JMS, Vol. 55, No. 5, 2019
GEOMECHANICS
INFLUENCE OF THE BACHATSKY EARTHQUAKE ON METHANE EMISSION IN ROADWAYS IN COAL MINES
M. V. Kurlenya, M. N. Tsupov, and A. V. Savchenko
Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: lion_ltd@ngs.ru
The geological information on coal reserves within fields of the Chertinskaya-Yuzhnaya and Chertinskaya-Koksovaya mines situated in the vicinity of an earthquake focus is given. Methane emission in roadways of the mines is determined, and the model diagram of methane concentrations before and after the earthquake is obtained. The earthquake load on coal seams is estimated.
Earthquake, seismic energy, methane, coal seam, roadways
DOI: 10.1134/S1062739119056051
REFERENCES
1. Monakhov, F.I. and Bozhkova, L.I., Hydrogeodynamic Precursor of the Kurile Earthquakes, Gidrohim. Predv. Zeml., 1985.
2. Kissin, I.G., Zemletryaseniya i podzemnye vody (Earthquakes and Underground Waters, Moscow: Nauka, 1982.
3. Alekseev, A.S., Geza, N.I., et al., Mekhamizm intensifikatsii dobychi nefti v vibroseismicheskom pole (Oil Production Stimulation Mechanism in a Vibroseismic Field), Active Seismology with Powerful Vibration Sources, Novosibirsk: SO RAN, 2004.
4. Gadiev, S.M., Ispol’zovanie vibratsii v dobyche nefti (The Use of Vibration in Oil Production), Moscow: Nedra, 1977.
5. Smirnova, M.N., Vozbuzhdennye zemletryaseniya v svyazi s razrabotkoi neftyanykh mestorozhdeniy (na primere Starogroznenskogo zemletryaseniya) (Induced Earthquakes due to Oilfield Development (On the Example of Starogroznensky Earthquake)), Engineering Influence on Seismic Setting, Moscow: Nauka, 1977.
6. Boyarka, V.I., Change in Oil Production due to Aftershocks of Starogroznensky Earthquake, Geol. Poisk. Razv. Mest. Gor. Pol. Iskop., 1975, no. 1, pp. 141–144.
7. Kopylova, G.N., Change in Water Level in Well SW-5, Kamchatka, Caused by Earthquakes, Vulkanolog. Siesmolog., 2006, no. 6, pp. 1–13.
8. Boldina, S.V., Hydrogeodynamic Effects of Earthquakes in Well-Water-Bearing Material System, Cand. Geol. Min. Sci. Thesis, Petropavlovsk-Kamchatsky, 2015.
9. Si, G., Durucan, S., Jamnikar, S., Lazar, J., Abraham, K., Korre, A., Shi, Ji-Q., Zavsek, S., Mutke, G., and Lurka, A., Seismic Monitoring and Analysis of Excessive Gas Emissions in Heterogeneous Coal Seams, J. Coal Geol., 2015, vol. 149, pp. 41–54. DOI: 10.1016/j.coal.2015.06.016.
10. Li, T., Cai, M. F., and Cai, M., Earthquake-Induced Unusual Gas Emission in Coalmines—A km-Scale In-Situ Experimental Investigation at Laohutai mine, J. Coal Geol., 2007, vol. 71, pp. 209–224.
11. Wen, Z., Wang, X., Tan, Y., Zhang, H., Huang, W., and Li, Q., A Study of Rockburst Hazard Evaluation Method in Coal Mine, Shock and Vibration, 2016, vol. 2016, pp. 1–9. DOI:10.1155/2016/8740868.
12. Informatsionnoe soobshchenie ob oshchutimom zemletryasenii v Kuzbasse 18.06.2013 (Information Message about a Sensible Earthquake in Kuzbass on 18.06.2013), Geophysical Survey of the RAS [Electronic Source]. Availble at: http://www.ceme.gsras.ru/cgi-bin/info_quake.pl?mode=1&id=221#tab1.
13. Tsupov, Ì.N. and Savchenko, À.V., Influence of Seismic Events on the Yield of Liquid and Gaseous Mineral Resources, Interexpo Geo-Sibir, 2014, vol. 2, no. 4, pp. 252–256.
14. Savchenko, À.V. and Tsupov, Ì.N., Influence of Seismic Events on Methane Release of Coal Seams, Fund. Prikl. Vopr. Gorn. Nauk, 2014, vol. 1, no. 2, pp. 35–42.
15. Kreinin, Å.V., Netraditsionnye uglevodorodnye istochniki: novye tekhnologii ikh razrabotki (Unconventional Hydrocarbon Sources: New Technologies for Their Development), Moscow: Prospekt, 2015.
16. Alekseev, À.D., Vasil’kovsky, V.À., Starikov, G.P., and Spozhakin, À.I., Methane Distribution in Coal and Express Diagnostics of Methane Subsystem in a Coal Seam, GIAB, 2009, Instalment 11 Methane, pp. 273–292.
17. Vasil’kovsky, V.À., Kalugina, N.A., and Molchanov, À.N., Phase States and Mechanisms of Methane Desorption from Coal, Fiz. Tekh. Probl. Gorn. Proizv., 2006, no. 9, pp. 62–70.
18. Wu, F.T., Lower Limit of the Total Energy of Earthquakes and Partitioning of Energy among Seismic Waves, Ph.D, Thesis, California Institute of Technology, 1966.
19. Kanamori, H., Mori, J., Hauksson, E., Heaton, Th.H., Hutton, L.K., and Jones, L.M., Determination of Earthquake Energy Release and ML Using TERRAscope, Bulletin of the Seismological Society of America, 1993, vol. 83, no. 2, pp. 330–346.
20. Brune, J., Tectonic Stress and the Spectra of Seismic Shear Waves from Earthquakes, J. Geophys. Res., 1970, vol. 75, no. 26, pp. 4997–5009.
21. Besedina, À.N., Kabychenko, N.V., and Kocharyan, G.G., Low-Magnitude Seismicity Monitoring in Rocks, J. Min. Sci., 2013, vol. 49, no. 5, pp. 691–703.
22. Keilis-Borok, V.I., Investigation of the Mechanism of Earthquakes, Sots. Res. Geophys, 1960, pp. 4–29.
23. Riznichenko, Yu.V., Problemy seismologii (Problems of Seismology), Moscow: Nauka, 1985.
24. Hanks, Th.C. and Wyss, M., The Use of Body-Wave Spectra in the Determination of Seismic-Source Parameters, Bulletin of the Seismological Society of America, 1972, vol. 62, no. 2, pp. 561–589.
25. Zhalkovsky, N.D., Tsibul’chik, G.M., and Tsibul’chik, I.D., Hodographs of Seismic Waves and Thickness of the Earth’s Crust in the Altai-Sayan Folded Region According to the Registration of Industrial Explosions and Local Earthquakes, Geolog. Geofiz., 1965, no. 1, pp. 173–179.
26. Rautian, Ò.G., Attenuation of Seismic Waves and Earthquake Energy, Trudy Inst. Seismolog. Seismost. Stroit. AN Tadzh.SSR, 1960, no. 7, pp. 41–96.
27. Lovchikov, À.V. and Savchenko, S.N., The Induced Nature of the Bachatsky Earthquake on 18.06.2013, Proc. of the 4th Tectonophys. Conf. at the Institute of Physics of the Earth, RAS, Tectonophysics and Topical Issues of Earth Sciences, Moscow: IFZ RAN, 2016.
MICROSTRUCTURE OF COAL BEFORE AND AFTER GAS-DYNAMIC PHENOMENA
E. V. Ul’yanova, O. N. Malinnikova, B. N. Pashichev, and E. V. Malinnikova
Academician Melnikov Research Institute of Comprehensive Exploitation of Mineral Resources,
Russian Academy of Sciences, Moscow, 111020 Russia
e-mail: ekaterina-ulyanova@yandex.ru
Moscow State University of Geodesy and Cartography, Moscow, 107064 Russia
The applicability of calculated information entropy to quantification of coal structure nonuniformity at a microlevel is demonstrated. The calculations used digital images of coal surface from scanning electron microscopy after thousandfold increase. The calculated statistical entropy–complexity values enable comparing structural nonuniformity of coal sampled from outbursts, as well as from outburst-hazardous and outburst-nonhazardous zones. It is found that coal from outburst-hazardous zones contain areas of highly chaotic structure as against the ordered structure of coal from outburst-nonhazardous zones. Outburst coal is free from chaotic structures though its structure is less ordered than in coal from outburst-nonhazardous zones. The proposed method allows detecting the certainly outburst-nonhazardous zones in coal seams using digital images of coal samples.
Coal, gas-dynamic phenomena, outburst-hazardous and outburst-nonhazardous zones, digital images of coal surface, statistical entropy and complexity
DOI: 10.1134/S1062739119056063
REFERENCES
1. Skochinsky, À.À., Sovremennoe sostoyanie izuchennosti problemy vnezapnykh vybrosov uglya i gaza v shakhtakh. Nauchnye issledovaniya v oblasty bor’by s vnezapnymi vybrosami uglya i gaza (Current State of Knowledge of the Problems of Sudden Coal and Gas Outbursts in Mines. Scientific Research in the Field of Sudden Coal and Gas Outbursts Control), Moscow: Ugletekhizdat, 1958.
2. Khodot, V.V., Vnezapnye vybrosy uglya i gaza (Sudden Coal and Gas Outbursts), Moscow: Gosgortekhizdat, 1961.
3. Gagarin, S.G., Eremin, I.V., and Lisurenko, À.V., Structural and Chemical Aspects of Disturbance of Bituminous Coals from Outburst-Hazardous Seams, Khim. Tverd. Topl., 1997, no. 3, pp. 3–14.
4. Ivanov, B.Ì., Feit, G.N., and Yanovskaya, Ì.F., Mekhanicheskie i fiziko-khimicheskie svoystva ugley vybrosoopasnykh plastov (Mechanical and Physicochemical Properties of Coals from Outburst-Hazardous Seams), Moscow: Nauka, 1979.
5. Petukhov, I.Ì. and Lin’kov, À.Ì., Mekhanika gornykh udarov i vybrosov (Mechanics of Rockbursts and Outbursts), Moscow: Nedra, 1983.
6. Ayruni, À.Ò., Prognozirovanie i predotvrashchenie gazodinamicheskikh yavleniy v shakhtakh (Prediction and Prevention of Gas-Dynamic Phenomena in Mines), Moscow: Nauka, 1987.
7. Lama, R.D. and Bodziony, J., Management of Outburst in Underground Coal Mines, J. Coal Geol., 1998, vol. 35, pp. 83–115.
8. Cao, Y., He, D., and Glick, D.C., Coal and Gas Outbursts in Footwalls of Reverse Faults, J. Coal Geol., 2001, vol. 48, pp. 47–63.
9. Oparin, V.N., Kiryaeva, Ò.À., Gavrilov, V.Yu., Shutilov, R.À., Kovchavtsev, À.P., Tanaino, À.S., Efimov, V.P., Astrakhantsev, I.E., and Grenev, I.V., Interaction of Geomechanical and Physicochemical Processes in Kuzbass Coal, J. Min. Sci., 2014, vol. 50, no. 2, pp. 191 – 214.
10. Han, Y., Wang, J., Dong, Y., Hou, Q., and Pan, J., The Role of Structure Defects in the Defomation of Anthracite and Their Influence on the Macromolecular Structure, Fuel, 2017, vol. 206, pp. 1–9.
11. Chanyshev, A.I. and Belousova, Î.Å., A Method to Describe Hierarchical Block Structure of Rock Mass, Considering Nonuniformity of Mechanical Properties, J. Min. Sci., 2017, vol. 53, no. 3, pp. 441–448.
12. Tang, Z., Yang, S., Zhai, C., and Xu, Q., Coal Pores and Fracture Development during CBM Drainage: Their Promoting Effects on the Propensity for Coal and Gas Outbursts, J. Natural Gas Sci. and Eng., 2018, vol. 51, pp. 9–17.
13. Reuter, Ì., Krach, Ì., Kie?ling, U., and Veksler, Ju., Geomechanical State of Production Faces in Polysaevskaya Coal Mine in Kuzbass, J. Min. Sci., 2017, vol. 53, no. 1, pp. 43–48.
14. Beamish, B.B. and Crosdale, P.J., Instantaneous Outbursts in Underground Coal Mines: An Overview and Association with Coal Type, J. Coal Geol., 1998, vol. 35, nos. 1–4, pp. 27–55.
15. Khrenkova, Ò.Ì. and Goldenko, N.L., Research of Products of Mechanical Destruction of Gas Coal Used in the Hydrogenation Process, Khim. Tverd. Topl., 1978., no. 5, pp. 43–45.
16. Khrenkova, Ò.Ì. and Kirda, V.S., Mechanical Activation of Coals, Khim. Tverd. Topl., 1994, no. 6, pp. 36–42.
17. Frolkov, G.D. and Frolkov, A.G., Mechanochemical Concept of Outburst Hazard of Coal Seams, Ugol’, 2005, no. 2, pp. 18–22.
18. Frolkov, G.D., Lipchnsky, À.F., and Frolkov, A.G., About Mechanochemical Nature of Coal Methane Releases, Bezop. Trud. Prom., 2006, no. 7, pp. 50–53.
19. Bulat, À.F., Mineev, S.P., and Prusova, À.À., Generating Methane Adsorption under Relaxation of Molecular Structure of Coal, J. Min. Sci., 2016, vol. 52, no. 1, pp. 70–77.
20. Malinnikova, Î.N., Uchaev, Dm.V., and Uchaev, D.V., Multifractal Assessment of Coal Seam Propensity, GIAB, 2009, no. 12, pp. 214–233.
21. Trubetskoy, Ê.N., Ruban, À.D., Viktorov, S.D., Malinnikova, Î.N., Odintsev, V.N., Kochanov, A.N.,
and Uchaev, D.V., Fractal Structure of Disturbance of Bituminous Coal and Their Proneness to Gas-Dynamic Destruction, DAN, 2010, vol. 431, no. 6, pp. 818–821.
22. Kurako, Ì.À., Simonov, Ê.V., and Kudrya, N.Î., Traces of Marine Natural Disasters: Numerical Data Analysis, Obraz. Res. Tekh., Spec. Issue, 2016, no. 2 (14), pp. 186–192.
