When planning workings of slate extraction by mechanical means, it is
important to know the quality of the rock mass to optimize the results
of the cuttings in the extraction bank, because techniques to be used
depend on relative percent of first quality or second quality slate.
In this paper, a methodology for quality evaluation applied to slate e
xtraction is developed in three phases, as a tool of support to the pl
anning. The first phase consists of defining the geotechnical paramete
rs that affect the bank and to appraise them in the visible faces. The
second phase consists of applying multivariate statistical techniques
related to discriminant analysis data to evaluate a quality function.
This function can be seen as a recovery index of the slate mass, bein
g its variance intervals established in the analyzed faces. The third
phase consists of a forecast of the values of the index from visible f
aces to the inside of the extraction bank, using geostatistics to eval
uate the quality of the mass and to plan the mechanical cutting works,
in order to get the best results. (C) 1997 Elsevier Science B.V.