Authors:
Vladimir S. Morkun
1
;
Natalia Morkun
1
;
Vitalii Tron
2
;
Alona Haponenko
3
;
Iryna Haponenko
3
and
Evhen Bobrov
3
Affiliations:
1
Faculty of Engineering Sciences, Bayreuth University, Universitätsstraße, 30, Bayreuth, 95447, Germany
;
2
Department of Automation, Computer Science and Technology, Kryvyi Rih National University, 11 Vitalii Matusevych Str., Kryvyi Rih, 50027, Ukraine
;
3
Research Department, Kryvyi Rih National University, 11 Vitalii Matusevych Str., Kryvyi Rih, 50027, Ukraine
Keyword(s):
Drilling, Vibration, Monitoring, Automatization, Ore, Mining.
Abstract:
The research is aimed at monitoring drill string vibrations as an element of automatic control of the drilling process. To reduce negative impacts of vibrations occurring in the drill string at deep drilling of hard rocks, a mathematical model is proposed to consider parameters of the drilling process and predict the penetration rate. The following parameters are used as input variables when studying drilling data: weight-on-bit, rotations per minute, torque, mechanical specific energy, longitudinal, transverse and torsional vibrations. In this study, the rate of penetration is used as a resulting variable. Considering these parameters, a mathematical model of the drilling process is formed on the basis of adaptive neural-fuzzy inference structures. The accuracy of this model is 95.56 %.