23. Ribeiro, H.V., Zunino, L., Lenzi, E.K., Santoro, P.A., and Mendes, R.S., Complexity-Entropy Causality Plane as a Complexity Measure for Two-Dimensional Patterns, PLoS ONE, 2012, vol. 7, no. 8, e40689.
24. Lopez-Ruiz, R., Mancini, H.L., and Calbet, X., A Statistical Measure of Complexity, Phys. Let. A, 1995, vol. 209, pp. 321–326.
25. Bandt, C. and Pompe, B., Permutation Entropy: A Natural Complexity Measure for Time Series, Phys. Rev. Let., 2002, vol. 88, no. 17, p. 174102.
26. Brazhe, A., Shearlet-Based Measures of Entropy and Complexity for Two-Dimensional Patterns, Phys. Rev. E 97, 2018, p. 061301(7).
27. Lamberti, P.W., Martin, M.T., Plastino, A., and Rosso, O.A., Intensive Entropic Non-Triviality Measure, Physica A: Statistical Mechanics and Its Applications, 2004, vol. 334, nos. 1–2, pp. 119–131.
28. Zunino, L., and Ribeiro, H.V., Discriminating Image Textures with the Multiscale Two-Dimensional Complexity-Entropy Causality Plane, Chaos, Solitons and Fractals, 2016, vol. 91, pp. 679–688.
29. Malinnikova, Î.N., Ul’yanova, Å.V., Dolgova, Ì.Î., and Zverev, I.V., Change in Fossil Coal Microstructure due to Sudden Coal and Gas Outbursts, Gornyi Zhurnal, 2017, no. 11, pp. 27–32.
30. Alekseev, À.D., Ul’yanova, Å.V., Vasil’kovsky, V.À., Razumov, Î.N., Zimina, S.V., and Skoblik, À.P., Features of the Structure of Coals from Outburst-Hazardous Zones, GIAB, 2010, no. 8, pp. 164–179.
STRESS–PERMEABILITY DEPENDENCE IN GEOMATERIALS FROM LABORATORY TESTING OF CYLINDRICAL SPECIMENS WITH CENTRAL HOLE
L. A. Nazarova, L. A. Nazarov, N. A. Golikov, and A. A. Skulkin
Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: lazanarova@ngs.ru
Trofimuk Institute of Oil&Gas Geology and Geophysics, Novosibirsk, 630090 Russia
Novosibirsk State Technical University, Novosibirsk, 630073 Russia
The laboratory setup is designed and manufactured to carry out permeability tests of cylindrical specimens with central hole modeling performance conditions of real producing wells under nonuniform stresses. The series of tests is accomplished with artificial specimens made of medium-grain sand conditioned by cryogel. The empirical dependence of permeability on effective stress is found; it is approximated by an exponential function with coefficient α = 0.0021 MPa-1, which is an order of magnitude higher than α estimated based on compressibility of geomaterials and rocks.
Poroelastic medium, flow, laboratory test, cryogel, disc specimen, permeability, effective stress
DOI: 10.1134/S1062739119056075
REFERENCES
1. Fjaer, E., Holt, R.M., Raaen, A.M., Risnes, R., and Horsrud, P., Petroleum Related Rock Mechanics, Elsevier, 2008.
2. Dake, L.P., The Practice of Reservoir Engineering (Revised Edition), Elsevier, 2001.
3. Speight, J.G., An Introduction to Petroleum Technology, Economics, and Politics, John Wiley & Sons Limited, 2011.
4. Van Golf-Racht, T., Fundamentals of Fractured Reservoir Engineering, Elsevier, 1982.
5. Holt, R.M., Permeability Reduction Induced by a Nonhydrostatic Stress Field, SPE Formation Evaluation, 1990, no. 12, pp. 44–448.
6. Ghabezloo, S., Sulem, J., Guedon, S., and Martineau, F., Effective Stress Law for the Permeability of a Limestone, J. Rock Mech. and Min. Sci., 2009, vol. 46, pp. 297–306.
7. Espinoza, D.N., Vandamme, M., Pereira, J.M., Dangla, P., and Vidal-Gilbert, S., Measurement and Modeling of Adsorptive–Poromechanical Properties of Bituminous Coal Cores Exposed to CO2: Adsorption, Swelling Strains, Swelling Stresses and Impact on Fracture Permeability, J. Coal Geol., 2014, vol. 134–135, pp. 80–95.
8. Pan, Z. and Connell, L.D., Modeling Permeability for Coal Reservoirs: A Review of Analytical Models and Testing Data, J. Coal Geol., 2012, vol. 92, pp. 1–44.
9. Nazarov, L.A., Nazarova, L.A., Golikov, N.À., and Khan, G.N., Permeabilities of Granulated Geomaterial from Stresses, GIAB, 2018, no. S49, pp. 71–81.
10. Urumovic, K. and Urumovic, S.K., The Effective Porosity and Grain Size Relations in Permeability Functions, Hydrology and Earth System Sciences Discussions, 2014, vol. 11, pp. 6675–6714.
11. Schutjens, P. M. T.M., Hanssen, T.H., Hettema, M. H. H., Merour, J., de Bree, P., Coremans, J. W. A.,
and Helliesen, G.J., Compaction-Induced Porosity/Permeability Reduction in Sandstone Reservoirs: Data and Model for Elasticity-Dominated Deformation, SPE Reservoir Evaluation & Engineering, 2004, vol. 7 (3), pp. 202–216.
12. Rhett, D.W. and Teufel, L.W., Effect of Reservoir Stress Path on Compressibility and Permeability of Sandstones, SPE Paper, no. 24756, Proc. of SPE Annual Technical Conference and Exhibition Washington DC, 1992.
13. Randall, M.S., Conway, M., Salter, G., and Miller, S., Pressure-Dependant Permeability in Shale Reservoirs Implications for Estimated Ultimate Recovery, AAPG Search and Discovery Article, 2011.
14. Ma, J., Review of Permeability Evolution Model for Fractured Porous Media, J. Rock Mech. and Geo. Eng., 2015, vol. 7 (3), pp. 351–357.
15. Peng, S. and Zhang, J., Stress-Dependent Permeability, Engineering Geology for Underground Rocks, Springer, Berlin, Heidelberg, 2007.
16. El’tsov, I.N., Nazarov, L.A., Nazarova, L.A., Nesterova, G.V., and Epov, Ì.I., Interpretation of Geophysical Measurements in Wells with Regard to Hydrodynamic and Geomechanical Processes in Penetration Area, DAN, 2012, vol. 445, no. 6, pp. 677–680.
17. Nazarov, L.A., Nazarova, L.A., Epov, Ì.I., and El’tsov, I.N., Evolution of Geomechanical and Electro-Hydrodynamic Fields in Deep Well Drilling in Rocks, J. Min. Sci., 2013, vol. 49, no. 5, pp. 704–714.
18. Torsaeter, O. and Abtahi, M., Experimental Reservoir Engineering, Laboratory Work Book, Department of Petroleum Engineering and Applied Geophysics Norwegian University of Science and Technology, 2003.
19. Jaeger, J.C., Cook, N. G. W., and Zimmerman, R., Fundamentals of Rock Mechanics, Wiley, 2007.
20. Nazarova, L.A. and Nazarov, L.A., Geomechanical and Hydrodynamic Fields in Producing Formation in the Vicinity of Well with Regard to Rock Mass Permeability-Effective Stress Relationship, J. Min. Sci., 2018, vol. 54, no. 4, pp. 541–549.
21. RF State Standard GOSÒ 8736–2014. Sand for Construction Works, Moscow: Standartinform, 2019.
22. Manzhay, V.N. and Fufaeva, Ì.S., Properties of Cryogels and Their Use in Oil Production and Transport Technologies, Neft. Gaz, 2011, no. 6, pp. 104–109.
23. USSR State Standard GOSÒ 26450.2–85. Rocks. A Method to Determine Absolute Permeability Index under Stationary and Nonstationary Filtration.
24. USSR State Standard GOSÒ 28985–91. Rocks. A Method to Determine Deformation Characteristics under Uniaxial Compression.
25. USSR State Standard GOSÒ 21153.2–84. Rocks. A Method to Determine Ultimate Strength under Uniaxial Compression.
26. Coussy, O., Mechanics and Physics of Porous Solids, John Wiley & Son Ltd, 2010.
27. Nazarova, L.A., Nazarov, L.A., Shkuratnik, V.L., Protasov, M.I., and Nikolenko, P.V., An Acoustic Approach to the Estimation of Rock Mass State and Prediction of Induced Seismicity Parameters: Theory, Laboratory Experiments, and Case Study, ISRM AfriRock—Rock Mechanics for Africa, 2017.
28. Nazarov, L.A., Nazarova, L.A., Karchevsky, A.L., and Panov, A.V., Estimation of Stresses and Deformation Properties in Rock Mass Based on Inverse Problem Solution Using Measurement Data of Free Boundary Displacement, Sib. Zh. Industr. Matem., 2012, vol. 15, no. 4, pp. 102–109.
29. Shchelkachev, V.N., Izbrannye trudy: v 2 t. (Selected Writings: in 2 Volumes), Moscow: Nedra, 1990.
LAB-SCALE MODELING OF PORE FLUID FLOW IN SAMPLES OF MANMADE SUBSTANCE FROM TAILINGS PONDS
D. O. Kucher, T. V. Korneeva, and S. B. Bortnikova
Trofimuk Institute of Oil and Gas Geology and Geophysics, Novosibirsk, 630090 Russia
e-mail: korneevatv@ipgg.sbras.ru
The flow of pore fluid is modeled on a lab scale with samples of man-made substance from tailings ponds. The data obtained in the gravimetric and apparent resistance tests are presented. It is found that capillary forces make the main contribution to flow of solutions from a pollution source. This allowed estimation of nature and velocity of the process. The experimental results show high-rate vertical and lateral spreading of solid waste substance from sources of drainage solutions, which has detrimental effect on ecology of the nearby lands and water bodies.
Manmade substance, permeability, porosity, electrotomography method, capillary penetration, permeation velocity
DOI: 10.1134/S1062739119056087
REFERENCES
1. Nazarova, L.A., Nazarov, L.A., Dzhamanbaev, Ì.D., and Chanybaev, Ì.Ê., Evolution of Thermodynamic Fields at Tailings Dam at Kumtor Mine (Kyrgyz Republic), J. Min. Sci., 2015, vol. 51, no. 1, pp. 17–22.
2. Oparin, V.N., Potapov, V.P., and Giniyatullina, Î.L., Integrated Assessment of the Environmental Condition of the High-Loaded Industrial Areas by the Remote Sensing Data, J. Min. Sci., 2014, vol. 50, no. 6, pp. 1079–1087.
3. Chainikov, V.V., Sistemnaya otsenka tekhnogennykh mestorozhdeniy (Systematic Assessment of Technogenic Deposits), Geolog. Metod. Poisk. Razv. Ots. Mest. Tverd. Polezn. Iskop., 1999.
4. Yurkevich, N.V., Karin, Yu.G., and Kuleshova, Ò.À., Ñomposition of the Dump of Beloklyuchevsky Gold Deposit According to Electromagnetic Scanning and Geochemical Testing Data, in: Problems of Geology and Subsoil Development, Proc. of Academician M. A. Usov 21st Int’l Symposium of Students and Young Scientists, 2017.
5. Olenchenko, V.V., Kucher, D.O., Bortnikova, S.B., Gaskova, O.L., Edelev, A.V., and Gora, M.P., Vertical and Lateral Spreading of Highly Mineralized Acid Drainage Solutions (Ur Dump, Salair): Electrical Resistivity Tomography and Hydrogeochemical Data, J. Russian Geol. and Geoph., 2016, vol. 57, no. 4, pp. 617–628.
6. Bortnikova, S., Olenchenko, V., Gaskova, O., Yurkevich, N., Abrosimova, N., Shevko, E., Edelev, A., Korneeva, T., Provornaya, I., and Eder, L., Characterization of a Gold Extraction Plant Environment in Assessing the Hazardous Nature of Accumulated Wastes (Kemerovo Region, Russia), Applied Geochemistry, 2018, vol. 93, pp. 145–157.
7. Kirillov, M.V., Bortnikova, S.B., Gaskova, O.L., and Shevko, E.P., Authigenic Gold in Stale Tailings of Cyanide Leaching of Gold–Sulfide–Quartz Ores (Komsomolsky Gold Extracting Factory, Kemerovo Region), Doklady Earth Sciences, 2018, vol. 481, no. 2., pp.1091–1094.
8. Aachib, M., Aubertin, M., and Mbonimpa, M., Laboratory Measurements and Predictive Equations for Gas Diffusion Coefficient of Unsaturated Soils, Proc. of the 55th Canadian Geotechnical and Joint IAH-CNC and CGS Groundwater Speciality Conferences, Niagara Falls, 2002.
9. Nicholson, R.V., Gillham, R.W., Cherry, J.A., and Reardon, E.J., Reduction of Acid Generation in Mine Tailings through the Use of Moisture-Retaining Cover Layers as Oxygen Barriers, J. Canadian Geotech., 1989, vol. 26, pp. 1–8.
10. Aubertin, M., Bussiere, B., Monzon, M., Joanes, A.M., Gagnon, D., Barbera, J.M., Aachib, M., Bedard, C., and Chapuis, R., Etude sur les Barriere Seches Construites a partir de Residues Miniers: Phase IIEssais en Place, NEDEM/MEND Report 2.22, 1999.
11. Bussiere, B., Aubertin, M., and Chapuis, R., The Behaviour of Inclined Covers Used as Oxygen Barriers, J. Canadian Geotech., 2003, vol. 40, no. 3, pp. 512–535.
12. Mbonimpa, M., Aubertin, M., Aachib, M., and Bussiere, B., Diffusion and Consumption of Oxygen in Unsaturated Cover Materials, J. Canadian Geotech., 2003, vol. 40, pp. 916–932.
13. Molson, J.W., Fala, O., Aubertin, M., and Bussiere, B., Numerical Simulations of Sulphide Oxidation, Geochemical Speciation and Acid Mine Drainage in Unsaturated Waste Rock Piles, in submission to Environmental Geology, 2004.
14. Barabanov, V.L., Empirical Parameters of the Model of Countercurrent Capillary Impregnation of Rocks, Geofiz. Issled., 2014, vol. 15, no. 1, pp. 27–52.
