determination of reserves ...
AbstractAn understanding of the relationship between the geological environment and rock mass behavi...
This paper deals with the statistical and geostatistical analysis of drilling parameters for predict...
none5noThis paper deals with the statistical and geostatistical analysis of drilling parameters for ...
12th International IAEG Congress -- SEP 15-19, 2014 -- Torino, ITALYWOS: 000359016200152This paper i...