Ninth International Geostatistics Congress, Oslo, Norway
June 11 – 15, 2012
 
 
 
 
 
 
 

No Paper Available

Session:

Mining 5

Abstract No.:

O-085

Title:

Domaining by clustering multivariate geostatistical data

Author(s):

Thomas Romary, Mines ParisTech (FR)
J Rivoirard, Mines ParisTech (FR)
J Deraisme, Geovariances (FR)
X Freulon, AREVA (FR)
C Quinones, AREVA (FR)

Abstract:

Domaining is very often a complex and time-consuming process in mining assessment. Apart from the further delineation of envelopes, a significant number of parameters (lithology, alteration, grades?) are to be combined in order to characterize domains or sub domains. This rapidly leads to a huge combinatory. Hopefully the number of domains should be limited, while ensuring their connectivity as well as the stationarity of the variables within each domain. In order to achieve this goal, different methods for the spatial clustering of multivariate data are explored and compared. A particular emphasis is placed on the ways to modify existing procedures of clustering in non spatial settings to enforce the spatial connectivity of the resulting clusters. K-means, spectral methods and EM-based algorithms are reviewed. The methods are illustrated on mining data.

   

 

 


    Copyright 2012 International Geostatistics Congress
 

Produced by X-CD Technologies Inc.