15. Washburn, E.W., The Dynamics of Capillary Flow, Physical Review, 1921, vol. 17, pp. 273–283.
INFLUENCE OF STRESS VARIATION IN ROOF ROCKS OF COAL SEAM ON STRATA GAS CONDITIONS IN LONGWALLING
V. A. Trofimov and Yu. A. Filippov
Academician Melnikov Research Institute of Comprehensive Exploitation of Mineral Resources,
Russian Academy of Sciences, Moscow, 111020 Russia
e-mail: asas_2001@mail.ru
Mining of a horizontal isolated seam in a uniform medium in plane strain conditions is considered. The stress distribution in roof rocks of the coal seam is obtained at different stages of mined-out area development. The stresses are governed by the complex-variable function, which allows determining location and configuration of zones of stress relaxation and additional load in rock mass. This information is required for estimation of induced jointing and formation of gas pockets in the coal seam parting. The use of the analytical solution makes it possible to obtain relations for finding stress concentration factors and to present the related parameters as contour lines.
Coal seam, stress–strain behavior, permeation, permeability, relaxation, additional load, complex-potential method
DOI: 10.1134/S1062739119056099
REFERENCES
1. Alcalde-Gonzalo, J., Prendes-Gero, M.B., Alvarez-Fernandez, M.I., Alvarez-Vigil, A.E., and Gonzalez-Nicieza, C., Roof Tensile Failures in Underground Excavations, Int. J. Rock Mech. and Min. Sci., 2013, vol. 58, pp. 141–148.
2. Diederichs, M.S. and Kaiser, P.K., Stability of Large Excavations in Laminated Hard Rock Masses: The Voussoir Analogue Revisited, Int. J. Rock Mech. and Min. Sci., 1999, vol. 36, pp. 97–117.
3. Jinfeng, J. and Jialin, X., Structural Characteristics of Key Strata and Strata Behaviour of a Fully Mechanized Longwall Face with 7.0 m Height Chocks, Int. J. Rock Mech. and Min. Sci., 2013, vol. 58, pp. 46–54.
4. Huayang, D., Xugang, L., Jiyan, L., Yixin, L., Yameng, Z., Weinan, D., and Yinfei, C., Model Study of Deformation Induced by Fully Mechanized Caving below a Thick Loess Layer, Int. J. Rock Mech. and Min., 2010, vol. 47, pp. 1027–1033.
5. Weishen, Z., Yong, L., Shucai, L., Shugang, W., and Qianbing, Z., Quasi-Three-Dimensional Physical Model Tests on a Cavern Complex under High In-Situ Stresses, Int. J. Rock Mech. and Min., 2011, vol. 48, pp. 199–209.
6. Liu, Y., Zhou, F., Liu, L., Liu, C., and Hu, S., An Experimental and Numerical Investigation on the Deformation of Overlying Coal Seams above Double-Seam Extraction for Controlling Coal Mine Methane Emissions, Int. J. Coal Geology, 2011, vol. 87, pp. 139–149.
7. Ghabraie, B., Ren, G., Zhang X., and Smith, J., Physical Modelling of Subsidence from Sequential Extraction of Partially Overlapping Longwall Panels and Study of Substrata Movement Characteristics, Int. J. Coal Geology, 2015, vol. 140, pp. 71–83.
8. Ghabraie, B., Ren, G., Smith, J., and Holden, L., Application of 3D Laser Scanner, Optical Transducers and Digital Image Processing Techniques in Physical Modelling of Mining-Related Strata Movement, Int. J. Rock Mech. and Min. Sci., 2015, vol. 80, pp. 219–230.
9. Kurlenya, M.V. and Mirenkov, V.E., Phenomenological Model of Rock Deformation around Mine Workings, J. Min. Sci., 2018, vol. 54, no. 2, pp. 181–186.
10. Alejanoa, L.R., RamoArez-Oyanguren, P., and Taboada, J., FDM Predictive Methodology for Subsidence due to Flat and Inclined Coal Seam Mining, Int. J. Rock Mech. and Min. Sci., 1999, vol. 36, pp. 475–491.
11. Tugrul, U., Hakan, A., and Ozgur, Y., An Integrated Approach for the Prediction of Subsidence for Coal Mining Basins, Eng. Geol., 2013, vol. 166, pp. 186–203.
12. Pavlova, L.D. and Fryanov, V.N., Investigation of the Effect of a Moving Stoping Face on the Nature of Hanging and Cyclical Caving of Undermined Rocks from Coal Seam Roof, Izv. TPU, 2005, vol. 308, no. 1, pp. 39–44.
13. Makarov, P.V., Smolin, I.Yu., Evtushenko, Å.P., Trubitsyn, À.À., Trubitsyn, N.V., and Voroshilov, S.P., Modeling of Roof Caving above the Mined-Out Space, Fiz. Mezomekh., 2008, vol. 11, no. 1, pp. 44–50.
14. Shivakumar, K., Raj, D., Mosse, L., and Cleary, P.W., Application of a Mesh-Free Continuum Method for Simulation of Rock Caving Processes, Int. J. Rock Mech. and Min. Sci., 2011, vol. 48, pp. 703–711.
15. Alehossein, H. and Poulsen, B.A., Stress Analysis of Longwall Top Coal Caving, Int. J. Rock Mech. and Min. Sci., 2010, vol. 47, pp. 30–41.
16. Suchowerska, A.M., Merifield, R.S., Carter, J.P., and Clausen, J., Prediction of Underground
Cavity Roof Collapse Using the Hoek–Brown Failure Criterion, Computers and Geotechnics, 2012, vol. 44, pp. 93–103.
17. Rafiqul, Islam Md., Daigoro, H., and Kamruzzaman A. B. M., Finite Element Modeling of Stress Distributions and Problems for Multi-Slice Longwall Mining in Bangladesh, with Special Reference to the Barapukuria Coal Mine, Int. J. Coal Geol., 2009, vol. 78, pp. 91–109.
18. Rezaei, M., Hossaini, M.F., and Majdi, A., Determination of Longwall Mining-Induced Stress Using the Strain Energy Method, J. Rock Mech. Rock Eng., 2015, vol. 48, pp. 2421–2433.
19. Kurlenya, M.V. and Mirenkov, V.E., Deformation of Ponderable Rock Mass in the Vicinity of a Finite Straight-Line Crack, J. Min. Sci., 2018, vol. 54, no. 6, pp. 893–898.
20. Wang, W., Cheng, Y., Wang, H.F., Liu, H.Y., Wang, L., Li, W., and Jiang, J.Y., Fracture Failure Analysis of Hard–Thick Sandstone Roof and Its Controlling Effect on Gas Emission in Underground Ultra-Thick Coal Extraction, J. Eng. Failure Analysis, 2015, vol. 54, pp. 150–162.
21. Muskhelishvili, N.I., Nekotoryye osnovnyye zadachi matematicheskoy teorii uprugosti (Some Basic Problems of Mathematical Elasticity Theory), Moscow: Nauka, 1966.
22. Khristianovich, S.À. and Kuznetsov S. V., O napryazhennom sostoyanii gornogo massiva pri provedenii ochistnykh rabot. Gornoye davleniye (Rock Mass Stress State during Stoping. Rock Pressure), Leningrad: VNIMI, 1965.
23. Trubetskoi, K.N., Kuznetsov, S.V., and Trofimov, V.A., Stress State and Failure of Seam Contacts with Enclosing Rocks in Driving a Stope, J. Min. Sci., 2001, vol. 37, no. 4, pp. 345–353.
24. Kuznetsov, S.V. and Trofimov, V.A., Deformation of a Rock Mass during Excavation of a Flat Sheet-Like Hard Mineral Deposit, J. Min. Sci., 2007, vol. 43, no. 4, pp. 341–360.
25. Kuznetsov, S.V. and Trofimov, V.A., Original Stress State of Coal Seams, J. Min. Sci., 2003, vol. 39, no. 2, pp. 107–111
26. Zakharov, V.N., Malinnikova, O.N., Trofimov, V.A., and Filippov, Yu.A., Effect of Gas Content and Actual Stresses on Coalbed Permeability, J. Min. Sci., 2016, vol. 52, no. 2, pp. 218–225.
EVALUATION OF THE EFFECT OF COAL SEAM DIP ON STRESS DISTRIBUTION AND DISPLACEMENT AROUND THE MECHANIZED LONGWALL PANEL
M. Damghani, R. Rahmannejad, and M. Najafi
Shahid Bahonar University of Kerman, Iran
e-mail: mohammaddamghany@gmail.com
e-mail: sreza99@uk.ac.ir
Yazd University, Safayieh, Yazd, Iran
e-mail: mehdinajafi@yazd.ac.ir
The main purpose of this research is to evaluate the effect of coal seam dip on the front abutment and side abutment stresses distribution around the longwall panels by FLAC3D software. For this purpose numerical modeling of five longwall panels in coal seam with dip angle of 0, 12, 22, 32 and 42 degree have been done. The results of numerical modeling have been shown that in all models, peak value of front abutment stress was found to act at a distance about 1–3 m in front of the panel face and the difference between this stresses in front of the working face is about 9.7 MPa. In this distance, the peak vertical stress is in the order of approximately 4–5 times the in-situ stress and then gradually decreases toward the initial ?eld stress. Moreover numerical modeling results have been shown that increasing coal seam dip has no significant effect on the peak value of side abutment stress at the edge of pillar, but the side abutment stress concentration is nearer to the edge of pillar. At coal seam dip of zero and 12 degrees, maximum vertical stress occurs at a distance of 5.4 m from the pillar edge, whereas at the coal seam dip of 42 degrees, this stress occurs within 3 m of the pillar edge. However, increasing the dip of coal seam caused to increase entry roof displacement. The results are in good agreement with ?eld observation.
Numerical modeling, longwall mining, stress distribution, FLAC3D software
DOI: 10.1134/S1062739119056100
REFERENCES
1. Deepak, D., Longwall Face Support Design, a Micro-Computer Model, J. Min., Metals & Fuels, 1986.
2. Peng, S.S., Longwall Mining, Richmond: West Virginia University, Morgantown, WV, 2006.
3. Peng, S., Coal Mine Ground Control, A Wiley-Interscience Publ., 2nd Ed., 1986.
4. Luo, J.L., Gate Road Design in Overlying Multi-Seam Mines, MSc Thesis in Department of Min. and Minerals Eng., Virginia Polytechnic Institute and State University Blacksburg, Virginia, USA, 1997.
5. Thin, I. G. T., Pine, R.J., and Trueman, R., Numerical Modeling as an Aid to the Determination of the Stress Distribution in the Goaf due to Longwall Coal Mining, Int. J. Rock Mech. and Min. Sci. and Geomech. Abstracts, 1993, vol. 30, no. 7, pp. 1403–1409.
6. Yavuz, H., An Estimation Method for Cover Pressure Re-Establishment Distance and Pressure Distribution in the Goaf Longwall Coal Mines, J. Rock Mech. and Min. Sci., 2004, vol. 41, no. 2, pp. 193–205.
7. Yasitli, N.E. and Unver, B., 3D Numerical Modeling of Stresses around a Longwall Panel with Top Coal Caving, J. South African Inst. Min. Metallþ, 2005, vol. 105, no. 5, pp. 287–300.
8. Islam, M.R., Hayashi, D., and Kamruzzaman, A. B. M., Finite Element Modeling of Stress Distributions and Problems for Multi-Slice Longwall Mining in Bangladesh, with Special Reference to the Barapukuria Coal Mine, Int. J. Coal Geol., 2009, vol. 78, no. 2, pp. 91–109.
9. Najafi, M., Optimum Design of Longwall Chain Pillar in Tabas Coal Mine, MSc Thesis, Shahrood University of Technology, 2009.
10. Vakili, A., Albrecht, J., and Gibson, W., Mine-Scale Numerical Modeling of Longwall Operations, Proc. of Underground Coal Operation Conf., University of Wollongong, 2010.
11. Shabanimashcool, M. and Li, C.C., Numerical Modeling of Longwall Mining and Stability Analysis of the Gates in a Coal Mine, Int. J. Rock Mech. and Min. Sci., 2012, vol. 51, pp. 24–34.
12. Majdi, A., Hassani, F.P., and Nasiri, M.Y., Prediction of the Height of Destressed Zone above the Mined Panel Roof in Longwall Coal Mining, Int. J. Coal Geol., 2012, vol. 98, pp. 62–72.
13. Jiang, Y., Wang, H., Xue, S., Zhao, Y., Zhu, J., and Pang, X., Assessment and Mitigation of Coal Bump Risk during Extraction of an Island Longwall Panel, Int. J. Coal Geol., 2012, vol. 95, pp. 20–33.
14. Shabanimashcool, M. and Li, C.C., A Numerical Study of Stress Changes in Barrier Pillars and a Border Area in a Longwall Coal Mine, Int. J. Coal Geol., 2013, vol. 106, pp. 39–47.
15. Rezaei, M., Hossaini, M.F., and Majdi, A., Determination of Longwall Mining-Induced Stress Using the Strain Energy Method, Rock Mech. and Rock Eng., 2015, vol. 48, no. 6, pp. 2421–2433.
16. Najafi, M., Shishebori, A., and Gholamnejad, J., Numerical Estimation of Suitable Distance between Two Adjacent Panels’ Working Faces in Shortwall Mining, Int. J. Geomech., 2016, 10.1061/(ASCE)GM.1943–5622.0000784 , 04016090.
17. Meng, Z., Shi, X., and Li, G., Deformation, Failure and Permeability of Coal-Bearing Strata during Longwall Mining, Eng. Geol., 2016, vol. 208, pp. 69–80.
18. Anon, Tabas Coal Mine Project Basic Design Report—Mining, 2005, vol. 1, p. 5.
19. Badr, S.A., Numerical Analysis of Coal Yield Pillars at Deep Longwall Mines, Ph.D. Thesis, Department of Min. Eng. Colorado School of Mine, 2004.
20. Saeedi, G., Shahriar, K., Rezai, B., and Karpuz, C., Numerical Modeling of Out-of-Seam Dilution in Longwall Retreat Mining, Int. J. Rock Mech. and Min. Sci., 2010, vol. 47, p. 533–543.
21. Salamon, M. D. G., Mechanism of Caving in Longwall Coal Mining, Paper in Rock Mechanics Contributions and Challenges: Proc. of the 31st U. S. Symp., Hustrulid, W.A. and Johnson, G.A. (Eds.), A. A. Balkema, 1990.
