It was found that the carbonate deposits of the Russian Platform presented mainly unconsolidated arrays with complex spatial network of endogenous vertical cracks and bedding, which is expressed in the separation column of limestone on layers and layers. Together, they define the block structure of the array. The geological structure is dominated by deposits (about 85%) of the difference between building block 0.2 m3 to 0.9 m3 with a yield of 15-25% of commodity blocks .Vsё this, together with increased demand for white stone for the construction and restoration work, placing increased demands the quality of produced and delivered to the stone-working blocks that can not be achieved using conventional methods of preparing explosives for excavation of natural array. A promising technology of nonexplosive extraction of blocks of limestone and dolomite, which provides an improvement in their quality. The technology, based on the use of a hydraulic excavator and bars installation, maximizes natural features into account hardstructural carbonate deposits. It was found that for the majority of the carbonate deposits of the Russian Platform to develop a block of limestone can be as "tailwind seizure" under the integrated use of all productive strata carbonates. To implement this technology, proposes the creation of the site of block stone extraction integrated into the working area of a large career, worked the carbonate with the formation of an array of different types of cargo flows of several raw materials. The technological solutions for the screening of the recess portions of blocks from the working area of the main pit

The results of experimental studies of the new jetting DG-300, on the basis of which set of generalized analytical dependency jetting resistance ratio of the diameter of nozzles used and developed an algorithm for determining the diameter of the jetting nozzles, taking into account the mode of operation of the pumping station. Application of new jetting improves performance and efficiency jetting.

Geostatistics-based estimators, i.e. ordinary kriging and simple kriging, are state-of-the-art estimation techniques widely used in the mining industry. However, the estimation result of kriging techniques is not able to cope with the well-known uncertainty of geological attributes in mineralization deposits. Moreover, the smoothing effect of kriging algorithms has led to over/under estimation in many circumstances. To overcome these drawbacks, the deterministic estimation result of kriging is usually followed by stochastic results provided by stochastic simulation. In this paper, the application of ordinary kriging and stochastic simulation are performed to build the resource model together with the uncertainty assessment of the Sinquyen copper mine.

For the flotation process is effective using of open control loops, which are used as input parameter the ore quality. To determine the quality of ore is carried out on-line analysis of its elemental and mineral composition and structure. The basis of the operational analysis is the measurement of X-ray and visible light. To improve the accuracy of determining ore mineralogical composition, new techniques and facilities have been developed. At the conveyor ore analysis, special lighting systems were tested, using alternating focused and flat light fluxes. Such systems provide highly accurate in-stream measurements of ore properties. A special flatbed facility for optical spectrumbased estimation of fine-crushed ore has been developed, being incorporated into the existing system of ore sampling and analysis. Application of the flatbed facility renders possible a high accuracy of determining ore mineralogical composition. Modern systems for optical spectrum-based estimation of ore grade provide a basis for effective automated control of ore beneficiation processes, based on the principle of advanced ore grade control. The systems implemented at the "Erdenet" processing plant (Mongolia) contributed to increasing copper and molybdenum recovery.

An overview of the new, the most significant results in the field of mining research based on the use of non-Euclidean continuum model to describe the distribution of the stress field around the development of circular cross-section. The question of the accuracy of calculation of the parameters of the models constructed and compared with field experiments. Considered separately taken model parameter frequency zonal fracture rock mass around deep development of circular cross section. Selecting this option justified its prognostic significance for solving problems in the study of mining deposits. A comparative analysis of analytical and numerical determination of this parameter with the field data of two independent fields. The technique is described and sharing analytical and numerical approach, depending on the task on the test field.

The most important estimation parameter – the open porosity coefficient (Kp) - in petrophysical laboratories is, as a rule, determined for the productive formation on the whole and without taking into account its regional heterogeneity. As a basic criterion at selecting the samples to construct the model Rp = f(Kp) a range of the porosity value is taken. In this case it is assumed that the higher is Δ Kp , the higher is the validity of the relation Rp = f(Kp). However, in practice such concept often creates the problems of ambiguity in determining the porosity by the electric resistivity of water saturated samples in different wells even within one field. This phenomenon is resulted from neglecting, on one hand, the specific features of the regional petrophysics object - facies, which are reflected in the form of well logging curves including SP, and, on the other hand, the element of the general petrophysics object – a type of clayness. The breakdown (classification) of the formation by facies, determination and taking into consideration the type of clayness as well as distinguishing and analysis of petrophysical types of rock based on the rock porosity and permeability characteristics within a formation permit to obtain satisfactory relations between electric resistivity and porosity of the rock.

The article considers the possibility of increasing the efficiency of the mining enterprise at the expense of correct choice of price categories and tariff for electricity. The efficiency of forecasting model of energy consumption by the rational choice of price categories is shown, a system for predicting energy consumption using artificial neural network is developed. The forecast error is 0.908 % with the architecture of the 
network type MLP (MLP 24-18-1)