Author(s)

Madjoyogo Herve Sirima^1*, Betaboale Naon², Issa Compaore³

¹Institute of Industrial and Textile Systems Engineering, Polytechnic High School of Ouagadougou, Ouagadougou, Burkina Faso.
²Group of Studies and Research in Mechanics, Energy and Industrial Techniques, University Institute of Technology, Nazi Boni University, Bobo-Dioulasso, Burkina Faso.
³Cooperative Mining, Gaoua, Burkina Faso.

The optimization system, which was the subject of our study, is an autonomous chain for the automatic management of cyanide consumption. It is in the phase of industrial automation which made it possible to use the machines in order to reduce the workload of the worker while keeping a high productivity and a quality in great demand. Furthermore, the use of cyanide in leaching tanks is a necessity in the gold recovery process. This consumption of cyanide must be optimal in these tanks in order to have a good recovery while controlling the concentration of cyanide. Cyanide is one of the most expensive products for mining companies. On a completely different note, we see huge variations during the addition of cyanide. Following a recommendation from the metallurgical and operations teams, the control team carried out an analysis of the problem while proposing a solution to reduce the variability around plus or minus 10% of the addition setpoint through automation. It should be noted that this automatic optimization by monitoring the concentration of cyanide, made use of industrial automation which is a technique which ensures the operation of the ore processing chain without human intervention. In other words, it made it possible to substitute a machine for man. So, this leads us to conduct a study on concentration levels in the real world. The results show that the analysis of the modeling of the cyanide consumption optimization system is an appropriate solution to eradicate failures in the mineral processing chain. The trend curves demonstrate this resolution perfectly.

Modeling, Automatic Optimization, Cyanide Concentration, Optimal Ore Processing

Sirima, M. , Naon, B. and Compaore, I. (2023) Modeling of an Automatic Optimization System of Cyanide Concentration in Carbon in Leach for Optimal Ore Processing in a Mining Company. Energy and Power Engineering, 15, 443-456. doi: 10.4236/epe.2023.1511024.