PROBABILISTIC-BASED STOPE DESIGN METHODOLOGY FOR COMPLEX ORE BODY WITH ROCK MASS PROPERTY VARIABILITY
M. A. Idris and E. Nordlund
Luleå University of Technology, Luleå, SE-971 87 Sweden
e-mail: idris.musa@ltu.se
This paper presents a probabilistic approach for optimizing stope design methodology while taking into consideration the variability in the rock mass properties. For this study, a complex orebody in a Canadian mine was used. Because of the variability in the rock mass properties of the orebody, it was not possible to determine precisely, the values of geotechnical design input parameters and hence the need to utilize a probabilistic approach. Point Estimate Method (PEM), a probabilistic tool, was incorporated into numerical analysis using FLAC3D to study the deformation magnitudes of various stope geometries to determine the optimal stope geometry with a minimum ground control problem. Results obtained for the distribution of the wall deformations and the floor heaves for each option of the stope geometry were compared to select the best geometry to achieve the optimum stability condition. The methodology presented in this study can be helpful in the process of underground mine planning and optimization in complex orebody.
Complex orebody, probabilistic approach, rock mass variability, stope geometry, point estimate method
DOI: 10.1134/S1062739119056112
REFERENCES
1. Cai, M., Rock Mass Characterization and Rock Property Variability Considerations for Tunnel and Cavern Design, Rock Mech. and Rock Eng., 2011, vol. 44, no. 4, pp. 379–399.
2. Idris, M.A., Saiang, D., and Nordlund, E., Numerical Analyses of the Effects of Rock Mass Property Cariability on Open Stope Stability, Proc. of the 45th US Rock Mechanics/GeomechanicsSymp., San Francisco, Ca. 2011.
3. Idris, M.A., Saiang, D., and Nordlund, E., Probabilistic Analysis of Open Stope Stability Using Numerical Modelling, Int. J. Min. and Mineral Eng., 2011, vol. 3, no. 4, pp. 194–219.
4. Valley, B., Kaiser, P.K., and Duff, D., Consideration of Uncertainty in Modellng the Behavior of Underground Excavations, Proc. of the 5th Int. Seminar on Deep and High Stress Min., Santiago, Chile, 2010.
5. Idris, M.A., Nordlund, E., and Saiang, D., Comparison of Different Probabilistic Methods for Analyzing Stability of Underground Rock Excavations, The Electronic J. of Geotech. Eng., 2016, vol. 21, no. 21, pp. 6555–6585.
6. FLAC3D (Version 4.0) Computer software, Minneapolis, Minnesota: Itasca Consulting Group, Inc.
7. Marinos, P. and Hoek, E., A Geologically Friendly Tool for Rock Mass Strength Estimation, Proc. of the GeoEng 2000 Conf., Melbourne, Australia, 2000.
8. Hoek, E., Carranza-Torres, C.T., and Corkum, B., Hoek-Brown Failure Criterion-2002 Edition, Proc. of the 5th North American Rock Mechanics Symp., Toronto, ON, 2002.
9. @RISK, Risk Analysis Software Using Monte Carlo Simulation for Microsoft Excel and Microsoft Project. Available at: https://www.palisade.com/msoffice/risk.asp.
10. Rosenblueth, E., Two-Point Estimates in Probabilities, Appl. Math. Modelling, 1981, vol. 5, no. 5, pp. 329–335.
11. AbdellahMitri, H.S., Thibodeau, D., and Moreau-Verlaan, L., Geotechnical Risk Assessment of Mine Development Intersections with Respect to Mining Sequence, Geotech. and Geol. Eng., 2014, vol. 32, no. 3, pp. 657–671.
12. Hoek, E., Reliability of Hoek–Brown Estimates of Rock Mass Properties and Their Impact on Design, Int. J. Rock Mech. and Min. Sci., 1998, vol. 35, no. 1, pp. 63–68.
13. Langford, J.C. and Diederichs, M.S., Reliability Based Approach to Tunnel Lining Design Using a Modified Point Estimate Method, Int. J. Rock Mech. and Min. Sci., 2013, vol. 60, pp. 263–276.
14. Park, D., Kim, H.M., Ryu, D.W., Choi, B.H., and Han, K.C., Probability-Based Structural Design of Lined Rock Caverns to Resist High Internal Gas Pressure, Eng. Geol., 2013, vol. 153, pp. 144–151.
15. Park, D., Kim, H.M., Ryu, D.W., Song, W.K., and Sunwoo, C., Application of a Point Estimate Method to the Probabilistic Limit-State Design of Underground Structures, Int. J. Rock Mech. and Min. Sci., 2012, vol. 51, pp. 97–104.
16. Napa-Garcia, G.F., Beck, A.T., and Celestino, T.B., Reliability Analyses of Underground Openings with the Point Estimate Method, Tunneling and Underground Space Technology,2017, vol. 64, pp. 154–163.
17. Arjang, B., and Herget, G., In Situ Ground Stresses in the Canadian Hard Rock Mines: An Update, Int. J. Rock Mech. and Min. Sci., 1997, vol. 34, nos. 3–4, pp. 15.e1–15.e16.
18. Herget, G., Stress Assumptions for Underground Excavations in the Canadian Shield, Int. J. Rock Mech., Min. Sci. &Geomech. Abstract, 1987, vol. 24, pp. 95–97.
19. Diederichs, M.S.,Instability of Hard Rock Masses: The Role of Tensile Damage and Relaxation, Waterloo, ON, University of Waterloo, 1999.
20. Milne, D.M.,Underground Design and Deformation Based on Surface Geometry, British Columbia, University
of British Columbia, BC, 1997.
21. Sakurai, S., Strength Parameters of Rocks Determined from Back Analysis of Measured Displacements, Proc. of the First Asian Rock Mech. Symp., Seoul, South Korea, 1997.
22. Huebscher, R.G., Friction Equivalents for Round Square and Rectangular Ducts, ASHVE Transactions, 1948, vol. 54, pp. 101–118.
23. Ang, A.H-S. and Tang, W.H.,Probability Concepts in Engineering, John Wiley & Sons, Inc.,USA, 2007.
ROCK FAILURE
THE METHOD TO MODEL MICROSEISMIC EVENTS DURING HYDROFRACTURE PROPAGATION
N. G. Shvarev and N. S. Markov
Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, 195251 Russia
e-mail: Shvarev_ng@spbstu.ru
The physical-and-mathematical model is presented for generation of microseismic events during hydrofracture propagation. Defects (discontinuities) are described using the ESC-model. The formulas are given for the jumps of discontinuities, characteristics of seismic and aseismic events, as well as the seismic moment and seismic magnitude. The algorithm is developed to model microseismic events during hydrofracture propagation by the known geometry and physical properties of the medium as the input data. The calculations are performed for the pseudo-3D and planar models of hydrofracture propagation. It is shown that a majority of events take place at the front of the growing hydrofracture, which agrees with the observations.
Seismic, microseismic activity, microseismic events, hydraulic fracturing, ESC-model
DOI: 10.1134/S1062739119056124
REFERENCES
1. Osiptsov, À.À., Models of Multiphase Media Mechanics for Hydraulic Fracturing Technology, Doctor Phys.-Math. Sci. Thesis, Moscow, 2017.
2. Mishuris, G., Wrobel, M., and Linkov, A., On Modeling Hydraulic Fracture in Proper Variables: Stiffness, Accuracy, Sensitivity, Int. J. Eng. Sci., 2012, vol. 61, pp. 10–23.
3. Linkov, A.M., Key-Note Lecture: Numerical Modeling of Seismicity: Theory and Applications, Rockbursts and Seismicity in Mines, Proc. of the 8th Int. Symp. RaSiM, Geophysical Survey of RAS, Mining Institute of Ural Branch of RAS, Obninsk-Perm, 2013.
4. Aki, K., and Richards, P.G., Quantitative Seismology, University Sci. Books, Sausalito, CA, 2002.
5. Gibowicz, S.J. and Kijko, A., An Introduction to Mining Seismology, Acad. Press, San Diego, 2013.
6. Mendecki, A.J., Seismic Monitoring in Mines, Chapman and Hall, London, 1997.
7. Rice, J.R., The Mechanics of Earthquake Rupture, Physics of the Earth’s Interior, North-Holland, Amsterdam, 1980.
8. Rasskazov, I.Yu., Tsirel’, S.V., Rozanov, À.Î., Tereshkin, À.À., and Glazyr, À.V., Application of Acoustic Measurement Data to Characterize Initiation and Development of Disintegration Focus in a Rock Mass, J. Min. Sci., 2017, vol. 53, no. 2, pp. 224–231.
9. Dobroskok, À.À. and Linkov, À.Ì., Modeling of Fluid Flow, Sterss State and Seismicity Induced in Rock by an Instant Pressure Drop in a Hydrofracture, J. Min. Sci., 2011, vol. 47, no. 1, pp. 10–19.
10. Yaskevich, S.V., Grechka, V.Yu., and Duchkov, À.À., Processing Microseismic Monitoring Data Considering Seismic Anisotropy of Rocks, J. Min. Sci., 2015, vol. 51, no. 3, pp. 477–486.
11. Guglielmi, A.V., Interpretation of the Omori Law, Izvestiya, Physics of the Solid Earth, 2016, vol. 52, no. 5, pp. 785–786.
12. Linkov, A.M., Key-Note Address: New Geomechanical Approaches to Develop Quantitative Seismicity, Proc. of the 4th Int. Symp. on Rockbursts and Seismicity in Mines, Balkema, Rotterdam, 1997.
13. Linkov, A.M., Numerical Modeling of Seismic and Aseismic Events in Three-Dimensional Problems of Rock Mechanics, J. Min. Sci., 2006, vol. 42, no. 1, pp. 1–14.
14. Linkov, A.M., Kompleksnyi metod granichnykh integralnykh uravneniy teorii uprugosti (Complex Method of Boundary Integral Equations of Elasticity Theory), Saint Petersburg: Nauka, 1999.
15. Linkov, A.M., Zubkov, V.V., and Kheib, M.A., A Method of Solving Three-Dimensional Problems of Seam Workings and Geological Faults, J. Min. Sci., 1997, vol. 33, no. 4, pp. 295–315.
16. Linkov, A.M., Dynamic Phenomena in Mines and the Problem of Stability, Int. Soc. Rock Mechanics, Lisboa, Cedex, Portugal, 1994.
17. Linkov, A.M., Integration of Numerical Modeling and Seismic Monitoring: General Theory and First Steps, Proc. of the Int. Conf. on New Developments in Rock Mechanics, New York, 2002.
18. Grechka, V.Yu. and Heigl, W.M., Microseismic Monitoring, Soc. Exploration Geophysi., 2017.
19. Maxwell, S., Microseismic Imaging of Hydraulic Fracturing: Improved Engineering of Unconventional Shale Reservoirs, Soc. Exploration Geophys., 2014.
20. Salamon, M. D. G., Keynote Address: Some Applications of Geomechanical Modelling in Rockburst and Related Research, Proc. of the 3rd Int. Symp. on Rockbursts and Seismicity in Mines, Balkema, Rotterdam, 1993.
21. Markov, N.S. and Linkov, A.M., Correspondence Principle for Simulation Hydraulic Fractures by Using Pseudo 3D Model, Materials Physics and Mechanics, 2018, no. 40, pp. 181–186.
22. Starobinsky, Å.B. and Stepanov, À.D., Using an Explicit Time Integration Scheme for Modeling Hydraulic Fracturing with the Planar 3D Model, PROneft, 2019, no. 2, pp. 15–19.
23. Khasanov, Ì.Ì., Paderin, G.V., Shel’, Å.V., Yakovlev, À.À., and Pustovskikh, À.À., Approaches to Hydraulic Fracturing Modeling and Tendency, Neft. Khoz., 2017, no. 12, pp. 37–41.
COMPARATIVE ANALYSIS OF FAILURE CRITERIA IN BUILDING MATERIALS AND ROCKS
V. D. Kurguzov
Lavrentiev Institute of Hydrodynamics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090 Russia
e-mail: kurguzov@hydro.nsc.ru
The criteria of failure and limiting state, widely used in strength assessment of rocks and building materials, are considered. The two-dimensional computer model is presented for deformation of cement lining in a cemented cased hole in rock mass under the action of internal pressure from the casing and external pressure from rock mass. The model has a number of science-based and experimentally proved strength criteria for determination of failure behavior and potential damaged zones in cement lining. A series of stress–strain analyses of cement lining is performed with varied geometrical parameters and stresses. The criticality of local and nonlocal failure criteria is analyzed. By comparing equivalent stresses, six failure criteria are selected and recommended for estimation and prediction of load resistance of cement lining.
Strength, failure, hole, casing, cement lining, failure criteria
DOI: 10.1134/S1062739119056136
REFERENCES
1. Carter, B.J., Size and Stress Gradient Effects on Crack around Cavities, Rock Mech. Rock Eng., 1992, vol. 25, no. 3, pp. 167–186.
2. Suknev, S.V., Nonlocal and Gradient Criteria of Compressive Failure of Quasibrittle Materials, Fiz. Mezomekh., 2018, vol. 21, no. 4, pp. 22–32.
3. Revuzhenko, À.F., Rock Failure Criteria Based on New Stress Tensor Invariants, J. Min. Sci., 2014, vol. 50, no. 3, pp. 437–442.
4. Mikenina, Î.À. and Revuzhenko, À.F., Limit State and Failure Criteria for Media with Perfect Cohesion and Flowability, J. Min. Sci., 2014, vol. 50, no. 4, pp. 660–664.
5. Paul, B., Macroscopic Criteria for Plastic Flow and Brittle Fracture, Moscow: Mir, 1975.
6. Boresi, A.P., Schmidt, R.J., and Sidebottom, O.M., Advanced Mechanics of Materials, 5th ed., N. Y., Wiley, 1993.
7. Korobeinikov, S.N., Reverdatto, V.V., Polyansky, Î.P., and Sverdlova, V.G., About Effect of Choice of Rheological Law on the Results of Computer Simulation of Plate Subduction, Sib. Zhurn. Vychisl. Mat., 2011, vol. 14, no. 1, pp. 71–90.
8. Vrech, S.M. and Etse, G., Geometrical Localization Analysis of Gradient-Dependent Parabolic Drucker–Prager Elastoplasticity, Int. J. of Plasticity, 2006, vol. 22, no. 5, pp. 943–964.
