ArticleName |
Integrated exploitability index for mineral deposits |
ArticleAuthorData |
North Caucasian Institute of Mining and Metallurgy (State Technological University), Vladikavkaz, Russia:
Kh. Kh. Khozhiev, Dean, Doctor of Engineering Sciences I. I. Bosikov, Associate Professor, Candidate of Engineering Sciences, igor.boss.777@mail.ru |
Abstract |
The aim of this work is the analysis of the variability of the main fi eld-geologic parameters of a useful component within the proven area of a mineral deposit. The analysis of the values of an integrated index will highlight the most promising areas for the further exploration. The objectives of this study given the available source data is the mapping of: – actual surface elevations (detailed topographic base); – thickness of useful strata; – capacity of overburden; – stripping ratio; – particle content; – size modulus. The other objectives of the study are to develop an integrated index for geological–commercial evaluation and the index distribution mapping. By interpolating inverse weighted distances, a surface map was obtained (digital elevation model). This method assumes that each input point aff ects the estimated point depending on the distance. The estimated values can be either a certain number of neighbor points or all points within the specified distance. The calculation is performed by the method of sliding window. The digital elevation modeling used 120 points and their distribution over the area was quite uniform but irregular, for this reason, we chose the inverse weighted distance interpolation as the most appropriate approach. The digital elevation model was required due to the fact that the analog drawings gave almost no information about elevations of points while these data were to be used later on for the calculation of the useful thickness in the inter-well areas. Thus, the performed researches showed that the method of zoning with the subsequent calculation of the integrated index of mineral body exploitability can be used to support a reasonable selection of mineral fields that are most promising for the further exploration. This is especially important when appraisal of a deposit involves a lot of parameters not clearly related to each other. The study has been supported under the R&D No. 4858 “Resource-Saving Technologies for Ecologically Safe Food Production in the Industrially Aff ected Zone in the Republic of North Ossetia – Alania” within the framework of the basic part of the governmental contract for research. |
keywords |
Mineral deposit, mathematical model, ore body thickness, terrain complexity, useful mineral
content, complex structure deposits, integrated effi ciency index, digital elevation model, zoning procedure |
References |
1. Porotov G. S. Search and geological-economic assessment of mineral deposits. Saint Petersburg : Sankt-Peterburgskiy gosudarstvennyy gornyy institut (tekhnicheskiy universitet), 2004. 244 p. 2. Collection of guidelines for geological and economic assessment of mineral deposits. Moscow : GKZ SSSR, 1986. Vol. 2. 530 p. 3. Saaty T. L. Generalization of Perron's theorem to hierarchic composition: unpublished manuscript. University of Pittsburg, 1984. pp. 171–183. 4. Bosikov I. I., Alikov A. Yu., Bosikov V. I., Smelkov Z. A. Mathematical Methods and Methods of their Development in Geological Prospecting. Perspektivy nauki. 2013. No. 6(45). pp. 59–62. 5. Wang G., Li R., Carranza E. J. M., Yang F. 3D geological modeling for prediction of subsurface Mo targets in the Luanchuan district, China. Ore Geology Reviews. 2015. Vol. 71. pp. 592–610. 6. Najafi A. B., Saeedi G. R., Farsangi M. A. E. Risk analysis and prediction of out-of-seam dilution in longwall mining. International Journal of Rock Mechanics and Mining Sciences. 2014. Vol. 70. pp. 115–122. 7. Trubetskoy K. N., Galchenko Yu. P. Geoecology of soil mastering and ecogeotechnology of deposit mining. Moscow : Nauchtekhlitizdat, 2015. 359 p. 8. Bosikov I. I., Klyuev R. V. Methods of system analysis of natural and anthropogenic system of mining and metallurgical complex. Vladikavkaz : Severo-Osetinskiy gosudarstvennyy universitet imeni K. L. Khetagurova, 2015. 124 p. 9. Saaty T. L., Vargas L. C. Inconsistency and rank preservation. Journal of Mathematical Psychology. 1984. Vol. 28, No. 2. pp. 205–214. 10. Saaty T. L. Axiomatic foundation of the analytic hierarchy process. Management Science. 1986. Vol. 32, No. 7. pp. 841–855. 11. Bosikov I. I., Alikov A. Yu., Bosikov V. I., Smelkov Z. A. Study of the Regularities of Functioning of Natural and Industrial Systems of Mining And Processing Complex with the Help of Mathematical Models. Perspektivy nauki. 2012. No. 1(28). pp. 70–72. 12. Moiseev N. N. Mathematical tasks of system analysis : tutorial. Moscow : Nauka, 1981. 488 p. 13. Pismenny A., Chaadaev A., Akishev A., Bondarenko I., Babaskin S. Innovative technologies at ppopen-cast mining of diamond deposites. Innovations and Nanotechnologies of Russia. 2012. No. 1(2). pp. 38–39. 14. Rykov A. S. Models and methods of system analysis : decision-making and optimization : tutorial. Moscow : NITU «MISIS», 2005. 352 p. 15. Benardos A., Athanasiadis I., Katsoulakos N. Modern earth sheltered constructions: A paradigm of green engineering. Tunnelling and Underground Space Technology. 2014. Vol. 41. pp. 46–52. 16. He L., Song Y., Dai S. Z., Durbak K. Quantitative research on the capacity of urban underground space – The case of Shanghai, China. Tunnelling and Underground Space Technology. 2012. Vol. 32. pp. 168–179. |