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JMS, Vol. 55, No. 2, 2019


GEOMECHANICS


HYDRAULIC FRACTURING EFFECT ON FILTRATION RESISTANCE IN GAS DRAINAGE HOLE AREA IN COAL
S. V. Serdyukov, M. V. Kurlenya, L. A. Rybalkin, and T. V. Shilova

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: ss3032@yandex.ru

Features of stress state and jointing as well as their effect on hydraulic fracture propagation direction in coal seams are considered. The flow resistance in drainage areas is analyzed depending on hydrofracture orientation, thickness of seams and spacing of holes. The comparison of one-stage and multi-stage hydrofractures created in-plane and orthogonally to hole axes is given. In simulated reservoir conditions, permeability of dense coal is studied without a fracture and with a through propped fracture subjected to confining pressure. The recommendations are developed for improving efficiency of gas drainage in coal seams based on in-mine hydraulic fracturing.

Coal seam, methane, cleavage, stress state, gas drainage scheme, hole, drainage zone, hydraulic fracturing, crack propagation direction, filtration resistance, permeability, proppant

DOI: 10.1134/S1062739119025432 

REFERENCES
1. Alekseev, À.D., Vasilenko, Ò.À., Gumennik, Ê.V., Kalugina, N.À., and Feldman, E.P., Diffusion–Filtration Model of Methane Yield from a Coal Seam, Zhurn. Tekhn. Fiz., 2007, vol. 77, no. 4, pp. 65–74.
2. Slastunov, S.V., Kolokov, Ê.S., and Puchkov, L.À., Izvlechenie metana iz ugol’nykh plastov (Methane Extraction from Coal Seams), Moscow: MGGU, 2002.
3. Instruktsiya po degazatsii ugol’nykh shakht (Coal Mine Degassing Guidelines) Series 05. Issue 22, Moscow: ZAO NTTSIPPB, 2012.
4. Slastunov, S.V., Yutyaev, Å.P., Mazanik, Å.V., and Sadov, À.P., Development and Improvement of Coal Seam Degassing Technologies for Effective and Safe Mining of Coal Seams, GIAB, 2018, no. S49, pp. 13–22.
5. Jeffrey, R. G. and Boucher, C., Sand Propped Hydraulic Fracture Stimulation of Horizontal In-Seam Gas Drainage Holes at Dartbrook Coal Mine, Proc. of Coal Operators’ Conference, University of Wollongong & the Australasian Institute of Mining and Metallurgy, University of Wollongong, 2004.
6. Tatsienko, À.L. and Klishin, S.V., Occurrence of Transverse Fracture in Interval Hydraulic Fracturing of Coal Seam, GIAB, 2018, no. S49, pp. 49–57.
7. Kurlenya, M.V., Serdyukov, S.V., Patutin, A.V., and Shilova, T.V., Stimulation of Underground Degassing in Coal Seams by Hydraulic Fracturing Method, J. Min. Sci., 2017, vol. 53, no. 6, pp. 3–9.
8. Kurlenya, M.V., Serdyukov, S.V., Shilova, T.V., and Patutin, A.V., Procedure and Equipment for Sealing Coal Bed Methane Drainage Holes by Barrier Shielding, J. Min. Sci., 2014, vol. 50, no. 5, pp. 203–210.
9. Serdyukov, S.V., Degtyareva, N.V., Patutin, A.V., and Shilova, T.V., Open-Hole Multistage Hydraulic Fracturing System, J. Min. Sci., 2016, vol. 52, no. 6, pp. 180–186.
10. Azarov, À.V., Kurlenya, M.V., Serdyukov, S.V., and Patutin, A.V., Features of Hydraulic Fracturing Propagation near Free Surface in Isotropic Poroelastic Medium, J. Min. Sci., 2019, vol. 55, no. 1, pp. 3–11.
11. Stolbova, N.F. and Isaeva, E.R., Petrologiya uglei (Petrology of Coals), Tomsk: TPU, 2013.
12. Popov, Yu.N., Tectonic Jointing of Coals and Enclosing Rocks in Leninsk District of Kuzbass, Izv. TPU, 1969, vol. 165, pp. 229–237.
13. Jeffrey, R., Hydraulic Fracturing Applied to Stimulation of Gas Drainage from Coal, Proc. of the AusIMM Illawarra Branch, 2002.
14. Nenasheva, R.I., Zykov, V.S., and Cheboksarov, B.B., Jointing Effect on the Preparation and Sequence of Mining Flat Coal Seams in Kuzbass, Vestn. KuzGTU, 2005, vol. 45, no. 1, pp. 35–38.
15. Kurlenya, M.V., Zvorygin, L.V., and Serdyukov, S.V., Control of Longitudinal Hydraulic Fracturing of Wells, J. Min. Sci., 1999, vol. 35, no. 5, pp. 3–12.
16. Burra A., Esterle J. S., and Golding S. D., Horizontal Stress Anisotropy and Effective Stress as Regulator of Coal Seam Gas Zonation in the Sydney Basin, Australia, Int. J. of Coal Geology, 2014, vol. 132, pp. 103–116.
17. Liu, C., Distribution Laws of In-Situ Stress in Deep Underground Coal Mines, Procedia Engineering, 2011, vol. 26, pp. 909–917.
18. Telkov, À.P. and Grachev, S.I., Gidromekhanika plasta primenitel’no k prikladnym zadacham razrabotki neftyanykh i gazovykh mestorozhdenii. Ucheb. posobie, chast’ II (Reservoir Hydromechanics Related to Applied Problems of Oil and Gas Fields Development. Study Guide, part II), Tyumen: TyumGNGU, 2009.
19. Kabirov, Ì.Ì. and Shamaev, G.A., Reshenie zadach pri proektirovanii razrabotki neftyanykh mestorozhdenii (Solving Problems in Designing Oil Fields Development), Ufa: UGNTU, 2003.
20. Renard, G. and Dupuy, J.M., Formation Damage Effects on Horizontal-Well Flow Efficiency, J. of Petroleum Technology, 1991, vol. 43, no. 7, pp. 786–869.
21. Guo, G. and Evans, R.D., Inflow Performance of a Horizontal Well Intersecting Natural Fractures, Proc. of SPE Production Operations Symp., SPE 25501, 1993.
22. Borisov, Yu.P., Pilatovskii, V.P., and Tabakov, V.P., Razrabotka neftyanykh i gazovykh mestorozhdenii gorizontal’nymi i mnogozaboinymi skvazhinami (Oil and Gas Fields Development Using Horizontally Branched Wells), Moscow: Nedra, 1964.
23. Li, H., Jia, Z., and Wei, Z., A New Method to Predict Performance of Fractured Horizontal Wells, Proc. of Int. Conference on Horizontal Well Technology, SPE 37051, 1996.
24. Mazo, À.B., Potashev, Ê.À., and Khamidullin, M.R., Filtration Model of Fluid Inflow to Horizontal Borehole with Multistage Hydraulic Fracturing of the Seam, Uchen. Zap. Kazan. Univ., 2015, vol. 157, no. 4, pp. 133–148.
25. Pirverdyan, A.M., Fizika i gidravlika neftyanogo plasta (Oil Reservoir Physics and Hydraulics), Moscow: Nedra, 1982.
26. Lu, S., Cheng, Y., Ma, J., and Zhang, Y., Application of In-Seam Directional Drilling Technology for Gas Drainage with Benefits to Gas Outburst Control and Greenhouse Gas Reductions in Daning Coal Mine, China, Natural Hazards, 2014, vol. 73, no. 3, pp. 1419–1437.
27. Serdyukov, S.V., Shilova, T.V., and Drobchik, A.N., Laboratory Installation and Procedure to Determine Gas Permeability of Rocks, J. Min. Sci., 2017, vol. 53, no. 5, pp. 172–180.


INFLUENCE OF TEMPERATURE AND WATER CONTENT ON ELASTIC PROPERTIES OF HARD ROCKS IN THAW/FREEZE STATE TRANSITION
S. V. Suknev

Chersky Institute of Mining of the North, Siberian Branch, Russian Academy of Sciences,
e-mail: suknyov@igds.ysn.ru

Elastic properties of enclosing rock mass around Botuobinskaya pipe diamond deposit are studied using the standard STO 05282612–001–2913. The Standard is based on an original procedure for determination of static elastic properties of materials under change in temperature or moisture content, which is inprovided by Russian and international standard but is of practical value in mine planning and design in the permafrost zone. A sample is subjected to multiple loading in the range of low irreversible strains, which improves measurement accuracy and enables physically correct estimation of temperature and water content influence on change of properties in a material in transition from thawed to frozen state. Based on the findings, the mechanisms of change in elastic properties of hard rocks are determined in a wide temperature range. It is emphasized that the change in elastic properties exhibits essentially nonlinear dependence on water content.