9. Willam, K.J. and Warnke, E.P., Constitutive Models for the Triaxial Behavior of Concrete, Proc. of Seminar on Concrete Structures Subjected to Triaxial Stresses, Bergamo, Italy, 1974.
10. Novozhilov, V.V., About the Necessary and Sufficient Criterion for Brittle Strength, Prikl. Mat. Mekh., 1969, vol. 33, no. 2, pp. 212–222.
11. Lajtai, E.Z., Effect of Tensile Stress Gradient on Brittle Crack Initiation, Int. J. Rock Mech. Min. Sci., 1972, vol. 9, no. 5, pp. 569–578.
12. Legan, Ì.À., On the Interrelation between Gradient Criteria of Local Strength in Stress Concentration Zone and Linear Failure Mechanics, PMTF, 1993, vol. 34, no. 4, pp. 146–154.
13. Legan, Ì.À., Determination of Failure Load, Place and Direction of Fracture Using the Gradient Approach, Prikl Meh. Tekh. Fiz., 1994, vol. 35, no. 4, pp. 117–124.
14. Suknev, S.V. and Novopashin, Ì.D., Determination of Local Mechanical Properties of Materials, DAN, 2000, vol. 373, no. 1, pp. 48–50.
15. Suknev, S.V. and Novopashin, Ì.D., Criterion of Normal Tension Crack Formation in Rocks under Compression, J. Min. Sci., 2003, vol. 39, no. 2, pp. 132–138.
16. Novopashin, Ì.D. and Suknev, S.V., Gradient Criteria of the Limiting State, Vestn. SamGU. Estestvennonauch. Ser., 2007, no. 4(54), pp. 316–335.
17. Nesetova, V. and Lajtai, E.Z., Crack from Compressive Stress Concentrations around Elastic Flaws, Int. J. Rock Mech. Min. Sci. & Geomech. Abstr, 1973, vol. 10, pp. 265–284.
18. Carter, B.J., Lajtai, E.Z., and Petukhov, A., Primary and Remote Crack around Underground Cavities, Int. J. Numer. Anal. Meth. Geomech., 1991, vol. 15, no. 1, pp. 21–40.
19. Carter, B.J., Lajtai, E.Z., and Yuan, Y., Tensile Crack from Circular Cavities Loaded in Compression, Int. J. Fract., 1992, vol. 57, no. 3, pp. 221–236.
20. Yuan, Y.G., Lajtai, E.Z., and Ayari, M.L., Crack Nucleation from a Compression-Parallel, Finite-Width Elliptical Flaw, Int. J. Rock Mech. Min. Sci. & Geomech. Abstr., 1993, vol. 30, no. 7, pp. 873–876.
21. Efimov, V.P., Gradient Approach to Determination of Tensile Strength of Rocks, J. Min. Sci., 2002, vol. 38, no. 5, pp. 455–459.
22. Efimov, V.P., Rock Testing in Inhomogeneous Fields of Tensile Stresses, Prikl Meh. Tekh. Fiz., 2013, vol. 54, no. 5, pp. 199–209.
23. Efimov, V.P., Tensile Strength of Rocks by Test Data on Disc-Shaped Specimens with a Hole Drilled through the Disc Center, J. Min. Sci., 2016, vol. 52, no. 5, pp. 878–884.
24. MARC Users Guide. Vol. A, Santa Ana (CA): MSC.Software Corporation, 2018.
25. Erdogan, F. and Sih, G.C., On the Crack Extensions in Plates under Plane Loading and Transverse Shear, J. of Basic Engineering, 1963, vol. 85, pp. 519–527.
STUDY ON OVERLYING STRATA MOTION RULE OF SHORTWALL MINING FACE OF SHALLOW SEAM WITH SIMULATION EXPERIMENT
Lujun Ding and Yuhong Liu
College of Water Resource and Hydropower, Sichuan University, Chengdu, 610065 China
SiChuan College of Architectural Technology, De Yang, 618000 China
e-mail: mddh966@126.com
Taking Shendong mining area as a research object, the roof strata moving law in the shallow buried deep thin bedrock was studied with 3D simulation experiment. The results showed that the surface displacement and roof pressure decrease little, and the roof does not appear the phenomenon of full thickness cutting. As the advancing distance of the working face increases, the displacement of the surface and roof increases. The old roof breaking is not easy to form a hinge structure, the roof when the pressure of mine pressure appearance is very intense.
Shallow seam, 3D similar physical simulation, overburden strata movement, surface displacement
DOI: 10.1134/S1062739119056148
REFERENCES
1. Huang, Q.X., The Characteristics of the Shallow Buried Coal Seam and the Definition of the Shallow Buried Coal Seam, J. Rock Mech. and Eng., 2002, vol. 21, no. 8, pp. 1174–1177.
2. Guang, X. and Ma, Y.D., Shallow Work Face Mine Pressure Simulation on the Law, J. Chinese Mining, 2004, vol. 13, no. 6, pp. 69–71.
3. Feng, G.R., Wang, X.X., and Kang, L.X., A Probe into Mining Technique in the Condition of Floor Failure for Coal Seam Above Longwall Goafs, J. Coal Sci. and Eng., 2008, vol. 14, no. 1, pp. 19–23.
4. Fan, G.W., Zhang, D.S., and Ma, L.Q., Overburden Movement and Fracture Distribution Induced by Longwall Mining of the Shallow Coal Seam in the Shendong Coal Field, J. China University of Min. and Technol., 2011, vol. 2, pp. 196–201.
5. Xuan, Y.Q., Research on Movement and Evolution Law of Breaking of Overlying Strata in Shallow Coal Seam with a Thin Bedrock, J. Rock and Soil Mech., 2008, vol. 2, pp. 512–516.
6. Gao, Y.R., Liu, C.W., Kang, Y.M., and Huang, C.L., Shallow Buried Thin Bedrock Coal Seam Rapid Advancing Working Face Mine Pressure Appearance Law Research, J. Metal Mine, 2015, vol. 6, pp. 29–33.
7. Soni, A.K. and Singh, A. K. K.K., Shallow Cover over Coal Mining: a Case Study of Subsidence at Kamptee Colliery, India, Bulletin of Engineering Geology and the Environment, 2007, vol. 66, no. 3, pp. 311–318.
8. Liu, H., He, C.G., and Deng, K.Z., Analysis of Forming Mechanism of Collapsing Ground Fissure Caused by Mining, J. Min. and Safety Eng., 2013, vol. 3, pp. 380–384.
9. Shi, X.C., Meng, Z.P., and Yang, S., Simulation of Overburden Deformation-Failure During Multi-Coal Mining in Daliuta Coal Mine, J. Metal Mine, 2015, vol. 3, pp. 53–57.
10. Liu, C.G., Similar Simulation Study on the Movement Behavior of Overlying Strata in Shallow Seam Mining in Majiliang Coal Mine, J. China Coal Society, 2011, vol. 36, no. 1, pp. 7–11.
11. Liu, H., He, C.G., and Deng, K.Z., Analysis of Forming Mechanism of Collapsing Ground Fissure Caused by Mining, J. Min. and Safety Eng., 2013, vol. 30, no. 3, pp. 380–384.
12. Ren, Y.F. and Qi, Q.X., Study on Characteristic of Stress Field in Surrounding Rocks of Shallow Coalface under Long Wall Mining, J. China Coal Society, 2011, vol. 36, no. 10, pp. 1612–1618.
13. Xu, J.L. and Qian, M.G., A Method to Determine the Location of the Key Strata in the Overlying Strata, J. China University of Min. and Tech., 2016, vol. 29, no. 5, pp. 463–467.
14. Wu, Q., Wang, L., and Wei, X.Y., Yushenfu Mining Area in Daliuta Coal Mining Ground Subsidence Numerical Simulation Visualization Group, J. Hydro Geological Eng. Geology, 2016, vol. 30, no. 6, pp. 37–39.
15. Adhikary, D.P. and Guo, H., Modelling of Longwall Mining-Induced Strata Permeability Change, J. Rock Mech. and Rock Eng., 2015, vol. 48, no. 1, pp. 345–359.
16. Zhang, G.B., Zhang, W.Q., Wang, C.H., Zhu, G.L., and Li, B., Mining Thick Coal Seams under Thin Bedrock-Deformation and Failure of Overlying Strata and Alluvium, J. Geotech. and Geol. Eng., 2016, vol. 34, no. 5, pp. 1553–1563.
17. Aleksandrova, N.I., Pendulum Waves on the Surface of Block Rock Mass under Dynamic Impact, J. Min. Sci., 2017, vol. 53, no. 1, pp. 59–64.
18. Ren, Y.F., Ning, Y., and Qi, Q.X., Physical Analogous Simulation on the Characteristcs of Overburden Breakage at Shallow Longwall Coalface, J. China Coal Society, 2013, vol. 38, no. 1, pp. 61–66.
19. Xu, J.L., Chen, J.X., and Jiang, K., Effect of Load Transfer of Unconsolidated Confined Aquifer onCompound Breakage of Key Strata, Chinese J. Rock Mech. and Eng., 2017, vol. 26, no. 4, pp. 699–704.
20. Huang, P.L. and Chen, C.X., Analysis of Surface Subsidence Mechanism in Underground Mining of Thick Overburden, J. Rock and Soil Mech., 2010, vol. 31, pp. 357–362.
21. Wang, J.B., Liu, X.R., and Liu, X.J., Dynamic Prediction Model for Mining Subsidence, J. China Coal Society, 2015, vol. 40, no. 3, pp. 516–521.
22. Teng, Y.H. and Wang, J.Z., The Law and Mechanism of Ground Subsidence Induced by Coal Mining Using Fully-Mechanized Caving Method, J. China Coal Society, 2018, vol. 33, no. 3, pp. 264–267.
MINERAL MINING TECHNOLOGY
SELECTING CYCLICAL-AND-CONTINUOUS PROCESS FLOW DIAGRAMS FOR DEEP OPEN PIT MINES
V. L. Yakovlev, V. A. Bersenev, A. V. Glebov, S. S. Kulniyaz, and M. A. Marinin
Institute of Mining, Ural Branch, Russian Academy of Sciences, Yekaterinburg, 620219 Russia
e-mail: glebov@igduran.ru
Zhubanov Aktobe Regional State University, Aktobe, 030000 Republic of Kazakhstan
e-mail: kulnyaz@mail.ru
Saint-Petersburg Mining University, Saint-Petersburg, 199106 Russia
e-mail: mihmarinin@ya.ru
The application data on different process flow diagrams of the cyclical-and-continuous method using high-angle conveyors are presented. The influence of the conveyor angle and elevation height on performance of crushing-and-conveying systems is determined. The feasibility study of the cyclical-and-continuous method with mobile crushing-and-rehandling units and high-angle conveyors in the Kostomuksha open pit mine is carried out. The relative capital and operating costs are evaluated for different conveying angles in an open pit mine 100 and 600 m deep. Different schemes of cutting accumulation levels to replace the mobile crushing-and-rehandling units in open pit mines are compared, and the performance of the cyclical-and-continuous technology with high-angle conveying system in the Muruntau open pit mine, Navoi Mining and Metallurgical Plant, Uzbekistan is described.
Cyclical-and-continuous method, deep open pit mines, mobile crushing-and-rehandling unit, high-angle conveyor, accumulation level, primary mining operations
DOI: 10.1134/S106273911905615X
REFERENCES
1. Sanakulov, Ê.S., Umarov, F.Ya., and Shemetov, P.À., Cost Reduction in Deep Open-Pit Mines through the Use of a High-Angle Conveyor as Part of In-Pit Conveyor System, Gorn. Vestn. Uzbek., 2013, no. 1, pp. 8–12.
2. Rakishev, B.R., Cyclical-and-Continuous Technologies in Open-Pit Mines, Vestn. KazNTU, 2012, no. 1, pp. 14–20.
3. Reshetnyak, S.P., Present-Day Tendencies in Designing Cyclical-and-Continuous Technology in Open-Pit Mines, GIAB, 2015, no. S56, pp. 126–133.
4. Ioffe, À.Ì. and Seleznev, À.V., Substantiation of the Rational Scope of Applying In-Pit Conveyor System in Open-Pit Mines, GIAB, 2009, no. 3, pp. 342–353.
5. Karmaev, G.D. and Glebov, À.V., Vybor gornotransportnogo oborudovaniya tsiklichno-potochnoi tekhnologii karyerov (The Choice of Mining Equipment for Cyclical-and-Continuous Technology in Open-Pit Mines), Yekaterinburg: IGD UrO RAN, 2012.
6. Marinin, M.A. and Dolzhikov, V.V., Blasting Preparation for Selective Mining of Complex Structured Ore Deposition, IOP Conference Series: Earth and Environmental Sci., 2017, vol. 87, no. 5.
7. Trubetskoy, Ê.N., Zharikov, I.F., and Shenderov, À.I., Improvement of Design of In-Pit Conveyor Systems, Gornyi Zhurnal, 2015, no. 1, pp. 21–24.
8. Mel’nikov, N.N., Usynin, V.I., and Reshetnyak, S.P., Tsiklichno-potochnaya tekhnologiya s peredvizhnymi drobil’no-peregruzochnymi kompleksami dlya glubokikh karyerov (Cyclical-and-Continuous Technology with Mobile Crushing-and-Rehandling Units for Deep Open-Pit Mines), Apatity, 1995.
9. Drebenshted, Ê., Ritter, R., Suprun, V.I., and Agafonov, Yu.G., World Experience in the Operation of Cyclical-and-Continuous Methods with In-Pit Crushing, Gornyi Zhurnal, 2015, no. 11, pp. 81–87.
10. Prigunov, À.S., Bro, S.Ì., and Shipunov, S.À., The State and Prospects for Applying Cyclical-and-Continuous and Continuous Technologies, Marksheid. Vestn., 2014, no. 2, pp. 19–21.
11. Yakovlev, V.L., Karmaev, G.D., Bersenev, V.À., Glebov, À.V., Semenkin, À.V., and Sumina, I.G., Efficiency of Cyclical-and-Continuous Method in Open Pit Mining, J. Min. Sci., 2016, vol. 52, no. 1, pp. 102–109.
12. Galkin, V.I. and Sheshko, Å.Å., Substantiation of Areas for the Effective Use of Special Types of Conveyors in Open-Pit Mines, GIAB, 2014, Special issue 1: Proc. of Int. Sci. Symp. Miner’s Week–2014, pp. 400–410.
