Author 1:
Name & Surname: Abaturova I. V.
Company: Ural State Mining University (Ekaterinburg, Russia)
Work Position: Professor
Scientific Degree: Doctor of Geological-Mineralogical Sciences
Contacts: gingeo@mail.ru

Author 2:
Name & Surname: Storozhenko L. A.
Company: Ural State Mining University (Ekaterinburg, Russia)
Work Position: Assistant Professor
Scientific Degree: Candidate of Geological-Mineralogical Sciences

Author 3:
Name & Surname: Petrova I. G.
Company: Ural State Mining University (Ekaterinburg, Russia)
Work Position: Assistant Professor
Scientific Degree: Candidate of Geological-Mineralogical Sciences

Author 4:
Name & Surname: Koroleva I. A.
Company: Ural State Mining University (Ekaterinburg, Russia)
Work Position: Assistant Professor
Scientific Degree: Candidate of Geological-Mineralogical Sciences

Efficiency of mineral extraction from the subsoil depends on mining safety that is first and foremost ensured based on the comprehensive knowledge on engineering-geologic conditions, making it possible to forecast initiation and expansion of hazardous geotechnical processes. At this respect, a special emphasis is placed on predictive rock mass assessment for reasonable use of investment in mine planning and construction. The predictive assessment results should to the utmost mirror a real situation since any error adds to deviation of production data and design solutions from the optimum. Therefore, one of the most important objectives governing mining efficiency is the analysis of components of engineering-geologic conditions, that influence the predictive assessment. Sofronovsky phosphorite deposit is chosen for illustration of the integrated approach to selection and justification of components of engineering-geologic conditions, determination of their development mechanisms and evaluation of influence they exert on mineral mining. In spotlight are the components characterizing rock mass stability under geotechnical influence. With the use of the selected components, a classification is constructed, that allows modeling a mineral deposit and identifying areas of different stability. On this basis, slopes of benches and pit walls were calculated, and the forecast of variation in engineering-geologic conditions in the course of mining was made such that to minimize cost of mine planning and mineral extraction and to ensure mine safety.

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