Hard rocks, compression, elasticity modulus, Poisson’s ratio, water content, low temperatures

DOI: 10.1134/S1062739119025444 

REFERENCES
1. Mellor, M., Mechanical Properties of Rocks at Low Temperatures, Permafrost: North American Contribution to the Second Int. Conf., Washington: Nat. Acad. Sci., 1973.
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3. Sarkka, P. and Polla, J., Strength and Deformation Characteristics of a Gabbro Rock between –10 °C and –60 °C, Safety and Environmental Issues in Rock Engineering: Proc. Int. Symp. Eurock 93, Rotterdam: Balkema, 1993.
4. Yamabe, T. and Neaupane, K.M., Determination of Some Thermo-Mechanical Properties of Sirahama Sandstone under Subzero Temperature Condition, Int. J. Rock Mech. Min. Sci., 2001, vol. 38, no. 7, pp. 1029–1034.
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8. Al-Omari, A., Brunetaud, X., Beck, K., and Al-Mukhtar, M., Coupled Thermal–Hygric Characterisation of Elastic Behaviour for Soft and Porous Limestone, Constr. Build. Mater, 2014, vol. 62, pp. 28–37.
9. USSR State Standard GOST 28985–91. Rocks. Method for Determining Strain Characteristics under Uniaxial Compression. Moscow: Izd. Standartov, 2004.
10. ASTM D7012–10. Standard Test Method for Compressive Strength and Elastic Moduli of Intact Rock Core Specimens under Varying States of Stress and Temperatures, West Conshohocken: ASTM Int., 2010.
11. German Standard DIN EN 14580:2005–07. Prufverfahren fur Naturstein—Bestimmung des Statischen Elastizitatsmoduls, Berlin: Deutsches Institut fur Normung e.V., 2005.
12. Brown, E.T. (Ed.), ISRM Suggested Methods. Rock Characterization Testing and Monitoring, Oxford: Pergamon Press, 1981.
13. Martin, C.D. and Chandler, N.A., The Progressive Fracture of Lac du Bonnet Granite, Int. J. Rock Mech. Min. Sci. & Geomech. Abstr, 1994, vol. 31, no. 6, pp. 643–659.
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15. Hakala, M., Kuula, H., and Hudson, J. A. Estimating the Transversely Isotropic Elastic Intact Rock Properties for In Situ Stress Measurement Data Reduction: A Case Study of the Olkiluoto Mica Gneiss, Finland, Int. J. Rock Mech. Min. Sci., 2007, vol. 44, no. 1, pp. 14–46.
16. Suknev, S.V., Procedure for Static Elasticity Modulus and Poisson’s Ratio Determining in Sample Temperature Change, GIAB, 2013, no. 8, pp. 101–105.
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18. Suknev, S.V., Experience of Developing and Applying the Organization Standard to Determine Elastic Properties of Rocks, Gornyi Zhurnal, 2015, no. 4, pp. 20–25.


USE OF MOHR’S CIRCLES FOR CONNECTION AND MODEL ESTIMATION OF STRENGTH DATA OF DIFFERENT-SIZE ROCK SAMPLES
P. A. Tsoi and O. M. Usol’tseva

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: ss3032@yandex.ru
Novosibirsk State Technical University, Novosibirsk, 630073090 Russia

An approach is proposed to connecting strength data of different-size rock samples by the linear shear-to-normal stress dependence. The data are presented by Mohr’s circles. The key moment is the determination of centroids for uniaxial compression and tensions areas enveloped by Mohr’s semi-circles. Using coordinates of the centroids, the shear stress–normal stress curves are plotted. Thereupon, the model estimate of missing data (ultimate compression and tension strengths) is constructed for rock samples. The missing ultimate strengths are estimated in terms of meta-siltstone.

Mohr’s circles, different-size rock samples, uniaxial compression, tension, centroid, ultimate strength

DOI: 10.1134/S1062739119025456 

REFERENCES
1. USSR State Standard GOST 21153.2–84. Rocks. Methods for Determining Ultimate Strength under Uniaxial Compression. Moscow, 1985.
2. USSR State Standard GOST 21153.3–85. Rocks. Methods for Determining Ultimate Strength under Uniaxial Tension. Moscow, 1985.
3. USSR State Standard GOST 21153.8–88. Rocks. Methods for Determining Ultimate Strength under Volumetric Compression. Moscow, 1988.
4. ASTM D 7012–04. Standard test method for compressive strength and elastic moduli of intact rock core specimens under varying states of stress and temperatures.
5. ASTM D 3967–95a. Standard test method for splitting tensile strength of intact rock core specimens.
6. ASTM D 5607–02. Standard test method for performing laboratory direct shear strength tests of rock specimens under constant normal force.
7. Karkashadze, G.G., Mekhanicheskoe razrushenie gornykh porod (Rock Disintegration), Moscow: MGGU, 2004.
8. Jiang, H., Simple Three-Dimensional Mohr-Coulomb Criteria for Intact Rocks, Int. J. Rock Mech. Min. Sci., 2018, vol. 105, pp. 145–159.
9. Heng, S., Guo, Y., Yang, C., Daemen, J.J., and Li, Z., Experimental and Theoretical Study of the Anisotropic Properties of Shale, Int. J. Rock Mech. Min. Sci., 2015, vol. 74, pp. 58–68.
10. Cen, D. and Huang, D., Direct Shear Tests of Sandstone under Constant Normal Tensile Stress Condition Using a Simple Auxiliary Device, Rock Mech. Rock Eng., 2017, vol. 50, no. 6, pp. 1425–1438.
11. Revuzhenko, A.F., Rock Failure Criteria Based on New Stress Tensor Invariants, J. Min. Sci., 2014, vol. 50, no. 3, pp. 33–39.
12. Mikenina, Î.À. and Revuzhenko, A.F., Limit State and Failure Criteria for Media with Perfect Cohesion and Flowability, J. Min. Sci., 2014, vol. 50, no. 4, pp. 55–60.
13. Tsoi, P., Usol’tseva, O., Persidskaya, O., Semenov, V., and Sivolap, B., About the Variation of Meta-Siltstone Deformation Strength Properties under the Different Scales, The 17 Int. Multidisciplinary Scientific Geoconf. (SGEM 2017): Proc., Albena: STEF92 Technology Ltd., 2017.
14. Tsoi, P.À., Usol’tseva, Î.Ì., Persidskaya, O.À., Semenov, V.N., and Sivolap, B.B., Change in Young’s Modulus and Meta-Siltstone Ultimate Strength Depending on Sample Sizes, J. Fundament. Appl. Min. Sci., 2017, vol. 4, no. 2, pp. 187–190.


RHEOLOGICAL CHARACTERISTICS OF UNI/BI-VARIANT PARTICULATE IRON ORE SLURRY: ARTIFICIAL NEURAL NETWORK APPROACH
S. Kumar, M. Singh, J. Singh, J. P. Singh and S. Kumar

Mechanical Engineering Department, T. I. E.T, Patiala, 147004 India
School of Mechanical Engineering, Lovely Professional University, Jalandhar, 144411 India
Department of Mechanical Engineering, N. I. T, Jamshedpur, 831014 India
e-mail: skumar_me16@thapar.edu

A rigorous literature review has been carried out on rheological behavior of hard and soft particle slurries. The rheological characteristics of unimodal and bimodal suspension are presented. From experimentation, it was observed that mineral viscosity increases with solid concentration, while decreases with temperature. Addition of 30% (by weight) proportion of finer particles in coarse particles resulted in significant decrease in apparent viscosity of iron ore suspension. Artificial neural network approach was used for predicting the apparent viscosity of slurry.

Iron ore, rheology, unimodal, bimodal, apparent viscosity

DOI: 10.1134/S1062739119025468 

REFERENCES
1. Tangsathitkulchai, C., The Effect of Slurry Rheology on Fine Grinding in a Laboratory Ball Mill, J. Miner. Process., 2003, vol. 69, no. 1, pp. 29–47.
2. Singh, M.K., Ratha, D., Kumar, S., and Kumar, D., Influence of Particle-Size Distribution and Temperature on Rheological Behavior of Coal Slurry, Int. J. Coal Prep. Util., 2016, vol. 36, no. 1, p. 44–54.
3. Yuchi, W., Li, B., Li, W., and Chen, H., Effects of Coal Characteristics on the Properties of Coal Water Slurry, Coal Prep., 2005, vol. 25, no. 4, pp. 239–249.
4. Bobicki, E.R., Liu, Q., and Xu, Z., Effect of Microwave Pre-Treatment on Ultramafic Nickel Ore Slurry Rheology, Mineral. Eng., 2014, vol. 61, pp. 97–104.
5. Singh, J.P., Kumar, S., and Mohapatra, S.K., Modelling of Two-Phase Solid-Liquid Flow in Horizontal Pipe Using Computational Fluid Dynamics Technique, J. Hydrogen Energy, 2017, vol. 42, no. 31, pp. 20133–20137.
6. Turian, R.M., Ma, T.W., Hsu, F. L. G., and Sung, D.J., Characterization, Settling, and Rheology of Concentrated Fine Particulate Mineral Slurries, Powder Technol., 1977, vol. 93, no. 3, pp. 219–233.
7. Slatter, P., The Role of Rheology in the Pipelining of Mineral Slurries, Miner. Process. Extr. Metall. Rev., 2000, vol. 20, no. 1, pp. 281–300.
8. Lorenzi, L.D. and Bevilacqua, P., The Influence of Particle Size Distribution and Nonionic Surfactant on the Rheology of Coal Water Fuels Produced Using Iranian and Venezuelan Coals, Coal Prep., 2002, vol. 22, no. 5, pp. 249–268.
9. Yang, X. and Aldrich, C., Rheology of Aqueous Magnetite Suspensions in Uniform Magnetic Fields, J. Miner. Process., 2005, vol. 77, no. 2, pp. 95–103.
10. Senapati, P.K., Panda, D., and Parida, A., Predicting Viscosity of Limestone–Water Slurry, J. Miner. Mater. Charact. Eng., 2009, vol. 8, no. 3, pp. 203–221.
11. Zhou, M., Pan, B., Yang, D., Lou, H., and Qiu, X., Rheological Behavior Investigation of Concentrated Coal-Water Suspension, J. Dispersion Sci. Technol., 2010, vol. 31, no. 6, pp. 838–843.
12. Deosarkar, M.P. and Sathe, V.S., Predicting Effective Viscosity of Magnetite Ore Slurries by Using Artificial Neural Network, Powder Technol., 2012, vol. 219, pp. 264–270.
13. Vieira, M.G. and Peres, A.E., Effect of Reagents on the Rheological Behavior of an Iron Ore Concentrate Slurry, J. Min. Eng. Miner. Process., 2012, vol. 1, no. 2, pp. 38–42.
14. Vieira, M.G. and Peres, A.E., Effect of Rheology and Dispersion Degree on the Regrinding of an Iron Ore Concentrate, J. Mater. Res. Technol., 2013, vol. 2, no. 4, pp. 332–339.
15. Sahoo, B.K., De, S., and Meikap, B.C., An Investigation into the Influence of Microwave Energy on Iron Ore-Water Slurry Rheology, J. Ind. Eng. Chem., 2015, vol. 25, pp. 122–130.
16. Liu, P., Zhu, M., Zhang, Z., Leong, Y.K., Zhang, Y., and Zhang, D., Rheological Behavior and Stability Characteristics of Biochar-Water Slurry Fuels: Effect of Biochar Particle Size and Size Distribution, Fuel. Process. Technol., 2017, vol. 156, pp. 27–32.
17. Assefa, K.M. and Kaushal, D.R., Experimental Study on the Rheological Behavior of Coal Ash Slurries, J. Hydrol. Hydromech., 2015, vol. 63, no. 4, pp. 303–310.
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IMPACT AND SEVERITY OF DEEP EXCAVATIONS ON STRESS TENSORS IN MINING
V. Shankar, D. Kumar, and Ds. Subrahmanyam