13. Chetverik, Ì.S., Babiy, Å.V., Ikol, À.À., and Tereshchenko, V.V., Prospects for the Use of High-Angle Conveyors in Cyclical-and-Continuous Mining Technology in Open-Pit Mines of Krivoy Rog Basin, Metallurg. Gornorud. Promyshl., 2010, no. 5 (263), pp. 94–98.
PRODUCTION SCHEDULING WITH HORIZONTAL MIXING SIMULATION IN BLOCK CAVE MINING
F. Khodayari, Y. Pourrahimian, and W. V. Liu
School of Mining and Petroleum Engineering, University of Alberta, T6G1H9, Edmonton, Canada
e-mail: yashar.pourrahimian@ualberta.ca
High production rates and low operating costs highlight block caving as one of the favorable underground mining methods. However, the uncertainties involved in the material flow make it complicated to optimize the production schedule for such operations. In this paper, a stochastic mixed-integer linear optimization model is proposed in order to capture horizontal mixing that occurs among the draw columns within the production scheduling optimization. The goal is to not only consider the material above each drawpoint for extraction from the same drawpoint, as traditional production scheduling does, but also to capture the horizontal movements among the adjacent draw columns. In this approach, different scenarios are generated to simulate the horizontal mixing among adjacent slices within a neighborhood radius. The best height of draw for draw columns is also calculated as part of the optimization. The model is tested for a block-cave mine with 640 drawpoints to feed a processing plant for 15 years. The resulting NPV is 473M$ while the deviations from the targets in all scenarios during the life of the mine are minimized. Using the proposed model will result in more reliable mine plans as it takes the horizontal mixing into account in addition to achieving the production goals. Using different penalties for grade deviations shows that the model is a flexible tool in which the mine planners can achieve their goals based on their priorities.
Block caving, production scheduling, optimization, horizontal mixing, mathematical modeling
DOI: 10.1134/S1062739119056161
REFERENCES
1. Khodayari, F. and Pourrahimian, Y., Mathematical Programming Applications in Block-Caving Scheduling: A Review of Models and Algorithms, Int. J. Min. and Min. Eng., 2015, vol. 6, pp. 234–257.
2. Song, X., Caving Process Simulation and Optimal Mining Sequence at Tong Kuang Yu mine, China, Proc. of the 21st Int. Symposium on Application of Computers and Operations Research in the Mineral Industry, Las Vegas, USA, 1989.
3. Guest, A.R., Van Hout, G.J., and Von Johannides, A., An Application of Linear Programming for Block Cave Draw Control, Mass Min., 2000, Brisbane, Australia, 2000.
4. Rubio, E., Long Term Planning of Block Caving Operations using Mathematical Programming Tools, Master of Applied Science, The University of British Columbia, 2002.
5. Rahal, D., Smith, M., Van Hout, G., and Von Johannides, A., The Use of Mixed Integer Linear Programming for Long-Term Scheduling in Block Caving Mines, Proc. of the 31st Int. Symposium on Application of Computers and Operations Research in the Minerals Industries, Cape Town, South Africa, 2003.
6. Rahal, D., Draw Control in Block Caving Using Mixed Integer Linear Programming, PhD, The University of Queensland, 2008.
7. Rahal, D., Dudley, J., and Hout, G.V., Developing an Optimised Production Forecast at Northparkes E48 Mine Using MILP, Proc. of the 5th Int. Conf. and Exhibition on Mass Min., Lulea, Sweden, 2008.
8. Weintraub, A., Pereira, M., and Schultz, X., A Priori and a Posteriori Aggregation Procedures to Reduce Model Size in Mip Mine Planning Models, Electronic Notes in Discrete Mathematics, 2008, vol. 30, pp. 297–302.
9. Smoljanovic, M., Rubio, E., and Morales, N., Panel Caving Scheduling under Precedence Constraints Considering Mining System, Proc. of the 35th APCOM Symposium, Wollongong, NSW, Australia, 2011.
10. Parkinson, A., Essays on Sequence Optimization in Block Cave Mining and Inventory Policies with Two Delivery Sizes, PhD, The University of British Columbia, 2012.
11. Pourrahimian Y., Askari-Nasab H., and Tannant D. Mixed-Integer linear programming formulation for block-cave sequence optimisation, Int. J. Min. and Min. Eng., 2012, Vol. 4, No. 1. — P. 26 – 49.
12. Pourrahimian, Y., Askari-Nasab, H., and Tannant, D., A Multi-Step Approach for Block-Cave Production Scheduling Optimization, Int. J. Min. Sci. and Tech., 2013, vol. ??23, pp. 739–750.
13. Alonso-Ayuso, A., Carvallo, F., Escudero, L.F., Guignard, M., Pi, J., Puranmalka, R., and Weintraub, A., Medium Range Optimization of Copper Extraction Planning under Uncertainty in Future Copper Prices, European J. Operational Research, 2014, vol. 233, pp. 711–726.
14. Khodayari, F. and Pourrahimian, Y., Determination of the Best Height of Draw in Block Cave Sequence Optimization, Proc. of the 3rd Int. Symposium on Block and Sublevel caving (CAVING 2014), Santiago, Chile, 2014.
15. Nezhadshahmohammad, F., Khodayari, F., and Pourrahimian, Y., Draw Rate Optimization in Block Cave Production Scheduling Using Mathematical Programming, Proc. of the 1st Int. Conf. on Underground Min. Tech. (UMT 2017), Sudbury, Ontario, Canada, 2017.
16. Nezhadshahmohammad, F., Pourrahimian, Y., and Aghababaei, H., Presentation and Application of a Multi-Index Clustering Technique for the Mathematical Programming of Block-Cave Production Scheduling, J. Min. Sci. and Tech., 2017.
17. Nezhadshahmohammad, F., Aghababaei, H., and Pourrahimian, Y., Conditional Draw Control System in Block-Cave Production Scheduling Using Mathematical Programming, J. Min., Reclamation and Environment, 2017, pp. 1–24.
18. Malaki, S., Khodayari, F., Pourrahimian, Y., and Liu, W.V., An Application of Mathematical Programming and Sequencial Gaussian Simulation for Block-Cave Production Scheduling, Proc. of the 1st Int. Conf. on Underground Min. Tech. (UMT 2017), Sudbury, Ontario, Canada, 2017.
19. Diering, T., Computational Considerations for Production Scheduling of Block Cave Mines, Mass Min., 2004, Santiago, Chile, 2004.
20. Diering, T., Quadratic Programming Applications to Block Cave Scheduling and Cave Management, Massmin 2012, Sudbury, Ontario, Canada, 2012.
21. Khodayari, F. and Pourrahimian, Y., Quadratic Programming Application in Block-Cave Mining, Proc. of the 1st Int. Conf. of Underground Min. (U-Mining 2016), Santiago, Chile, 2016.
22. Castro, R., Gonzalez, F., and Arancibia, E., Development of a Gravity Flow Numerical Model for the Evaluation of Drawpoint Spacing for Block/Panel Caving, J. of the Southern African Institute of Min. and Metallurgy 109, 2009, pp. 393–400.
23. Pierce, M.E., A Model for Gravity Flow of Fragmented Rock in Block Caving Mines. PhD, The University of Queensland, 2010.
24. Gibson, W., Stochastic Models for Gravity Flow: Numerical Considerations, Conf. Caving 2014, Santiago, Chile, 2014.
25. Castro, R.L., Fuenzalida, M.A., and Lund, F., Experimental Study of Gravity Flow under Confined Conditions, Int. J. Rock Mech. and Min. Sci., 2014, vol. 67, pp. 164–169.
26. Jin, A., Sun, H., Wu, S., and Gao, Y., Confirmation of the Upside-Down Drop Shape Theory in Gravity Flow and Development of a New Empirical Equation to Calculate the Shape, Int. J. Rock Mech. and Min. Sci., 2017, vol. 92, pp. 91–98.
27. Brunton, I., Lett, J., Sharrock, G., Thornhill, T., and Mobilio, B., Full Scale Flow Marker Experiments at the Ridgeway Deeps and Cadia East Block Cave Operations, Massmin 2016, Sydney, Australia, 2016.
28. Garces, D., Viera, E, Castro, R., and Melendez, M., Gravity Flow Full Scale Tests at Esmeralda Mine’s Block 2, El Teniente, Massmin 2016, Sydney, Australia, 2016.
29. Laubscher, D.H., Cave Mining—The State of the Art, J. the Southern African Institute of Min. and Metallurgy, 1994, vol. 94, pp. 279–293.
30. Khodayari, F. and Pourrahimian, Y., Determination of Development Precedence for Drawpoints in Block-Cave Mining, Proc. of the 5th Int. Symp. Min. Resources and Mine Development (AIMS 2015), Aachen, Germany, 2015.
31. The Math Works Inc., MATLAB. Massachusetts, United States.
32. IBM, IBM ILOG CPLEX Optimization Studio V12.6.3 Documentation, IBM Corporation, N. Y., 2015.
MINERAL DRESSING
MECHANICAL ACTIVATION BY MILLING IN TIN-CONTAINING MINING WASTE TREATMENT
T. S. Yusupov, L. G. Shumskaya, S. A. Kondrat’ev, E. A. Kirillova, and F. Kh. Urakaev
Sobolev Institute of Geology and Mineralogy, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090 Russia
e-mail: urakaev@igm.nsc.ru
Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: kondr@misd.ru
The capacities of mechanical activation by planetary ball milling in terms of dissociation of mineral concretions and tin recovery from mining waste are demonstrated. The modes of the short-term activation treatment in the ball mill for higher quality production are determined. The variants of improvement in tin content of concentrates by including milling in hydrochemical concentration circuit are substantiated.
Mining waste, tin, concentrate, planetary ball mill, concentration
DOI: 10.1134/S1062739119056173
REFERENCES
1. Malyutin, Yu.S., Manmade Mineral Resources of Nonferrous Metallurgy in Russia and Prospects for Their Use, Marksheid. Nedropol’z., 2001, no. 1, pp. 21–25.
2. Ezhov, À.I., Assessment of Mining Waste in the Russian Federation (Solid Minerals), Gorn. Nauk. Tekh., 2016, no. 4, pp. 62–75.
3. Urakaev, F.Kh. and Yusupov, T.S., Numeric Evaluation of Kinematic and Dynamic Characteristics of Mineral Treatment in Disintegrator, J. Min. Sci., 2017, vol. 53, no. 1, pp. 133–140.
4. Yusupov, T.S., Kondrat’ev, S.À., Khalimova, S.R. and Novikova, S.À., Mineralogical and Technological Assessment of Tin–Sulfide Mining Waste Dressability J. Min. Sci., 2018, vol. 54, no. 4, pp. 656–662.
5. Avvakumov, Å.G. and Gusev, À.À., Mekhanicheskie metody aktivatsii v pererabotke prirodnogo i tekhnogennogo syrya (Mechanical Activation Methods in Processing Natural Mineral Raw Materials and Mining Waste), Novosibirsk, Geo, 2009.
6. Balaz, P., Achimovicova, M., Balaz, M., Billik P., Zara, C.Z., Criado, J.M., Delogu, F., Dutkova, E., Gaffet, E., Gotor, F.J., Kumar, R., Mitov, I., Rojac, T., Senna, M., Streletskii, A., and Krystyna, W.C., Hallmarks of Mechanochemistry: From Nanoparticles to Technology, Chem. Soc. Rev., 2013, vol. 42, no. 18, pp. 7571–7637.
7. Molchanov, V.I., Selezneva, Î.G., and Zhirnov, Å.N., Aktivatsiya mineralov pri izmelchenii (Mineral Activation in Milling), Moscow: Nedra, 1988.
8. Lebedev, I.S., Dyakov, V.Å., and Terebenin, À.N., Kompleksnaya metallurgiya olova (Integrated Tin Metallurgy), Novosibirsk: Novosibirskii pisatel, 2004.
9. Pol’kin, S.I. and Laptev, S.F., Obogashchenie olovyannykh rud i rossypei (Concentration of Tin Ores and Placers), Moscow: Nedra, 1974.
10. Chanturia, V.À. and Kozlov, À.P., The Development of Physicochemical Foundations and Innovative Technologies for Deep Processing of Mining Waste, Gornyi Zhurnal, 2014, no. 7, pp. 79–84.
MICROPHASE HETEROGENIZATION OF HIGH-IRON BAUXITE AS. A. RESULT OF THERMAL RADIATION
I. N. Razmyslov, O. B. Kotova, V. I. Silaev, V. I. Rostovtsev, D. V. Kiseleva, and S. A. Kondrat’ev
Yushkin Institute of Geology and Mineralogy, Komi Science Center, Ural Branch,
Russian Academy of Sciences, Syktyvkar, 167982 Russia
e-mail: razmyslov-i@mail.ru
Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: kondr@misd.ru
Zavaritsky Institute of Geology and Geochemistry, Ural Branch, Russian Academy of Sciences,
Yekaterinburg, 620016 Russia
e-mail: podarenka@mail.ru
The results of modification of the Middle Timan high-iron bauxite by thermal radiation, including the earlier unknown phenomenon of phase heterogenization—formation of intrinsic minerals by originally endocryptically disseminated noble, nonferrous, rare and rare-earth micro-elements—are presented. It is possible to utilize this phenomenon for the purpose of commercial application of low-grade bauxite, red mud and other difficult ore.
Middle Timan, high-iron bauxite, thermal radiation-induced modification, phase heterogenization, mineral processing improvement
DOI: 10.1134/S1062739119056185
REFERENCES
1. Likhachev, V.V., Rare Metals in Bauxite-Bearing Weathering Core of Middle Timan, Cand. Tech. Sci. Thesis, Syktyvkar: Komi NTs UrO RAN, 1993.
2. Sirotin, V.I. and Gutnikova, Ò.N., Mining of Bauxite Deposits in the Komi Republic is a Strategic Task for the Development of Ore Mining Industry in Russia, Gornyi Zhurnal, 2007, no. 3, pp. 71–74.
3. Klychkarev, D.S., Volkova, N.M., and Komyn, M.F., The Problems Associated with Using Nonconventional Rare-Earth Minerals, J. Geochem. Exploitation, 2013, vol. 133, pp. 133–138.
