The present study is focused on spatial modelling of a kaolin deposit in Karlovy Vary, Czech Republic, and the methodical procedure of development, evaluation and visualization of a 3D model are described step by step. The implementation of this methodology is performed in Visual Studio 2019 with use of the Surfer and Voxler objects from Golden Software. This methodology combined with the newly developed software (Kaolin_A and Kaolin_Viz programs) allow a user to create a variant dynamic model for the same or similar types of deposits. It enables a quick update of the model when changing the input data, based on the new mining exploration or when changing the modelling parameters. The presented approach leads to a more advanced evaluation of deposits, including various estimates of reserves according to pre-specified usability conditions. The efficiency of the developed methodology and the software for the evaluation of the deposit are demonstrated on the kaolin deposit Jimlíkov-East, located near the village Jimlíkov about 5 km west of Karlovy Vary in the Czech Republic.

This paper focuses on research within the project TE02000029 Competence Centre for Effective and Ecological Mining of Mineral Resources, granted by The Technology Agency of the Czech Republic, and, more specifically, on the research within its work package WP4 – Spatial modelling of mineral deposits. The focus of this work package is digital modelling of selected non-energetic raw materials, which belong to the critical commodities, as defined by the European Union. For modelling these deposits, suitable mathematical procedures, based on study and re-evaluation of archived data, are needed. One of the selected deposits is a kaolin deposit near the village Jimlíkov near the city Karlovy Vary. In this paper, we show a step-by-step procedure for creation, visualization and evaluation of a 3D model of the deposit. This methodology, along with our recently developed soft ware allows a user to create a variant of this dynamic model for the same or similar types of deposits, enables rapid updating of these models when adding or changing the input data on the basis of new mining exploration or when changing modelling parameters, such as using multiple variations interpolation parameters. Our methodology leads to a more advanced deposit evaluation, including adaptive estimates of the reserves based on the usability requirements we choose.