National Institute of Rock Mechanics, India
e-mail: ajayvaish007@gmail.com
Indian Institute of Technology (IIT), Dhanbad, India

Knowledge of the state of stress regime is important to the mine designers for deciding the method of mining and for strategic design in virgin areas. This knowledge helps them in deciding the mining sequence and rock reinforcement for extraction of ores economically and safely. Generally, as excavation progresses to deeper levels, the stress tensors are also equally affected. Elevated stress regime results in concomitant increase in rock fracturing and mining induced deformations. Rock failure in the periphery of the excavation is somewhat stress related, and it is therefore important to ascertain the extent of stress levels within a given rock formation. The role of stress regime in pre- and post-mining stages is discussed. The research is based on the in-situ stress measurements conducted at deeper levels in mines. The authors also tried to ascertain the redistribution of the stresses due to mining and detect any re-orientation of the stresses due to various other geological factors.

Stress, hydraulic tests on pre-existing fracture, topography, anisotropy

DOI: 10.1134/S106273911902548X

REFERENCES
1. Cornet, F.H., Stress Determination from Hydraulic Tests on Pre-Existing Fractures—The HTPF Method, Proc. Int. Symp., Rock Stress and Rock Stress Measurements, CENTEK Publ., Lulea, 1986.
2. Hubbert, K.M. and Willis, D.G., Mechanics of Hydraulic Fracturing, Petroleum Transactions AIME, 1957, vol. 210, pp. 153–166.
3. MeSy Code. Hydraulic Fracture Pressure and Flow Rate Data Analysis Software User’s Manual, 1992.


EXPERIMENTAL SUBSTANTIATION OF USING ACOUSTIC NOISE IN ABOVE-GROUND PIPELINE DIAGNOSTICS
Yu. I. Kolesnikov, K. V. Fedin, and L. Ngomaizve

Trofimuk Institute of Petroleum Geology and Geophysics,
Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090 Russia
e-mail: KolesnikovYI@ipgg.sbras.ru
Novosibirsk State University, Novosibirsk, 630090 Russia

The full-scale experiments on acoustic noise recording on the surface of an above-ground pipeline are carried out on operating heating main. The tests were performed in the pipeline branches with different style attachment between pipe and support—rigid (the pipe is welded to the support) and flexible (the freely supported heat-insulated pipe). The experiments show that collection of recorded noise amplitude spectra makes it possible to determine natural frequencies and forms of flexural coincident waves generated by noise in the pipeline spans. Both frequencies and forms of the waves depend on the style of the pipe attachment at the span ends, which may be used in diagnostics of pipeline branches by acoustic noise to detect damaged stiffness of the pipe–support attachment and/or instability of the supports. The computer modeling using the finite element method yields flexural wave frequencies similar to the experiment results. The distributions of nodes and antinodes of flexural coincident waves along pipeline spans at different style pipe–support attachments qualitatively agree with the earlier lab test data.

Above-ground pipeline, diagnostics, acoustic noise, flexural coincident waves, full-scale experiment, computer modeling

DOI: 10.1134/S1062739119025491 

REFERENCES
1. Blyuss, B.À., Livshits, Ì.N., and Semenenko, Å.V., Parametrization Procedure for Open-Pit Pipeline Transporation with an Allowance for Slurry Formation, J. Min. Sci., 2009, vol. 45, no. 1, pp. 73–82.
2. Tapsiev, À.P., Anushenkov, À.N., Uskov, V.À., Artemenko, Yu.V., and Pliev, B.Z., Development of the Long-Distance Pipeline Transport for Backfill Mines in Terms of Oktyabrsky Mine, J. Min. Sci., 2009, vol. 45, no. 3, pp. 81–91.
3. Aliev, R.A., Belousov, V.D., Nemudrov, A.G., et al., Truboprovodnyi transport nefti i gaza: uchebnik dlya vuzov (Pipeline Transport of Oil and Gas: College Textbook), Moscow: Nedra, 1988.
4. Bianchini, A., Guzzini, A., Pellegrini, M., and Saccani, C., Natural Gas Distribution System: A Statistical Analysis of Accidents Data, Int. J. of Pressure Vessels and Piping, 2018, vol. 168, pp. 24–38.
5. Datta, S., and Sarkar, S., A Review on Different Pipeline Fault Detection Methods, J. of Loss Prevention in the Process Industries, 2016, vol. 41, pp. 97–106.
6. Olson, D.E., Pipe Vibration Testing and Analysis, Am. Soc. of Mechanical Engineers, 2008, chapter 37, pp. 659–692.
7. Lowe, M. J. S., Alleyne, D.N., and Cawley, P., Defect Detection in Pipes Using Guided Waves, Ultrasonics, 1998, vol. 36, nos. 1–5, pp. 147–154.
8. Lowe, P.S., Sanderson, R., Pedram, S.K., Boulgouris, N.V., and Mudge, P., Inspection of Pipelines Using the First Longitudinal Guided Wave Mode, Physics Procedia, 2015, vol. 70, pp. 338–342.
9. Ahadi, M. and Bakhtiar, M.S., Leak Detection in Water-Filled Plastic Pipes through the Application of Tuned Wavelet Transforms to Acoustic Emission Signals, Applied Acoustics, 2010, vol. 71, no. 7, pp. 634–639.
10. Ozevin, D. and Harding, J., Novel Leak Localization in Pressurized Pipeline Networks Using Acoustic Emission and Geometric Connectivity, Int. J. of Pressure Vessels and Piping, 2012, vol. 92, pp. 63–69.
11. Jin, H., Zhang, L., Liang, W., and Ding, Q., Integrated Leakage Detection and Localization Model for Gas Pipelines Based on the Acoustic Wave Method, J. of Loss Prevention in the Process Industries, 2014, vol. 27, pp. 74–88.
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ROCK FAILURE


MONITORING OF EARTHQUAKE LOADS FROM BLASTING IN THE SHAKHTAU OPEN PIT MINE
A. V. Verkholantsev, R. A. Dyagilev, D. Yu. Shulakov, and A. V. Shkurko

Mining Institute, Ural Branch, Russian Academy of Sciences, Perm, 614007 Russia
e-mail: vercholancev@gmailcom
Syrievaya Kompaniya, Sterlitamak, 453100 Russia
e-mail: gor@bashmrc.ru

The monitoring results on earthquake loads from blasting in the Shakhtau open-pit mine in 2016–2017 are presented. The integrated model of influence exerted by the parameters of drilling-and-blasting and the environment on the surface earthquake loading is developed, which allows high-precision prediction of the seismic effect value at any point of a study area. The estimates of the short-blasting initiation errors are given. It is concluded on the promising nature of continuous blasting monitoring in difficult geotechnical conditions when reliability of standard seismic effect valuation procedures is insufficient.