4. Borra, C.R., Mermans, J., Blanpain, B., Pountikes, Y.B., and Gerven, T., Selective Recovery of Rare Earths from Bauxite Residue by Combination of Sulfation, Roasting and Leaching, J. Min. Engin., 2016, vol. 92, pp. 151–159.
5. Borra, C.R., Pontikes, Y., Binnemans, K., and Gerven, T., Leaching of Rare Earths from Bauxite Residue (Red Mud), J. Min. Engin., 2015, vol. 76, pp. 20–27.
6. Klyuchkarev, D.S., Rare-Earth Component of Bauxites from the Komi Republic, Geology and Mineral Resources of European North East of Russia: Proc. of the 17th Geological Convention in the Komi Republic, Vol. III, Syktyvkar: Geoprint, 2019.
7. Davris, P., Balomenos, E., Panias, D., and Paspaliaris, I., Selective Leaching of Rare Earth Elements from Bauxite Residue (Red Mud), Hydrometallurgy, 2016, vol. 164, pp. 125–135.
8. Rostovtsev, V.I., Theoretical Foundations and Practice of Using Electrochemical and Radiation (Accelerated Electrons) Effects in Ore Preparation and Mineral Dressing, Vestn. ChitGU, 2010, no. 8, pp. 91–99.
9. Razmyslov, I.N., Energy-Driven Phase Changes of Bauxites, Vestn. IG Komi NTs UrO RAN, 2016, no. 6, pp. 33–34.
10. Kotova, Î.B., Razmyslov, I.N., Rostovtsev, V.I., and Silaev, V.I., Thermal Radiation-Induced Modification of High-Iron Bauxites during Their Processing, Obogashch. Rud, 2016, no. 4, pp. 16–22.
11. Vakhrushev, À.V., Kristallokhimiya mineralov boksitov Vezhayu-Vorykvinskogo mestorozhdeniya. Structura, veshchestvo, istoriya litosfery Timano-Severouralskogo segmenta (Crystal Chemistry of Bauxite Minerals from Vezhayu-Vorykvinsky Deposit. Structure, Substance, Lithospheric History of Timan-Middle Urals Segment), Syktyvkar: Geoprint, 2012.
12. Vakhrushev, À.V., Lyutoev, V.P., and Silaev, V.I., Crystal Chemical Features of High-Iron Minerals in Bauxites of Vezhayu-Vorykvinsky Deposit (Middle Timan), Vestn. IG Komi NTs UrO RAN, 2012, no. 10, pp. 14–18.
13. Mameli, P., Mongelli, G., Oggiano, G., and Dinelli, E., Geological, Geochemical and Mineralogical Features of Some Bauxite Deposits from Nurra (Western Sardinia, Italy): Insights on Conditions of Formation and Parental Affinity, J. Earth Sci. (Geol. Rundsch.), 2007, vol. 96, pp. 887–902.
14. Colagari, A.A., Kongarani, F., and Abedini, A., Geochemistry of Major, Trace, and Rare Earth Elements in Biglar Perm-Triassic Bauxite Deposit Northwest of Abgarm, Ghazvin Province, Iran, J. Sci. Islamic Republic of Iran, 2010, vol. 21, pp. 225–236.
15. Plaksin, I.N., Obogashchenie poleznykh iskopaemykh (Mineral Dressing), Moscow: Nauka, 1970.
16. Chanturia, V.À. and Vigdergauz, V.E., Scientific Basis and Prospects for Industrial Use of Accelerated Electron Energy in Dressing Processes, Gornyi Zhurnal, 1995, no. 7, pp. 53–57.
17. Kondrat’ev, S.F., 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. 802–809.
RADIOMETRIC SEPARATION IN GRINDING CIRCUIT OF COPPER–NICKEL ORE PROCESSING
E. A. Burdakova, V. I. Bragin, N. F. Usmanova, A. O. Vashlaev, L. S. Lesnikova, L. E. D’yachenko, and A. I. Fertikov
Siberian Federal University, Krasnoyarsk, 660041 Russia
e-mail: kate-groo@yandex.ru
Institute of Chemistry and Chemical Technology, Siberian Branch, Russian Academy of Science,
Krasnoyarsk, 660036 Russia
Polar Division, NorNickel, Norilsk, Russia
NorNickel R&D Center, Krasnoyarsk, 660041 Russia
Lumpy ore after semi-autogenous milling in copper–nickel ore processing at the Talnakh factory is studied. The lumpy ore is mainly presented by sizes –80+40 and –40+20 mm. The X-ray radiometric separation tests of the lumpy ore prove their efficiency in production of concentrate and tailings. The strength characteristics and the Bond work index of the concentrate are determined. The results of flotation of the X-ray radiometric concentrate are described.
Impregnated copper–nickel ore, autogenous milling, lumpy ore, X-ray radiometric sorting, contrast range, flotation
DOI: 10.1134/S1062739119056197
REFERENCES
1. Aldrich, C., Consumption of Steel Grinding Media in Mills—A Review, J. Miner. Eng., 2013, vol. 49, pp. 77–91.
2. Lessard, J., de Bakker, J., and McHugh, L., Development of Ore Sorting and Its Impact on Mineral Processing Economics, J. Miner. Eng., 2014, vol. 65, pp. 88–97.
3. Wikedzi, A., Arinanda, M.A., Leibner, T., Peuker, U.A., and Mutze, T., Breakage and Liberation Characteristics of Low Grade Sulphide Gold Ore Blends, J. Miner. Eng., 2018, vol. 115, pp. 33–40.
4. Diaza, E., Voisina, L., Krachta, W., and Montenegro, V., Using Advanced Mineral Characterization Techniques to Estimate Grinding Media Consumption at Laboratory Scale, J. Miner. Eng., 2018, vol. 121, pp. 180–188.
5. Lessard, J., Sweetser, W., Bartram, K., Figueroa, J., and McHugh, L., Bridging the Gap: Understanding the Economic Impact of Ore Sorting on a Mineral Processing Circuit, J. Min. Eng., 2015, vol. 91, pp. 92–99.
6. Veigelt, Yu.P. and Rostovtsev, V.I., Intensifying the Beneficiation of Norilsk Copper–Nickel Ores by Energy Effects, J. Min. Sci., 2000, vol. 36, no. 6, pp. 595–598.
7. Chanturia, V.A., Kozlov, À.P., Matveeva, Ò.N., and Lavrinenko, À.À., Innovative Technologies and Extraction of Commercial Component from Unconventional and Difficult-to-Process Minerals and Mining-and-Processing Waste, J. Min. Sci., 2012, vol. 48, no. 5, pp. 904–913.
8. Chanturia, V.A., Lavrinenko, À.À., Sarkisova, L.Ì., Ivanova, Ò.À., Glukhova, N.I., Shrader, E.À., and Kunilova, I.V., Sulfhydril–Phosphorus-Containing Collectors in Flotation of Copper–Nickel Platinum-Group Metals, J. Min. Sci., 2015, vol. 51, no. 5, pp. 1009–1015.
9. Chernousenko, Å.V., Neradovsky, Yu.N., Kameneva, Yu.S., Vishnyakova, I.N., and Mitrofanova, G.V., Increasing Efficiency of Pechenga Rebellious Copper–Nickel Sulphide Ore Flotation, J. Min. Sci., 2018, vol. 54, no. 6, pp. 1035–1040.
10. Lomonosov, G.G. and Turtygina, N.À., The Influence of Ore Material Composition on Processing Indicators, GIAB, 2010, no. 2, pp. 314–320.
11. Mokrousov, V.À. and Lileev, V.À., Radiometricheskoe obogashchenie neradioaktivnykh rud (Radiometric Concentration of Nonradioactive Ores), Moscow: Nedra, 1979.
REBELLIOUS TIN ORE PROCESSING WITH NEW AGENTS FOR NONFERROUS AND NOBLE METAL RECOVERY
T. N. Matveeva, V. V. Getman, M. V. Ryazantseva, A. Yu. Karkeshkina, and L. B. Lantsova
Academician Melnikov Institute of Comprehensive Exploitation of Mineral Resources,
Russian Academy of Sciences, Moscow, 111020 Russia
e-mail: tmatveyeva@mail.ru
The occurrence form of sodium dibutyl dithiocarbamate on chalcopyrite is defined by IR spectroscopy. A stable compound of lead dibutyl dithiocarbamate forms on galenite. Fat acids of tall oil are adsorbed at the surface of cassiterite as chemically adsorbed oleate and physically adsorbed calcium dioleate. Sodium oleate adsorption at quartz surface is unfound in the mineral spectra after contact with fat acids, which proves selectivity of this agent relative to cassiterite. Applicability of 1,3,5-triazine-2,4,6-triamine agent to flotation of silver-bearing minerals is studied. The output of ultrasonic treatment aimed to remove slime material which deteriorates gravity separation of tin tailings at Solnechny Mining and Processing Plant is described.
Tin ore, cassiterite, silver, flotation, collecting agents, flotation, gravity
DOI: 10.1134/S1062739119056209
REFERENCES
1. Matveeva, Ò.N., Chanturia, V.À., Gromova, N.Ê., and Lantsova, L.B., Effect of Chemical and Phase Compositions on Absorption and Flotation Properties of Tin-Sulphide Ore Tailings with Dibutyl Dithiocarbamate, J. Min. Sci., 2018, vol. 54, no. 6, pp. 1014–1023.
2. Bellamy, L., Infrakrasnye spektry slozhnykh molekul (The Infrared Spectra of Complex Molecules), Moscow: Izd. Inostr. Lit., 1963.
3. Nakanishi, K., Infrakrasnye spektry i stroenie organicheskikh soedineniy (Infrared Spectra and Structure of Organic Compounds), Moscow: Mir, 1965.
4. Ly, N., Nguyen, T., Zoh, K.D., and Joo, S.W., Interaction between Diethyldithiocarbamate and Cu(II) on Gold in Non-Cyanide Wastewater, Sensors, 2017, vol. 17, no. 11, pp. 1–12.
5. Matveeva, Ò.N., Chanturia, V.À., Gapchich, A.O., and Getman, V.V., Application of New Composition of Reagents in Flotation of Silver-Bearing Tin Ore, J. Min. Sci., 2018, vol. 54, no. 1, pp. 120–125.
6. Paul, I.E., Rajeshwari, A., Satija, J., Raichur, A.M., Chandrasekaran, N., and Mukherjee, A., Fluorescence Based Study for Melamine Detection using Gold Colloidal Solutions, J. Fluorescence, 2016, vol. 26, no. 6, pp. 2225–2235.
7. Matveeva, Ò.N., Chanturia, V.À., Gromova, N.Ê., Getman, V.V, and Karkeshkina, À.Yu., Experimental Substantiation of Cassiterite Surface Modification by Stable Metal-Absorbent Systems as a Result of Selective Interaction with IM-50 and ZHKTM Agents, J. Min. Sci., 2019, vol. 55, no. 2, pp. 297–303.
8. Plaksin, I.N. and Solnyshkin, V.I., Infrakrasnaya spektroskopiya poverkhnostnykh sloev reagentov na mineralakh (Infrared Spectra of Agent Surface Layers on Minerals), Moscow: Nauka, 1963.
9. Young, C.A. and Miller, J.D., Effect of Temperature on Oleate Adsorption at a Calcite Surface:
An FT-NIR/IRS Study and Review, J. Min. Proc., 2000, vol. 58, pp. 331–350.
10. Glembotsky, V.A., Sokolov, Ì.À., Yakubovich, I.À., Baishulakov, À.À., Kirillov, Î.D., and Kolchemanova, À.Å., Ultrazvuk v obogashchenii poleznykh iskopaemykh (Ultrasound in Mineral Dressing), Alma-Ata, Nauka, 1972.
11. Angadi, S.I., Sreenivas, H., Jeon, H., Baek, S., and Mishra, B. K. A Review of Cassiterite Beneficiation Fundamentals and Plant Practices, J. Miner. Eng., 2015, vol. 70, pp. 178–200.
12. 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.
13. Gazaleeva, G.I., Nazarenko, L.N. and Shigaeva, V.N., Development of a Concentration Circuit for Rough Concentrate Containing Fine Slimes of Sn and Cu Minerals, Obogashch. Rud., 2018, no. 6 (378), pp. 20–26.
14. Gazaleeva, G.I., Features of Deep Concentration of Mineral and Technogenic Raw Material Containing Fine Slime, in: Plaksin’s Lectures–2019. Problems and Prospects for Efficient Mineral Processing in the 21st Century, Irkutsk, 2019.
15. Bergbreiter, D.E., Using Soluble Polymers to Recover Catalysts and Ligands, Chem. Rev., 2002, vol. 102, no. 10, pp. 3345–3384.
16. Getman, V.V., Study of Interaction of Termomorphic Polymers Ions of Nonferrous and Noble Metals, Proc. of the 15th All-Russian Annual Conference of Young Scientists and Postgraduates with Participation of Foreign Scientists, Moscow: IMET RAN, 2018.
PROMISING DISSOCIATION TECHNOLOGIES FOR PREPARATION OF MINERALS TO FLOTATION
S. V. Mamonov, V. N. Zakirnichny, A. A. Metelev, T. P. Dresvyankina, S. V. Volkova, V. A. Kuznetsov, and S. V. Ziyatdinov
Uralmekhanobr, Yekaterinburg, 620063 Russia
e-mail: umbr@umbr.ru
UMMC Technical University, Verkhnyaya Pyshma, 624091 Russia
e-mail: zhrv@tu-ugmk.ru
Svyatogor, Krasnouralsk, 624330 Russia
e-mail: svyatogor@svg.ru
Milling of minerals and middlings is studied in ultra-fine bead mills, Vertimill fine milling machines and in hydropercussion-and-cavitation machines (rotary–pulsating type). Fine and ultra-fine milling provides the wanted rate of dissociation of sulphide minerals and host rocks as compared with ball milling, while hydropercussion-and-cavitation milling improves selectivity of dissociation at equal grain size composition of products from the rotary–pulsating machines and ball mills. Possible improvement of ore quality by fine hydraulic vibratory screening before deep concentration is examined. It is shown that as against hydrocyclones in pre-treatment circuits, fine hydraulic vibratory screens reduce circulation of fines with oversize flow, decrease overgrinding and increase mass fraction of optimal sizes for subsequent flotation.
