Bibliography: 1. Feng G., Bai J., Zhang Y. Basic theories and key technologies of rock strata control for residual coal resources mining under complex conditions. Meitan Kexun Jishu. 2020, vol. 48, no. 1, pp. 144—149. DOI: 10.13199/j.cnki.cst.2020.01.018.
2. Valuev A. M. About models and methods of optimization in the problems of designing open pit mining. MIAB. Mining Inf. Anal. Bull. 2015, no. 2, pp. 197—206. [In Russ].
3. Yakovlev A. M. Approbation of algorithms for automated processing of geological databases in technological schemes for managing the quality of a mineral. MIAB. Mining Inf. Anal. Bull. 2021, no. 5-1, pp. 248—257. [In Russ]. DOI: 10.25018/0236_1493_2021_51_0_248.
4. Kantemirov V. D., Titov R. S., Yakovlev A. M. Possibilities of computer modeling for solving the issues of quality management of mineral raw materials. Problems of Subsoil Use. 2016, no. 4, pp. 170—176. [In Russ].
5. Kantemirov V. D., Yakovlev A. M., Titov R. S. Estimation of qualitative indicators of minerals using geoinformation technologies of block modeling. Geoinformatika. 2020, no. 3, pp. 29—37. [In Russ]. DOI: 10.47148/1609-364X-2020-3-29-37.
6. Kantemirov V. D., Yakovlev A. M., Titov R. S. Geoinformation technologies of block modeling for assessing the qualitative indicators of minerals in the conditions of transitional processes in mining. Vestnik Dal'nevostochnogo otdeleniya Rossiyskoy akademii nauk. 2021, no. 1, pp. 38—47. [In Russ]. DOI: 10.37102/0869-7698-2021_215_01_03.
7. Manikovsky P. M., Vasyutich L. A., Sidorova G. P. Methods of modeling ore deposits in GGIS. Vestnik Zabaykal’skogo gosudarstvennogo universiteta. 2021, vol. 27, no. 2, pp. 6—14. [In Russ]. DOI: 10.21209/2227-9245-2021-27-2-6-14.
8. Pinto F. A. C., Deutsch C. V. Expected uncertainty as a function of the variogram, data spacing, and other factors. Application of Computers and Operations Research in the Mineral Industry. Proceedings of the 37th International Symposium APCOM 2015. 2015, рр. 1149— 1161.
9. Abramovich А., Stepanov Yu., Janocko Ju. The influence of the coal mining process on the state of the earth's surface in the district of the block. E3S Web of Conferences. 2020, vol. 174, article 01051. DOI: 10.1051/e3sconf/202017401051.
10. Babish G. Geostatistics without tears. A practical guide to surface interpolation, geostatistics, variograms and kriging. Regina, Saskatchewan. 2006, 9 p.
11. Mohammadpour M., Bahroudi A., Abedi M., Rahimipour G., Khalifani F. M. Geochemical distribution mapping by combining number-size multifractal model and multiple indicator kriging. Journal of Geochemical Exploration. 2019, vol. 200. рр. 13—26.
12. Afeni T. B., Akeju V. O., Aladejare A. E. A comparative study of geometric and geostatistical methods for qualitative reserve estimation of limestone deposit. Geoscience Frontiers. 2020, vol. 12, no. 1, pp. 243—253. DOI: 10.1016/j.gsf.2020.02.019.
13. Nagovitsyn O. V., Lukichev S. V. Conceptual approach to modeling mining technology objects using MINEFRAME. Voprosy osusheniya, geologii i geoinformatiki, geomekhaniki, spetsial'nykh gornykh rabot i gornykh tekhnologiy. Materialy 12 mezhdunarodnogo simpoziuma «Osvoenie mestorozhdeniy mineral'nykh resursov i pozemnoe stroitel'stvo v slozhnykh gidrogeologicheskikh usloviyakh» [Issues of drainage, geology and geoinformatics, geomechanics, special mining operations and mining technologies. Materials of the 12th International Symposium «Development of mineral resources deposits and underground construction in difficult hydrogeological conditions»], Belgorod, VIOGEM, 2013, pp. 238—245. [In Russ].
14. Dell'Accio F., Di Tommaso F. On the hexagonal Shepard method. Applied Numerical Mathematics. 2019. vol. 150. рр. 51—64. DOI: 10.1016/j.apnum.2019.09.005.
15. Kaputin Yu. E. Sistemy kontrolya soderzhaniy (Grade control) na gornykh predpriyatiyakh [Grade control systems at mining enterprises], Saint-Petersburg, Nedra Системы контроля содержаний (Grade control) на горных предприятиях. СПб.: Недра, 2012, 330 p.
16. Protsenko A. V., Bayrov Zh. B., Fedotov G. S., Zartenova L. G. Use of economic indicators in medium-term mine planning in geological and mining information system Micromine. MIAB. Mining Inf. Anal. Bull. 2018, no. 8, pp. 208—216. [In Russ]. DOI: 10.25018/0236-14932018-8-0-208-216.
17. Sapronova N. P., Fedotov G. S. Peculiarities of reservoir deposits modeling in the Micromine GGIS environment. MIAB. Mining Inf. Anal. Bull. 2018, special edition 1, pp. 38—45. [In Russ].
18. Lukichev S. V., Nagovitsin O. V., Semenova I. E., Belogorodtsev O. V. Mineframe — approaches to solving the problems of design and planning of mining operations. Innovatsionnye napravleniya v proektirovanii gornodobyvayushchikh predpriyatiy. Sbornik nauchnykh trudov [Innovative directions in the design of mining enterprises. Collection of scientific papers], no. 198, Saint-Petersburg, 2017, pp. 50—59.
19. Gholamnejad J., Azimi A., Teymouri M. Application of stochastic programming for iron ore quality control. Journal of Mining and Environment. 2018, vol. 9, no. 2, pp. 331—338. DOI: 10.22044/jme.2018.5952.1409.
20. Basargin A. A. Modeling of deposits of ore minerals using the micromine geoinformation system. Interexpo Geo-Siberia. 2016, vol. 1, no. 2, pp. 151—155. [In Russ].