Automation of processing geological exploration results for kaolin deposits in geovia surpac environment

Abstract

One of the key prerequisites for the scientific validity of planning and the efficient execution of mining operations is the utilization of dependable mining-geometric data and the forecasts derived from it for the allocation of quality indicators during the creation of mining and technological plans. Predicted data have a substantial influence on the economic potential of deposit development. However, traditionally employed methods of mathematical and geometric modeling for the qualitative and structural parameters of complex geological deposits do not consistently yield the desired results. To solve this problem, a methodology for automating the result processing of geological exploration of kaolin deposits, taking into account the regularities of the distribution of chemical elements, is proposed. The issue of automating the processes of analysis, structuring, systematization, and visualization of the results of geological exploration is considered using the GIS environment GEOVIA Surpac as an example. The research is based on the information regarding the chemical composition of kaolin obtained from the geological study of the secondary kaolin Yosypivske deposit. The sequence of actions applied to enhance the level of automation and improve the quality of geological exploration results can be used for other deposits of this type. In addition, the work explores key aspects of modeling kaolin deposits, considering the spatial distribution of quality indicators.

Keywords

• primary kaolin
• quality indicators
• chemical composition