Seismic safety, seismic effect of blasting, seismically safe distance, ground conditions, resonance effects, radiation directivity, seismic effect prediction

DOI: 10.1134/S1062739119025503 

REFERENCES
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8. Federal’nye normy i pravila v oblasti promyshlennoy bezopasnosti “Pravila bezopasnosti pri vzryvnyh rabotakh” (Federal Standards and Rules in Industrial Safety: Industrial Safety in Blasting Operations, Moscow: Normatika, 2016.
9. Verkholantsev, À.V. and Shulakov, D.Yu., Assessment of Seismic Effect of Drilling-and-Blasting Operations on Surface Buildings and Structures, Geofizika, 2014, no. 4, pp. 40–45.
10. RB G-05–039–96. Rukovodstvo po analizu opasnosti avariynyh vzryvov i opredeleniyu parametrov ikh mekhanicheskogo deystviya (Safety Guide on Accidental Explosion Analysis and Determination of Its Mechanical Effect Parameters), Moscow: NTTS YARB Gosatomnadzor Rossii, 2000.
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12. Zaalishvili, V.B., Dependence of Spectral Characteristics of Seismic Waves on the Structure of the Upper Part of Open-Pit Mine, Geol. Geofiz. Yuga Rossii, 2014, no. 4, pp. 15–44.
13. Kendzera, À.V. and Semenova, Yu.V., Influence of Resonance and Nonlinear Ground Properties on Seismic Hazard of Construction Sites, Geofiz. Zhurn., 2016, vol. 38, no. 2, pp. 3–18.
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15. Novin’kov, A.G., Protasov, S.I., Samusev, P.A., and Gukin, A.S., Statistical Reliability of Forecasting Peak Particle Velocity under Large-Scale Production Blasting, J. Min. Sci., 2015, vol. 51, no. 5, pp. 50–57.
16. Nakamura, Y., A Method for Dynamic Characteristics Estimation of Subsurface Using Microtremor on the Ground, QR RTRI, 1989, vol. 30, pp. 25–33.
17. Nazarian, S. and Stokoe, K.H., In Situ Shear Wave Velocities from Spectral Analysis of Surface Waves, Proc. of the 8th World Conf. on Earthquake Engineering, Prentice-Hall, Inc, New Jersey, Englewood Cliffs, 1984.
18. Xia, J., Miller, R.D., and Park, C.B., Estimation of Near-Surface Shear-Wave Velocity by Inversion of Rayleigh Wave, Geophysics, 1999, vol. 64, no. 3, pp. 691–700.
19. Dyagilev, R.À., Blast Manager. A Software for Calculating Optimum Patarmeters of Drilling and Blasting Operations by the Level of Seismic Effect on Buildings and Structures. Certificate of the State Registration for PC Software no. 2018610154 as of 09.01.2018.
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THE POWER SOURCE FOR COAL AND GAS OUTBURST
Lin Hong, Dameng Gao, Jiren Wang, and Dan Zheng

College of Safety Science & Engineering, Liaoning Technical University, Fuxin, 123000 China
Key Laboratory of Mine Thermodynamic Disaster & Control of Ministry of Education,
Huludao, 125105 China
e-mail: lgdaqxy123000@126.com

The experiments were carried out connected with nitrogen adsorption on coal samples. The aim was to find out the power source for coal and gas outburst. The experimental data were fitted by the function of f(x)=axb. The total volume of micropores and the degree of micropore volume filled by nitrogen were calculated by the Dubinin–Radushkevich equation. In unexploited coal body, the gas desorption occurs in a unit, it could trigger a desorption of the neighboring units of coal body. When it reaches a certain level that can push the coal body forward, the coal and gas outburst would happen. For materials containing micropores and mesopores, like coal, the inflection point was the demarcation point of micropore filling and adsorption of multilayer. Coal and gas outburst, nitrogen adsorption experiment, Dubinin–Radushkevich equation, power source, micropore filling, adsorption of multilayer

DOI: 10.1134/S1062739119025515 

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MINERAL MINING TECHNOLOGY


MODELING TOP COAL DISINTEGRATION IN THICK SEAMS IN LONGWALL TOP COAL CAVING
V. I. Klishin, V. N. Fryanov, L. D. Pavlova, and G. Yu. Opruk

Institute of Coal, Federal Research Center of Cola and Coal Chemistry,
Siberian Branch, Russian Academy of Sciences,
Kemerovo, 650065 Russia
e-mail: klishinvi@icc.kemsc.ru
Siberain State Industrial University,
Novokuznetsk, 654007 Russia
e-mail: ld_pavlova@mail.ru

The geomechanical model of the powered roof support–top coal–roof rock system is developed. For investigation of disintegration processes in top coal of thick seam, numerical modeling with finite element discretization of a study domain is carried out using the authors’ original code. The computational experiment reveals stress distribution in rock mass, as well as evaluates position, shape and size on uncontrolled caving zones in top coal.

Coal seam, seam roof, top coal, stresses, disintegration, finite element method, numerical experiment

DOI: 10.1134/S1062739119025527 

REFERENCES
1. Klishin, V.I., Shundulidi, I.A., Ermakov, A.Yu., and Solov’ev, À.S., Tekhnologiya razrabotki zapasov moshchnykh pologikh plastov s vypuskom uglya (A Technology for Mining Reserves of Thick Flat Seams with Coal Discharge), Novosibirsk: Nauka, 2013.
2. Kalinin, S.I., Novosel’tsev, S.A., Galimardanov, R.Kh., Renev, À.À., and Filimonov, Ê.À., Otrabotka moshchnogo ugol’nogo plasta mekhanizirovannym kompleksom s vypuskom podkrovel’noi pachki (Mining of Thick Coal Seam by Mechanized Complex with Top Coal Discharge), Kemerovo: KuzGTU, 2011.
3. Senkus, V.V. and Ermakov, A.Yu., Test Results of the Technology for Mining Thick Flat Seams with Coal Discharge, Nauk. Techn. Razrab. Isp. Min. Res., 2016, no. 3, pp. 97–98.
4. Zhang, J.W., Wang, J.C., Wei, W.J., Chen, Y., and Song, Z.Y., Experimental and Numerical Investigation on Coal Drawing from Thick Steep Seam with Longwall Top Coal Caving Mining, Arabian J. of Geosciences, 2018, vol. 11, no. 5, p. 96.
5. Wei, W., Song, Z., and Zhang, J., Theoretical Equation of Initial Top-Coal Boundary in Longwall Top-Coal Caving Mining, Int. J. Mining and Mineral Engineering, 2018, vol. 9, no. 2, pp. 157–176.
6. Yasitli, N.E. and Unver, B., 3-D Numerical Modelling of Stresses Around a Longwall Panel with Top Coal Caving, J. of The South African Institute of Mining and Metallurgy, 2005, vol. 105, pp. 287–300.
7. Klishin, S.V., Klishin, V.I., and Opruk, G.Yu., Modeling Coal Discharge in Mechanized Steep and Thick Coal Mining, J. Min. Sci., 2013, vol. 49, no. 6, pp. 105–116.
8. Klishin, S.V., Klishin, V.I., and Opruk, G.Yu., Mathematical Modeling of Gravity Movement of Weakened Mined Rock in Technology with Top Coal Discharge, Nauk. Techn. Razrab. Isp. Min. Res., 2018, no. 4, pp. 80–85.
9. Pisarenko, G.S. and Mozharovskiy, N.S., Uravneniya i kraevye zadachi teorii plastichnosti i polzuchesti (Equations and Boundary-Value Problems of Plasticity and Creep Theory), Kiev: Naukova dumka, 1981.
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11. Seryakov, V. Ì., Simulation of Deformation Processes in the Area of Coal Seam Extraction Accounting for Contact Interaction of Rocks in Undermined Layered Rock Mass, Nauk. Techn. Razrab. Isp. Min. Res., 2018, no. 4, pp. 92–98.
12. Tsvetkov, À.B., Pavlova, L.D., and Fryanov, V.N., Nonlinear Mathematical Model of Geomechanical State of Coal Rock Mass, GIAB, 2015, no. 1, pp. 365–370.
13. Pavlova, L.D. and Fryanov, V.N., Geomechanical Evaluation of Deep-Level Robotic Coal Mining by the Results of Numerical Modeling, Gornyi Zhurnal, 2018, no. 2. DOI: 10.17580/gzh.2018.02.07. Available at: http://www.rudmet.ru/journal/1700/article/29193/?language=en.
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17. Kornev, Å.S., Pavlova, L.D., and Fryanov, V.N., Development of a System of Problem-Oriented Software for Modeling Geomechanical Processes by Finite Element Method, Vestn. KuzGTU, 2013, no. 2, pp. 65–69.


INTEGRATED USE OF KUZNETSK COAL IN MULTI-STAGE PREPARATION FOR COMBUSTION AND RECOVERY OF WASTE
B. A. Anferov and L. V. Kuznetsova

Federal Research Center of Coal and Coal Chemistry,
Siberian Branch, Russian Academy of Sciences, Kemerovo, 650065 Russia
e-mail: b.anferov@icc.kemsc.ru

Some kinds of coal in Kuzbass are metalliferous and should be used to the best advantage both as fuel and as a source of valuable components recoverable from ash and slag. It is proposed to initiate a production system composed of a coal mine, heat power plant with multi-stage coal preparation for combustion and a waste treatment plant for: furnace refuses and light-end products in the form of pregnant solution and fly ash.

Run-of-mine coal, combustion, air-and-dust mixture, separation of flows, ash and slag waste, valuable chemical elements, ore concentrate, recovery

DOI: 10.1134/S1062739119025539 

REFERENCES
1. Gokhberg, L.M., Prognoz nauchno-tekhnicheskogo razvitiya Rossii: 2030 (Prediction for Scientific and Technical Development of Russia: 2030), Moscow: Ministry of Education and Science of the RF, NRU “Higher School of Economics”, 2014.
2. Anferov, B.A. et al., Sostoyanie i perspektivy razvitiya proektov gosudarstvenno-chastnogo partnerstva v kontekste kompleksnogo osvoeniya nedr, Kontorovich, A.E., Nikitenko, S.M., Goosen, E.V. (Eds.) (State and Prospects for Development of State-Private Partnership Projects of Comprehensive Exploitation of Mineral Resources), Kemerovo: Sib. Izd. Gruppa, 2015.
3. Zolotoshlakovye otkhody. Chast 2. Ekonomicheskaya vygoda ot pererabotki. Kak zarabotat na zole? (Ash and Slag Waste. Part 2. Economic Benefit from Processing. How to make money on ash?), ECTC Chemical Technologies. 20.10.216.
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5. Mingaleeva, G.R., Shamsutdinov, E.V., Afanasyeva, Î.V., Fedotov, À.I., and Ermolaev, D.V., Present-Day Tendencies of Processing and Using Ash and Slag Waste of TPP and Boiler Stations, Sovr. Probl. Nauk. Obr., 2014, no. 6.
6. Yao, Z.T., Xia, M.S., Sarker, P.K., and Chen, T., A Review of the Alumina Recovery from Coal Fly Ash, with a Focus in China, Fuel, 2014, vol. 120, pp. 74–85.
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11. Klishin, V.I., Anferov, B.A., and Kuznetsova, L.V., Selective Mining of Coal Seams with Valuable Chemical Elements, Gornyi Zhurnal, 2017, no. 9, pp. 71–76.
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14. Nifantov, B.F., Anferov, B.A., and Kuznetsova, L.V., RF patent no. 2448250, Byull. Izobret., 2012, no. 11.