Technology, bead mill, ultra-fine milling, Vertimill, flotation, fine hydraulic vibratory screening, mineral dissociation, extraction, slime
DOI: 10.1134/S1062739119056210
REFERENCES
1. Chanturia, V.A., Chaplygin, N.N., and Vigdergauz, V.Å., Resource-Saving Technologies of Mineral processing and the Environmental Protection, Progressivnye tekhnologii kompleksnoi pererabotki mineralnogo syrya (Advanced Technologies of Integrated Mineral Processing), Moscow: Ruda Metally, 2008.
2. Gazaleeva, G.I., Teoriya, tekhnologiya i tekhnika protsessov izmelcheniya mineralnogo syrya (Theory, Technology and Methods for Grinding Minerals), Yekaterinburg: AMB, 2017.
3. Sedel’nikova, G.V. and Romanchuk, À.I., Effektivnye tekhnologii izvlecheniya zolota iz rud i kontsentratov, in: Progressivnye tekhnologii kompleksnoi pererabotki mineralnogo syrya (Effective Technologies for Gold Extraction from Ores and Concentrates, in: Progressive Technologies for Complex Mineral Processing), Moscow: Ruda Metally, 2008.
4. Barsky, L.A. and Danil’chenko, L.Ì., Obogatimost mineralnykh kompleksov (Concentratability of Mineral Complexes), Moscow: Nedra, 1977.
5. Klassen, V.I., Nedogovorov, D.I., and Deberdeev, I.Kh., Shlamy vo flotatsionnom protsesse (Slime in Flotation), Moscow: Nedra, 1969.
6. Klassen, V.I. and Mokrousov, V.À., Vvedenie v teoriyu flotatsii (Introduction to the Flotation Theory), Moscow: Metallurgizdat, 1953.
7. Mitrofanov, S.I., Selektivnaya flotatsiya (Selective Flotation), Moscow: Metallurgizdat, 1958.
8. Chanturia, V.A. and Shadrunova, I.V., Tekhnologiya obogashcheniya mednykh i medno-tsinkovykh rud Urala (Concentration Technology of the Urals Copper and Copper-Zinc Ores), Moscow: Nauka, 2016.
9. Asnis, N.À., Bortkevich, S.V., Vagramyan, Ò.À., Glinkin, V.À., and Kalinkina, À.À., Study of Pulp Wave Treatment Effect on Flotation Concentration of Copper Sulphide Ores and Their Middlings, Tsvet. Metally, 2011, no. 10, pp. 42–45.
10. Khopunov, E.À., Selektivnoe razrushenie mineralnogo i tekhnogennogo syrys (v obogashchenii i metallurgii), (Selective Failure of Mineral and Man-Made Raw Materials (in Concentration and Metallurgy), Yekaterinburg, OOO UIPTS, 2013.
11. Skvortsov, L.S. and Serdyuk, B.P., Prospects for Applying Cavitation Hydrodynamic Reactor to Utilize Mining Waste, Fundamental Research and Applied Developments for Processing and Utilization of Man-Induced Waste: Proc. of the Congress of Young Scientists with Int. Participation, Yekaterinburg: UrO RAN.
12. Meshcheryakov, I.V., R&D of Multistage Hydropercussion-and-Cavitation Device for Finely Dispersed Grinding of Rebellious Ores, Cand. Tech. Sci. Thesis, 2014.
13. Mamonov, S.V., Mushketov, À.À., and Nechunaev, À.À., Fine Vibratory Screening in Ore Pre-Treatment for Copper Ore Flotation, Gornyi Zhurnal, 2013, no. 3, pp. 114–120.
14. Tsypin, Å.F., Mamonov, S.V., and Vlasov, I.À., Products of Classification and Fine Screening in Closed Cycle of Copper-Zinc Ore Grinding, Tsv. Metall., 2016, no. 2, pp. 4–11.
15. Ismagilov, R.I., Kozub, A.V., and Sharkovsky, D.O., Cutting-Edge Technological Solution Enabling Competitive Advantages of Iron-Ore Concentrate Produced by Mikhailovsky GOK, Abstract book of the 29th Int. Mineral Proc. Congress, Moscow, 2018.
16. Yusupov, Ò.S., Improvement of Dissociation of Rebellious Minerals, J. Min. Sci., 2016, vol. 52, no. 3, pp. 559–564.
17. Urakaev, F.Kh. and Yusupov, T.S., Numerical Evaluation of Kinematic and Dynamic Characteristics of Mineral Treatment in Disintegrator, J. Min. Sci., 2017, vol. 53, no. 1, pp. 133–140.
INFLUENCES OF GRINDING ON THE CLASSIFICATION AND ENRICHMENT OF VANADIUM IN STONE COAL
Liuyi Ren, Weineng Zeng, Xiaojie Rong, Qi Wang, and Shanglin Zeng
Scool of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China
e-mail: rly1015@163.com; rly1015@whut.edu.cn
University of Queensland, Brisbane, Queensland 4072, Australia
Changsha Research Institute of Mining and Metallurgy, Hunan 410012, China
Grinding, as an important preparation step for beneficiation is very necessary to study for the finely disseminated extent, vanadium-bearing stone coal with complex chemical composition. In this paper, grinding medium, time, degree and monomer dissociation degree were investigated in detail. The results show that the efficiency of rod milling is better than that of ball milling, especially the proportion of –0.038 mm size fraction obtained by rod milling is 10.89% higher than ball milling. The grinding degree of 8 min rod mill is –74 μm 73.19%, then the proportion of monomer is 70.68%. MLA measurement shows that roscoelite can not be dissociated by fine grinding. Vanadium concentrate with 0.97% of the grade and 89.88% of recovery was obtained by classification and shaking table technology. Tailing rate is 18.82%. The enrichment of vanadium can be realized by reasonable grinding and classification.
Vanadium, stone coal, grinding, classification, size fraction
DOI: 10.1134/S1062739119056222
REFERENCES
1. Zhang, Y., Bao, S., Liu, T., Chen, T., and Huang, J., The Technology of Extracting Vanadium from Stone Coal in China: History, Current Status and Future Prospects, Hydrometallurgy, 2011, vol. 109, pp. 116?124.
2. Zhao ,Y., Zhang, Y., Liu, T., Chen, T., Bian, Y., and Bao, S., Pre-Concentration of Vanadium from Stone Coal by Gravity Separation, J. Min. Proc., 2013, vol. 121, pp. 1?5.
3. He, D., Feng, Q., Zhang, G., Ou, L., and Lu, Y., An Environmentally-Friendly Technology of Vanadium Extraction from Stone Coal, J. Min. Eng., 2007, vol. 20, pp. 1184?1186.
4. Cai, Z., Feng, Y., Li, H., Du, Z., and Liu, X., Co-Recovery of Manganese from Low-Grade Pyrolusite and Vanadium from Stone Coal Using Fluidized Roasting Coupling Technology, Hydrometallurgy, 2013, vol. 131–132, pp. 40?45.
5. Ni, H., Huang, G., Yuan, A.W., Wang, X., and Zhou, X.Y., Comprehensive Utilization Technology for Low Grade Stone Coal Containing Vanadium, Chin. J. Nonferrous Met., 2010, vol. 62, pp. 92?95.
6. Wu, H.L., Zhao, W., Li, M.T., Deng, Z.G., Ge, H.W., and Wei, C., New Craft Study on Enriching Vanadium by Means of Priority Coal Flotation from High Carbon Stone Coal, J. Chin. Rare Earth Soc., 2008, vol. 26, pp. 530?533.
7. Zhao, Y.L., Zhang, Y.M., Bao, S.X., Liu, T., Bian, Y., Liu, X., and Jiang, M.F., Separation Factor of Shaking Table for Vanadium Pre-Concentration from Stone Coal, Sep. Purif. Technol., 2013, vol. 115, pp. 92?99.
8. Ren, L., Zhang, Y., Bian, Y., Liu, X., and Liu, C., Investigation of Quartz Flotation from Decarburized Vanadium Bearing Coal, J. Phys. Probl. Min. Proc., 2015, vol. 51, pp. 755?767.
9. Ren, L., Zhang, Y., Bian, Y., Liu, X., and Liu, C., Pre-Concentration of Vanadium from Mica Stone Coal by Unite Technologic Process, Proc of the 27th Int. Min. Proc. Congr., Santiago, Chile, 2014.
10. Ren, L., Qiu, H., Zhang, Y., Nguyen, A.V., Zhang, M., Wei, P., and Long, Q., Effects of Alkyl Ether amine and Calcium Ions on Fine Quartz Flotation and Its Guidance for Upgrading Vanadium from Stone Coal, Powder Technol., 2018, vol. 338, pp. 180?189.
11. Duan, X.X., Application of Selective Grinding, Yunnan Metallurgy, 1990, no. 3, pp. 21?24.
12. Zhang, G.F., Feng, Q.M., Chen, Q.Y., and Zhang, P.M., Study on Grinding Media of Selective Grinding of Bauxite, J. Cent. South Univ. (Science and Technology), 2004, vol. 35, no. 4, pp. 552?556.
13. Wei, X.C., Han, Y.X., Yin, W.Z., Zhai, Y.C., Tian, Y.W., and Chen, B.C., Study on the Necessity and Flexibility of Selective Grinding for Bauxite, J. Metal. Mine, 2001, no. 10, pp. 29?31.
14. Liu, X., Zhang, Y., Bian, Y., Zhao, Y., and Bao, S., Selective Grinding of Vanadium-Contained Stone Coal in Rod Mill, Hydrometallurgy of China, 2014, vol. 33, no. 5, pp 335?338.
15. Csoke, B., Bokanyi, L., Bohm, J., and Petho, Sz., Selective Grindability of Lignites and Their Application for Producing an Advanced Fuel, J. Appl. Energy, 2003, vol. 74, pp. 359?368.
16. Cordeiro, G.C., Tavares, L.M., and Toledo Filhoc, R.D., Improved Pozzolanic Activity of Sugar Cane Bagasse Ash by Selective Grinding and Classification, Cement and Concrete Research, 2016, vol. 89, pp. 269?275.
17. Wang, L., Sun, W., Liu, R., and Gu, X., Flotation Recovery of Vanadium from Low-Grade Stone Coal, Trans. Nonferrous Met. Soc. China, 2014, vol. 24, no. 4, pp. 1145?1151.
18. Yusupov, Ò.S., Improvement of Dissociation of Rebellious Minerals, J. Min. Sci., 2016, vol. 52, no. 3, pp. 559–564.
19. Urakaev, F.Kh. and Yusupov, T.S., Numeric Evaluation of Kinematic and Dynamic Characteristics of Mineral Treatment in Disintegrator, J. Min. Sci., 2017, vol. 53, no. 1, pp. 133–140.
MINING THERMOPHYSICS
SELECTION OF FROZEN BACKFILL MIXTURE COMPOSITION
M. V. Kaimonov and Yu. A. Khokholov
Chersky Institute of Mining of the North, Siberian Branch, Russian Academy of Sciences,
Yakutsk, 677980 Russia
e-mail: gtf@igds.ysn.ru
Artificial frozen backfill for coal and ore mines in permafrost zone is discussed. Optimal frozen mixtures with the required strength characteristics are determined. It is shown that load-bearing capacity of backfill depends on grain size composition and volumetric content of ice. The mathematical model of layer-by-layer backfilling is developed, and the freezing time is found. Varying mixture composition and freezing parameters allows arriving at the required strength of frozen backfill at minimal filling time.
Mine, frozen backfill, permafrost zone, permafrost, rock temperatures, adfreezing, mathematical modeling
DOI: 10.1134/S1062739119056234
REFERENCES
1. Sherstov, V.A., Podzemnaya razrabotka rossypnykh mestorozhdeniy (1965–2001 gg.) (Underground Mining of Placer Deposits in 1965–2001), Yakutsk: IM, 2002.
2. Neobutov, G.P., Petrov, D.N., and Nikulin, Å.V., Assessment of Changes in Tendencies of Developing Mining Technologies for Vein Deposits in the Permafrost Zone, GIAB, 2009, no. 4, pp. 14–22.
3. Neobutov, G.P. and Grinev, V.G., Razrabotka rudnykh mestorozhdeniy s ispolzovaniyem zamorazhivayemoy zakladki v usloviyakh mnogoletney merzloty (Mining Ore Deposits with Frozen Backfilling under Permafrost Conditions), Yakutsk: YANTS SO RAN, 1997.
4. Kaimonov, Ì.V., Khokholov, Yu.À., Kurilko, À.S., and Neobutov, G.P., Procedure of Layer-by-Layer Backfilling in Mine Workings, GIAB, 2003, no. 9, pp. 47–49.
5. Suknev, S.V., Determination of Elastic Properties of Rocks under Varying Temperature, J. Min. Sci., 2016, vol. 52, no. 2, pp. 378–387.
6. Levin, L.Yu., Semin, Ì.À., and Parshakov, Î.S., Mathematical Prediction of Frozen Wall Thickness in Shaft Sinking, J. Min. Sci., 2017, vol. 53, no. 5, pp. 938–944.
7. Vyalov, S.S., Reologiya merzlykh gruntov (Rheology of Frozen Soils), Moscow: Stroyizdat, 2000.
8. Tsytovich, N.À., Mekhanika gruntov (Soil Mechanics), Moscow: Vysshaya Shkola, 1973.
9. Votyakov, I.N., Fiziko-mekhanicheskie svoystva merzlykh i ottaivayushchikh gruntov Yakutii (Physical and Mechanical Properties of Frozen and Thawed Soils of Yakutia), Novosibirsk: Nauka, 1975.
10. Surikov, V.V., Mekhanika razrusheniya merzlykh gruntov (Failure Mechanics of Frozen Soils), Leningrad: Stroyizdat, 1978.
11. Taibashev, V.N., Physico-Mechanical Properties of Frozen Coarse Rocks, Trudy VNII-1, 1973, vol. XXXIII.
12. Rusilo, P.À., Temperature Behavior of Coarse Rocks in Underground Mining of Permafrost Placers, Kolyma, 1987, no. 1, pp. 5–8.
13. Kaimonov, Ì.V. and Kurilko, À.S., Selection of Composition for Optimal Frozen Backfilling Mixtures, GIAB, 2011, no. 10, pp. 127–132.
14. El’chanov, Å.À. and Rozenbaum, Ì.À., Influence of Change in Stresses and Starins on Coal Block Temperature Dynamics, Ugol’, 1977, no. 2, pp. 15–16.
15. Makarov, Yu.N., