DBPapers

PROCESS CONTROL BY ROTARY DRILLING WITH EXPLOATION OF ARTIFICIAL INTELLIGENCE METHODS

AUTHOR/S: I. LESSO, P. HOROVCAK, P. FLEGNER, B. PANDULA
Sunday 1 August 2010 by Libadmin2008

8th International Scientific Conference - SGEM2008, www.sgem.org, SGEM2008 Conference Proceedings/ ISBN: 954-918181-2, June 16-20, 2008, Vol. 1, 505-512 pp

ABSTRACT

The process of rock massif separation with the method of rotary drilling is a dominant
process in geotechnology and in subterranean raw material mining. The type of drilling
tool used and the mode of drilling with given properties of the rock are crucial in the
determination of energy efficiency of this process. The research is directed toward
classification of rocks into classes (pattern classification) according to geomechanical
properties and the determination of efficient mode of drilling for individual defined
classes. Further, methods are being developed based on pattern recognition for the
recognition of the class of the rock being separated on the basis of information
contained in the accompanying vibro-acoustic emissions. The required solutions are
based on methods of artificial intelligence. The key method is the method of vector
quantisation and Kohonen self-organizing maps.

Keywords: geotechnics, process control, rotary drilling, rock massive, spectrum of concurrent acoustic signal, process identification, optimal drilling mode