SHUTTLE AND BENCH FLOW CHARTS IN UNDERGROUND MINING OF THICK METHANE-BEARING COAL SEAMS
A. A. Ordin, A. M. Timoshenko, D. V. Bovenko, A. A. Meshkov, and M. A. Volkov

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: ordin@misd.ru
VostNII Research and Production Center, Kemerovo, 650002 Russia
VostNII Science Center, Kemerovo, 650002 Russia
SUEK-Kizbass, Leninsk-Kuznetsky, 652507 Russia

The studies aimed to evaluate longwall productivity in the Talda-Zapadnaya 1 Mine are carried out with regard to the technological parameters of the drum shearer and capacity of the armored face conveyor in mining thick methane-bearing coal seam. It is found that methane release reduces with increasing output of the shearer, and allowable longwall length and capacity by the gas criterion are determined. The length of longwall 6605 is optimized by the maximum annual profit of the mine.

Mine, coal seam, thickness, shuttle and bench flow charts, shearer, cycle, advance velocity, output, armored face conveyor, methane flow rate and concentration

DOI: 10.1134/S1062739119025540 

REFERENCES
1. Salamatin, A.G., Podzemnaya razrabotka moshchnykh pologikh ugol’nykh plastov (Underground Mining of Thick Gently Dipping Coal Seams), Moscow: Nedra, 1997.
2. Tomashevskiy, L.P., Petrov, A.I., Mikheev, O.V., and Shakhurdin, S.A., Tekhnologiya razrabotki moshchnykh krutykh plastov (teoriya, eksperiment, praktiki) (Technology of Mining Thick Steep Seams (Theory, Experiment, Practice), Prokopyevsk, 1997.
3. Khveshchuk, N.Ì., Shtumpf, G.G., Sidorchuk, V.V., Makhrakov, I.V., Malyutin, V.Yu., and Oskolkov, I.G., Sovershenstvovanie i povyshenie effektivnosti razraborki moshchnykh pologikh i naklonnykh ugol’nykh plastov (Improvement and Raising the Efficiency of Mining Thick Gently Dipping and Steep Coal Seams), Kemerovo: Kuzbassvuzizdat, 2001.
4. Kulakov, V.N., Creating Technologies for Mining Thick Steep Coal Seams, Doctor Tech. Sci. Thesis, Novosibirsk, 1999.
5. Klishin, S.V., Klishin, V.I., and Opruk, G.Yu., Modeling Coal Discharge in Mechanized Steep and Thick Coal Mining, J. Min. Sci., 2013, vol. 49, no. 6, pp. 105–116.
6. Michalakopoulos, T.N., Roumpos, C.P., Galetakis, M.J., and Panagiotou, G.N., Discrete-Event Simulation of Continuous Mining Systems in Multi-Layer Lignite Deposits, Lecture Notes in Production Engineering, Proc. 12th Int. Symp. Continuous Surface Mining, 2015.
7. Gao, Y., Liu, D., Zhang, X., and He, M., Analysis and Optimization of Entry Stability in Underground Longwall Mining, Sustainability, 2017, vol. 9, no. 11, p. 2079.
8. Snopkowski, R., Napieraj, A., and Sukiennik, M., Method of the Assessment of the Influence of Longwall Effective Working Time onto Obtained Mining Output, Archives of Mining Sciences, 2017, vol. 61, no. 4, pp. 967–977.
9. Dimitrakopulos, R., Stochastic Optimization for Strategic Mine Planning: A Decade of Developments, J. Min. Sci., 2011, vol. 47, no. 2, pp. 5–17.
10. Aleksandrov, B.À., Kozhukhov, L.F., Antonov, Yu.A., Khoreshok, À.À., Tsekhin, À.Ì., and Pokazanyev, S.G., Gornye mashiny i oborudovanie podzemnykh razrabotok (Mining Machines and Equipment for Underground Operations), Kemerovo: KuzGTU, 2016.
11. Morozov, V.I., Chudenkov, V.I., and Surina, N.V., Ochistnye kombainy: spravochnik (Shearers: Reference Book), Moscow: MGGU, 2006.
12. Available at https://www.eickhoff-bochum.de/ru.
13. Metodicheskoe obespechenie programmy “PROZA-5.0” imitatsionnogo modelirovaniya i optimizatsii tekhnologicheskikh parametrov ochistnykh rabot dlinnostolbovoy sistemy razrabotki pologikh i naklonnykh metanonosnykh ugol’nykh plastov (Methodological Support of PROZA-5.0 Software for Simulation and Optimization of Stoping Process Parameters in Room-and-Pillar Mining of Gently Dipping and Inclined Methane-Bearing Coal Seams), Novosibirsk: IVT SO RAN, 2018.
14. Vremennye ukazaniya po upravleniyu gornym davleniem v ochistnykh zaboyakh na plastakh moshchnostyu do 3.5 m i uglom padeniya do 35° (Temporal Guidelines on Rock Pressure Control in Longwalls on Seams with Thickness up to 3.5 m and Dip Angle to 35°), Leningrad: VNIMI, 1982.
15. Ordin, A.A. and Timoshenko, A.M., Nonlinear Relationship between Coalbed Methane Release, Natural Methane Content and Kinematic Parameters of Cutting Picks of Shearers, J. Min. Sci., 2017, vol. 53, no. 2, pp. 110–116.
16. Kondrashin, Yu.À., Koloyarov, V.Ê., Yastremskiy, S.I., Megrabyan, G.G., Saetov, N.N., and Shchadov, V.Ì., Rudnichnyi transport i mekhanizatsiya vspomogatel’nykh rabot (Mine Transport and Mechanization of Subsidiary Works), Moscow: Gornaya Kniga, 2010.
17. Musiyachenko, Å.V., Raschet i proektirovanie mashin nepreryvnogo transporta (Calculation and Design of Stream-Flow Transportation Machines), Krasnoyarsk: SFU, 2009.


FEATURES OF HYDRAULIC FILL FORMATION IN MINING WATER-BEARING LIGNITE DEPOSIT
V. I. Cheskidov and A. V. Reznik

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: cheskid@misd.nsc.ru

Overburden dumping in hydraulic fill inside mined-out open pit is discussed. Features of hydraulic filling in an open pit at a gently dipping water-bearing lignite deposit without its drainage are presented. Parameters of hydraulic fill are correlated with hydraulic filling methods. Expediency of hydraulic fill formation without a dike is specified.

Hydraulic fill, process water body, overburden, slurry, sluice

DOI: 10.1134/S1062739119025552 

REFERENCES
1. Reznik, A.V. and Cheskidov, V.I., Open Pit Mining Technologies for Watered Lignite Deposits in the Kansk-Achinsk Basin, J. Min. Sci., 2019, vol. 55, no. 1, pp. 106–115.
2. Nurok, G. À., Lutovnikov, À. G., and Sherstyuk, À. D., Gidrootvaly na kar’yerakh (Hydraulic Fills in Open Pit Mines), Moscow: Nedra, 1977.
3. Gornaya entsiklopediya. T. 2 (Encyclopaedia of Mining. Vol. 2), Moscow: Sov. Entsikl., 1986.
4. Sokolov, D. Ya., Ispol’zovanie vodnoi energii (Use of Water Energy), Moscow: Kolos, 1965.
5. Semenova, K.M., Influence of Terrain and Inwash Technology on Hydraulic Fill Formation Efficiency, Marksheider. Vestn., 2013, no. 4 (95), pp. 37–40.
6. Cheremkhina, À.P., Assessment of Regularities of Change in Mining and Geological Consitions of Overburden Hydraulic Fills Stability Depending on Operational Stage, Candidate Tech. Sci. Thesis, Saint Petersburg, 2014.
7. Shchetinina, À.P. and Dudler, V.I., Problems of Ingeneering-Geological and Geoecological Substantiation of Upstream Impoundment Design, Proc. of the 10th Researchers Conference Gidroproekt, Moscow, 1991.
8. Yaltanets, I.Ì., Spravochnik po gidromekhanizatsii (Reference Book on Hydraulic Mining), Moscow: Gornaya kniga, 2011.
9. Cheskidov, V.I., Bobyl’skiy, À.S., and Reznik, A.V., To the Problem of Environmental Safety in Coal Mining on the Siberian Deposits, Problemy i perspektivy kompleksnogo osvoeniya i sokhraneniya zamnykh nedr, Moscow: IPKON RAN, 2016.
10. Tekhniko-ekonomicheskoe obosnovanie stroitel’stva razreza Uryupskiy P. O. Krasnoyarskugol’ (Feasibility Study for Construction of Uryupsky Open-Pit Mine by Krasnoyarskugol’ Company), Novosibirsk: Sibgiproshakht, 1985.


MULTI-ATTRIBUTE SCENARIO ANALYSIS OF PROTECTION OF DRMNO OPEN PIT MINE AGAINST GROUNDWATER
T. Šubaranović, S. Vujić, M. Radosavljević, B. Dimitrijević, S. Ilić, and D. Jagodić Krunić

University of Belgrade, Belgrade, Serbia
e-mail: tomislav.subaranovic@rgf.bg.ac.rs
Mining Institute of Belgrade, Belgrade, 11000 Serbia
Ministry of Mining and Energy of the Republic of Serbia, Belgrade, Serbia

Drmno open pit mine with the annual yield of 9 million tons of coal is one of the main providers of the primary energy source in company Elektroprivreda Srbije. Due to the immediate vicinity of two rivers, the Mlava and the Danube, water abundance in the working environment is high and the problem of protecting the open pit from infiltration of underground waters is relevant to the execution of exploitation works. This paper is focused on the multi-attribute check of the preference of one of the two projected variants of the modification of the system for protecting Drmno open pit mine against the infiltration of groundwater. The outcome of the analysis confirms the signification and justification of applying a multi-attribute or multi-criteria analysis for examining such problems.

Multi-attribute analysis, multi-criteria analysis, Drmno open pit mine, protection of mine against groundwater

DOI: 10.1134/S1062739119025564 

REFERENCES
1. Dražović, D., Additional Mining Project for Completing the Construction of Drmno Open Pit Mine for the Capacity of 6.5 Million Tons of Coal Annually, Belgrade: Mining Institute, 2004.
2. Pavlović, V., Study of the Techno-Economic Analysis of the Construction of a Watertight Screen on Drmno Open Pit Mine, Belgrade: University of Belgrade, 2006.
3. Šubaranović, T. and Janković, I., Analysis of the Dewatering Process of Opencast Mines, Bulletin of Mines, 2017, vol. CXIV, nos. 1–2, pp. 39–45.
4. Dimitrijevic, B., Vujić, S., Matić, I., Marjanac, S., Praštalo, Ž., Radosavljević, M., and Čolaković, V., Multi-Criterion Analysis of Land Reclamation Methods at Klenovnik Open Pit Mine, Kostolac Coal Basin, J. Min. Sci., 2014, vol. 50, no. 2, pp. 319–325.
5. Matos, P.V., Cardadeiro, E., Silva, J.A., and Muylder, C.F., The Use of Multi-Criteria Analysis in the Recovery of Abandoned Mines: A Study of Intervention in Portugal, RAUSP Management J., 2018, vol. 53, no. 2, pp. 214–224.


MINE AEROGASDYNAMICS


INFLUENCE OF SHOCK LOSSES ON AIR DISTRIBUTION IN UNDERGROUND MINES
L. Yu. Levin and M. A. Semin

Mining Institute, Ural Branch, Russian Academy of Sciences, Perm, 614007 Russia
e-mail: aerolog_lev@mail.ru

Air resistances are classified depending on their locality in underground mines. Three groups of local resistances are distinguished: shaft and mining horizon intersections; shaft and air channel intersections; stope and ventilation duct intersections in blind drifts. Influence of each group of the local resistances on the mine depression is evaluated as function of geometry and aerodynamics of underground openings. The criteria are proposed for estimating percentage influence of each group on the total mine depression are proposed. The calculation methods are determined for each group to be advisably used in quantitative analysis of air distribution in underground mine ventilation networks under the ventilation mode change.

Mine ventilation, shock losses, mine intersections, pressure loss, air distribution, ventilation duct

DOI: 10.1134/S1062739119025576 

REFERENCES
1. Mokhirev, N.N. and Rad’ko, V.V., Inzhenernye raschety ventilyatsii shakht. Stroitel’stvo. Rekonstruktsiya. Ekspluatatsiya. (Engineering Design of Mine Ventilation. Construction. Reconstruction. Operation), Moscow: OOO Nedra-Biznestsentr, 2007.
2. Skochinsky, À.À., Komarov, V.B., Rudnichnaya ventilyatsiya (Mine Ventilation), Moscow: Ugletekhizdat, 1949.
3. Alymenko, N. I. Aerodynamic Parameters of Ventilating Passages Joined-Up with the Main Mine Fan, J. Min. Sci., 2011, vol. 47, no. 6, pp. 814–823.
4. Gou, Y., Shi, X., Zhou, J., Qiu, X., and Chen, X., Characterization and Effects of the Shock Losses in a Parallel Fan Station in the Underground Mine, Energies, 2017, vol. 10, no. 6, p. 785.
5. Purushotham, T., Sastry, B.S., and Samanta, B., Estimation of Shock Loss Factors at Shaft Bottom Junction Using Computational Fluid Dynamics and Scale Model Studies, CIM J., 2010, vol. 1, no. 2, pp. 130–139.
6. Deen, J.B., Field Verification of Shaft Resistance Equations, Proc. of the US Mine Ventilation Symp., 1991.
7. Vedeneeva, L.Ì., Study of Aerodynamic Processes in Shock Losses and Their Influence on Air Distribution in Ventilation Networks with Large Equivalent Orifice, Candidate Tech. Sci. Thesis, Perm, 1995.
8. Kazakov, B.P., Shalimov, A.V., and Levin, L.Yu., Ventilation of Heavy-Section Openings Using Fan Systems Operating Without Air Stopping, Nauki o Zemle, 2010, no. 2, pp. 89–97.
9. Hurtado, J.P., Diaz, N., Acuna, E.I., and Fernandez, J., Shock Losses Characterization of Ventilation Circuits for Block Caving Production Levels, Tunnelling and Underground Space Technology, 2014, vol. 41, no. 1, pp. 88–94.
10. Kobylkin, S.S., Kaledin, O.S., Dyadin, S.À., and Kobylkin, A.S., Assessment of Effect caused by Shock Losses on Total Aerodynamic Resistasnce of Air Ducts, Gornoe delo v XXI veke: tekhnologii, nauka, obrazovaniå, 2015, pp. 91–92.
11. Kratz, A.P. and Fellows, J.R., Pressure Losses Resulting from Changes in Cross-Sectional Area in Air Ducts, University of Illinois Bulletin, 1938, vol. 35, no. 52, pp. 3–60.
12. Posokhin, V.N., Ziganshin, À.Ì., and Varsegova, Å.V., On the Calculation of Pressure Losses in Shock Losses. Report 3, Izv. vuzov. Stroitel’stvo, 2016, no. 6, pp. 58–65.
13. Levin, L.Yu., Semin, Ì.À., and Klyukin, Yu.À., Calculation of Local Aerodynamic Resistences in Ventilation Network Models of Open-Pit and Underground Mines, Izv. TulGU. Nauki o Zemle, 2018, no. 3, pp. 265–278.
14. Semin, Ì.À., Substantiation of Mine Ventilation System Parameters in Reversing Ventilation Modes, Candidate of Tech. Sci. Thesis, Perm: GI UrO RAN, 2016.
15. Kharev, À.À., Mestnye soprotivlenya shakhtnykh ventilyatsionnykh setei (Shock Losses in Mine Ventilation Networks), Moscow: Ugletekhizdat, 1954.
16. Idel’chik, I.E., Handbook of Hydraulic Resistance, CRC Press, 1994.
17. McPherson, M.J., Subsurface Ventilation and Environmental Engineering, London: Chapman and Hall, 1993.
18. Kazakov, B.P., Shalimov, A.V., and Stukalov, V.À., Modeling of Aerodynamic Resistances for Intersections of Mine Openings, Gornyi Zhurnal, 2009, no. 12, pp. 56–58.
19. Levin, L.Yu., Semin, Ì.À., Klyukin, Yu.À., and Kiryakov, A.S., Substantiation of Air Velocity in Ventilation Channels, Gornyi Zhurnal, 2016, no. 3, pp. 68–72.


MINERAL DRESSING


EXPERIMENTAL SUBSTANTIATION OF CASSITERITE SURFACE MODIFICATION BY STABLE METAL–ABSORBENT SYSTEMS AS. A. RESULT OF SELECTIVE INTERACTION WITH IM-50 AND ZHKTM AGENTS
T. N. Matveeva, V. A. Chanturia, N. K. Gromova, V. V. Getman, and A. Yu. Karkeshkina

Academician Melnikov Institute of Comprehensive Exploitation of Mineral Resources—IPKON,
Russian Academy of Sciences, Moscow, 111020 Russia
e-mail: tmatveyeva@mail.ru

Adsorption of IM-50 and tall oil fatty acid (ZHKTM) on cassiterite is for the first time determined using the electron and laser microscopy. The micro images of cassiterite polished sections treated with the collecting agents show newly formed phases of an organic matter, the X-ray spectra of the phases feature the increased carbon content. When cassiterite interacts with IM-50 and ZHKTM, the mineral surface is modified by stable metal–absorbent systems, which promotes efficient tin recovery from tin sulphide ore. By the change in the surface relief parameters of cassiterite, the adsorption layer of IM-50 and ZHKTM agents is qualitatively and quantitatively assessed. The comparative flotation tests of cassiterite and quartz fractions prove high collecting ability of IM-50 and ZHKTM relative to tin. It is found that ZHKTM efficiently floats cassiterite in neutral and alkaline environments while IM-50 is used at higher consumption.

Cassiterite, IM-50 and ZHKTM agents, adsorption, scanning electron and laser microscopy, flotation

DOI: 10.1134/S1062739119025588 

REFERENCES
1. Khanchuk, À.I., Kemkina, R.À., Kemkin, I.V., and Zvereva, V.P., Mineralogical and Geochemical Substantiation for Processing Aged Sands from Tailing Dumps of the Solnechny Mining and Processing Plant (Komsomolsky District, the Khabarovsk Territory), Vestn. KRAUNTS. Nauki o Zemle, 2012, no. 1, pp. 22–40.
2. Yusupov, Ò.S., Kondrat’ev, S.À., and Baksheeva, I.I., Structural-Chemical and Engineering Properties of Minerals of Cassiterite–Sulphide Man-Made Raw Materials, Obogashchenie Rud, 2016, no. 5, pp. 26–31.
3. Leistner, T., Embrechts, M., Lei?ner, T., Chehren Chelgani, S., Osbahr, I., Mîckel, R., Peuker, U.A., and Rudolph, M., A Study of the Reprocessing of Fine and Ultrafine Cassiterite from Gravity Tailing Residues by Using Various Flotation Techniques, Minerals Engineering, 2016, vol. 96–97, pp. 94–98.
4. Gazaleeva, G.I., Nazarenko, L.N., Shikhov, N.V., Shigaeva, V.N., and Boikov, I.S., Development of Technology for Concentration of Tin-Containing Tailings of the Solnechny Mining and Processing Plant, Proc. 13th Int. Sci.-Tech. Conf. on Processing Ores and Man-Made Raw Materials, Yekaterinburg: Fort Dialog-Iset’, 2018.
5. Matveeva, Ò.N., Gromova, N.Ê., Minaev, V.À., and Lantsova, L.B., Modification of Sulphide Minerals and Cassiterite Surface with Stable Metal-Dibutyldithiocarbamate Complexes, Obogashchenie Rud, 2017, no. 5, pp. 15–20.
6. Matveeva, Ò.N., Chanturia, V.À., Gromova, N.Ê, and Lantsova, L.B., Study of Effect of Chemical and Phase Composition on Sorption and Flotation Properties of Tin Sulphide Ore Tailings when Using Dibutyldithiocarbamate, J. Min. Sci., 2018, vol. 54, no. 6, pp. 150–160.
7. Sreenivas, T. and Padmanabhan, N. P. H., Surface Chemistry and Flotation of Cassiterite with Alkyl Hydroxamates, Colloids and Surfaces A: Physicochemical and Engineering Aspects 205, 2002, pp. 47–59.
8. Wu, X.Q. and Zhu, J.G., Selective Flotation of Cassiterite with Benzohydroxamic Acid, Minerals Engineering, 2006, vol. 19, no. 14, pp. 1410–1417.
9. Angadi, S.I., Sreenivas, T., Ho-Seok, Jeon, Sang-Ho, Baek, and Mishra, B.K., A Review of Cassiterite Beneficiation Fundamentals and Plant Practices, Minerals Engineering, 2015, vol. 70, pp. 178–200.
10. Lopez, F.A., Garcia-Diaz, I., Rodriguez Largo, O., Polonio, F.G., and Llorens, T., Recovery and Purification of Tin from Tailings from the Penouta Sn-Ta-Nb Deposit, Minerals, 2018, vol. 8, no. 1, p. 20.
11. Matveeva, Ò.N., Gromova, N.Ê., and Minaev, V.À., Quantitative Estimate of Adsorption Layer of Combined Diethyldithiocarbamate on Chalcopyrite and Arsenopyrite by Measuring Surface Relief Parameters, Tsvet. Metally, 2018, no. 7, pp. 27–32.
12. Pol’kin, S.I. and Adamov, E.V., Obogashchenie rud tsvetnykh metallov (Concentration of Ores of Nonferrous Metals), Moscow: Nedra, 1983.
13. Matveev, À.I. and Eremeeva, N.G., Tekhnologicheskaya otsenka mestorozhdeniy olova Yakutii (Technological Assessment of Yakutian Tin Deposits), Novosibirsk: GEO, 2011.


APPLICATIONS OF COMPUTER SIMULATION FOR HYDRODYNAMICS OF MULTIPHASE MEDIA IN STUDYING SEPARATION PROCESSES IN MINERAL DRESSING
V. F. Skorokhodov, M. S. Khokhulya, A. S. Opalev, A. V. Fomin, V. V. Biryukov, and R. M. Nikitin

Mining Institute, Kola Science Center, Russian Academy of Sciences, Apatity, 184209 Russia
e-mail: skorokhodov@goi.kolasc.net.ru

The computing equipment of Computational Fluid Dynamics (CFD) for mathematical modeling of physics and physical chemistry in separation is presented. Completeness and particularization of the initial and boundary conditions in mathematical models condition validation and verification of the algorithm and results of computational experiments presenting the current state and evolution of a heterogeneous medium. There are three possible applications of the computational experiment in studying mineral dressing processes: investigation of operations in mineral processing machines; prediction of technological parameters in variation of separation modes and (or) retrofit installation; prototyping of new design equipment. The computer simulations of centrifugal classification, spiral separation, magnetic-and-gravity separation and flotation are discussed.

Computer simulation, computational fluid dynamics, prediction of technological parameters in mineral dressing, centrifugal classification, spiral separation, magnetic-and-gravity separation, flotation

DOI: 10.1134/S106273911902560X

REFERENCES
1. Samarskii, À.À., Mikhailov, À.P., Matematicheskoe modelirovanie: Idei. Metody. Primery (Mathematical Modeling: Ideas. Methods. Examples), Moscow: Fizmatlit, 2001.
2. Nigmatulin, R.I., Dinamika mnogofaznykh sred. Ch. 1 (Dynamics of Multiphase Media. Part 1), Moscow: Nauka, 1987.
3. ANSYS Fluent Theory Guide, Release 12.1 ANSYS, Inc. 2009.
4. Hirt, C.W. and Nichols, B.D., Volume of Fluid (VOF) Method for the Dynamics of Free Boundaries, J. of Computational Physics, 1981, vol. 39, no. 1, pp. 201–225.
5. Juel, A. and Talib, E., Oscillatory Kelvin-Helmholtz Instability with Large Viscosity Contrast, Manchester Centre for Nonlinear Dynamics and School of Mathematics, University of Manchester, Manchester, 2011.
6. Launder, B.E. and Spalding, D.B., Lectures in Mathematical Models of Turbulence, Academic Press: London, 1972.
7. Andersson, B. and Andersson, R., Computational Fluid Dynamics for Engineers, NY: Cambridge University Press, 2012.
8. Cundall, P.A., A Discrete Numerical Model for Granular Assemblies, Geotechnique, 1979, vol. 29, no. 1, pp. 47–65.
9. Spravochnik po obogashcheniyu rud. Podgotovitelnye protsessy (Ore Dressing Handbook. Preparatory Processes), Moscow: Nedra, 1982.
10. Povarov, A.I., Gidrotsiklony na obogatitelnykh fabrikakh (Hydrocyclones at Dressing Plants), Moscow: Nedra, 1978.
11. Lopatin, À.G., Tsentrobezhnoe obogashchenie rud i peskov (Centrifugal Dressing of Ores and Sands), Moscow: Nedra, 1987.
12. Opalev, À.S., Biryukov, V.V., and Novikova, I.V., Regularities of Magnetically Stabilized Fluidized Layer Formation in the Working Volume of a Magnetic Gravity Separator, GIAB, 2015, no. 10, pp. 118–122.
13. Opalev, À.S. and Biryukov, V.V., Improving Design of a Magnetic Gravity Separator Using Mathematical Modeling of Mineral Separation in Ferromagnetic Suspension to Increase the Depth for Ferruginous Quartzites Processing, Strategy for Ecological Development of the Mining Industry—New Views in Natural Resource Development, Proc. of the Sci.-Tech. Conf. in Apatity, Saint Petersburg: Renome, 2014.
14. Opalev, A., Biryukov, V., Khokhulya, M., and Shcherbakov, A., Substantiation of Energy-Saving Technology for Ferruginous Quartzites Processing Using Magnetic-Gravity Processing Methods, Proc. of the Int. Multidisciplinary Scientific GeoConference SGEM, 2017.
15. Skorokhodov, V.F., Nikitin, R.Ì., and Stepannikova, À.S., Initialization of Narrow Separation Fractions when Conducting a Computational Experiment on Heterogeneous Medium of the Flotation Process Model, Modern Processes of Comprehensive and Advanced Processing of Complex Mineral Raw Materials (Plaksin’s Lectures 2015), Proc. of International Conference, Irkutsk: PTS RIEL, 2015.
16. Skorokhodov, V.F., Nikitin, R.Ì., Rukhlenko, Å.D., and Veselova, Å.G., Assessment of Floatability of Feed Sample Components of Main Nepheline Flotation for Computational Experiment, Vestn. KNTS RAN, 2013, no. 2, pp. 79–91.


FINDING DEEP CONCENTRATION TECHNIQUES FOR RICH IRON ORE OF THE KURSK MAGNETIC ANOMALY
T. N. Gzogyan, S. R. Gzogyan, and E. V. Grishkina

Belgorod State University,
Belgorod, 108015 Russia
e-mail: mehanobr1@yandex.ru

The research results on deep concentration of basic mineralogical variety of natural rich ore to obtain high-quality iron ore product for metallization are presented. The main methods of mineral dressing (selective crushing, magnetic separation in weak and strong fields, gravity separation and flotation) are tested in the technological experiments. It is shown that high-quality iron ore product can be obtained from natural rich ore using a simple technology. The simple technology should be applied at the first stage of processing for maximum possible extraction of high-quality product. Wet separation processes should be used at the later stage as they unavoidably result in high loss of marketable product, as well as bring difficulties connected with dewatering and drying.

Rich iron ore, deep concentration, selective crushing, disintegration, wet magnetic separation, poly-gradient separation, gravity and flotation concentration, metallization, agglomeration product

DOI: 10.1134/S1062739119025611 

REFERENCES
1. Chanturia, V.À., Contemporary Problems of Mineral Raw Material Beneficiation in Russia, J. Min. Sci., 1999, vol. 35, no. 3, pp. 6–16.
2. Orlov, V.P., Shevyrev, I.À., and Sokolov, N.À., Zheleznye rudy KMA (Iron Ores of KMA), Moscow: Geoinformmark, 2001.
3. Knyazev, V.F., Gimmelfarb, A.I., and Nemenov, À.Ì., Beskoksovaya metallurgiya zheleza (Cokeless Iron Metallurgy), Moscow: Metallurgiya, 1972.
4. Gzogyan, Ò.N. and Gzogyan, S.R., Features of Material Composition of Rich Iron Ores in the KMA Deposits, Nauch. Vedom. BelGU, Ser. Estestv. Nauki, 2018, vol. 42, no. 2, pp. 131–141.
5. Nikulin, I.I., Geology and Genesis of Hypergenic Iron Ore Deposits (in Terms of the Kursk Magnetic Anomaly), Doctor of Geol. Min. Sci. Thesis, Moscow, 2017.


BENEFICIATION OF OXIDIZED LEAD–ZINC ORES BY FLOTATION USING DIFFERENT CHEMICALS AND TEST CONDITIONS
N. A. Mutevellioglu and M. Yekeler

Sivas Cumhuriyet University, Department of Mining Engineering Sivas, 58140 Turkey
e-mail: yekeler@cumhuriyet.edu.tr

This study presents the recovery of oxide-carbonate lead-zinc ores using different chemical reagents under different test conditions by flotation. The run-of-mine oxide-carbonate Pb-Zn ore contains 9.05% Pb and 11.97% Zn with a major mineralization of smithsonite and cerussite. First experimental work was grinding tests to reduce –106 μm size fractions with two 15-minute grinding stages. Pre-flotation tests gave similar results for Pb, but neither pH, ZnSO4, CuSO4 nor collectors like AERO 3477, 3501 and 8651 made favorable effect on the recovery of Zn. Therefore, the studies were emphasized for recovering Pb concentrate by changing the amount of chemicals used, such as CMC, Na2S, AERO promotor. After six stage of flotation with 350 g/t KAX, 275 g/t AERO 407, 7500 g/t Na2S, 1000 g/t CMC, the concentration of 70.93% Pb with 71.56% recovery was achieved. The 91.51% Zinc remained in the tailing with 14.66% Zn grade.

Oxide lead zinc ore, flotation, flotation chemicals

DOI: 10.1134/S1062739119025623 

REFERENCES
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CHANGE OF ELASTIC WAVE VELOCITY IN GRANITE AFTER RADIATION EXPOSURE AND PROSPECTS FOR ENERGY CONSUMPTION REDUCTION IN ORE PRETREATMENT
V. I. Rostovtsev

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: benevikt@misd.ru

The regular patterns are revealed in the influence exerted by the absorbed dose on the elastic wave velocity in granite after radiation exposure. It is shown that the major change in velocity of P-and S-waves in the treated cores of granite is observed when the absorbed dose is 10 kGy. The energy consumption in breaking and crushing can be estimated in the tests of uniaxial compression up to failure. Radiation exposure of granite cores to the dose of 10 kGy reduces energy consumption from 7.68 to 3.06 J in uniaxial compression up to failure and from 700.4 to 470.88 J in crushing. The obtained result is important for improvement of ore pretreatment processes.

Elastic wave velocities in granite, granite radiation exposure, ore pretreatment, estimate of energy consumption in breaking and crushing

DOI: 10.1134/S1062739119025635 

REFERENCES
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2. Chanturia, V.À. and Malyarov, P.V., Rewiev of the World’s Achievements and Prospects for the Development of Equipment and Technology for Mineral Raw Materials Disintegration in Mineral Dressing, Modern Methods of Technological Mineralogy in Comprehensive and Advanced Processing of Mineral Raw Materials: Proc. of International Scientific Conference Plaksin’s Lectures 2012, Petrozavodsk: KNTS RAN, 2012.
3. Bochkarev, G.R., Chanturia, V.A., Vigdergaus, V.E., Lunin, V.D., Viigelt, Yu.P., Rostovtsev, V.I., Voronin, A.P., Auslender, V.L., and Polyakov, V.A., Prospects of Electron Accelerators Used for Realizing Effective Low-Cost Technologies of Mineral Processing, Proc. of the 20th Int. Mineral Proc. Congr., Clausthal-Zellerfeld: GDMB, 1997.
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5. Kondrat’ev, S.À., Rostovtsev, V.I., Bochkarev, G.R., Pushkareva, G.I., and Kovalenko, Ê.À., Justification and Development of Innovative Technologies for Integrated Processing of Complex Ore and Mine Waste, J. Min. Sci., 2014, vol. 50, no. 5, pp. 187–202.
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7. Plaksin, I.N., Shafeev, R.Sh., Chanturia, V.À., and Yakushkin, V.P., About Ionising Radiation Effect on Floatability of Some Minerals, Mineral Dressing: Selectals, I. N. Plaksin (Ed.), Moscow: Nauka, 1970.
8. Rostovtsev, V.I., Kondrat’ev, S.À., and Baksheeva, I.I., Improvement of Copper-Nickel Ore Concentration under Energy Deposition, J. Min. Sci., 2017, vol. 53, no. 5, pp. 123–130.
9. Rostovtsev, V.I., About the Role of Radiation Treatment of Mineral Raw Materials in Ore Preparation Processes, J. Fundament. Appl. Min. Sci., 2018, vol. 5, no. 1, pp. 207–213.
10. Kondrat’ev, S.À., Rostovtsev, V.I., and Baksheeva, I.I., Strength Research of Rock Cores after High-Energy Electron Beam Irradiation, J. Min. Sci., 2016, vol. 52, no. 4, pp. 168–176.
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14. USSR State Standard GOST 21153.7–75. Rocks. A Method to Longitudinal and Transverse Elastic Wave Propagation Velocities.
15. Shkuratnik, V.L., Nikolenko, P.V., and Koshelev, À.Å., Stress Dependence of Elastic P-Wave Velocity and Amplitude in Coal Specimens under Varied Loading Conditions, J. Min. Sci., 2016, vol. 52, no. 5, pp. 48–53.
16. Lavrov, A.V., Shkuratnik, V.L., and Filimonov, Yu.L., Akustoemissionnyi effekt pamyati v gornykh porodakh (Acoustic-Emission Memory Effect in Rocks), Moscow: MGGU, 2004.
17. Shemyakin, E.I., Brittle Failure of Rocks, Gorn. vestnik, 1998, no. 2, pp. 10–16.
18. Gazaleeva, G.I., Bratygin, Å.V., Kurkov, À.V., and Rogozhin, À.À., On the Selection of Optimum Flow Diagrams for Ore Pretreatment, Efficient Use of Resources and Environmental Protection in Dressing and Processing of Mineral Raw Materials, Proc. of Int. Conf. Plaksin’s Lectures 2016, Moscow: Ruda i Metally, 2016.


MINING ECOLOGY AND EXPLOITATION OF THE EARTH’S BOWELS


PROCEDURE OF MACROECOLOGICAL ROUGH-DROUGHT MAPPING OF MINING AND PROCESSING INDUSTRY ZONES IN RUSSIA
G. V. Kalabin

Academician Melnikov Institute of Comprehensive Exploitation of Mineral Resources—IPKON,
Russian Academy of Sciences, Moscow, 111020 Russia
e-mail: kalabin.g@gmail.com

The methodical basis is given for the macroecological rough-draught mapping of mining and processing industry zones at a local and regional scale by the key indices and numerical values of geoecological indicators reflecting the real biota response from the results of remote sensing of vegetation cover, with description of contamination sources and production infrastructure. Judged from the functional purpose of maps, the rough-draught maps provide an assessment of current state and quality of the natural environment using the relevant standards and ratings with regard to a human being and the biota as a whole as the principal ecological subject.

Mining and processing industry, production infrastructure, contamination sources, rough-draught maps, biota, geoecological indicators

DOI: 10.1134/S1062739119025647 

REFERENCES
1. Gosudarstvennyi doklad “O sostoyanii i okhrane okruzhayushchei sredy Rossiyskoi Federatsii v 2015 godu” (State Report on Environmental State and Environmental Protection in the Russian Federation in 2015), Moscow: NIA-Priroda, 2016.
2. Main Characteristics of Russian Electric Power Industry in 2015. Available at: https://minenergo.gov.ru/ node/532.
3. Report on Electric Power Industry of Russia: Key Figures and Analysis of Functioning Indices in 2014. Available at: https//ipcrem.hse.ru/data/2015/12/10.
4. Tronin, À.À., Kritsuk, S.G., and Latypov, I.Sh., Nitrogen Dioxide in Air Basin of Russia according to Satellite Data, Sovr. Probl. Dist. Zond. Zemli iz Kosmosa, 2009, vol. 6, no. 2, pp. 217–223.
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7. Kochurov, B.I., Shishkina, D.Yu., Antipova, À.V., and Kostovska, S.Ê., Geoekologicheskoe kartografirovanie (Geoecological Mapping), Moscow: MGU, 2012.
8. Kochurov, B.I., Principles for Developing Maps of Environmental State Assessment and Methods of Scientific Modeling in Studying a Human Being and Human Habitat, Interuniversity Collection of Scientific Papers, Kolomna: KGPI, 1997.
9. Kalabin, G.V., Assessment of Ecological Impact in Mining Areas by Biota Response, J. Min. Sci., 2018, vol. 54, no. 3, pp. 168–176.
10. Lozenko, V.Ê. and Brusnitsyn, À.N., Regional and Local Isolated Energy Systems of Russia. Available at: http://www.kudrinbi.ru/public/3810/index.htm.


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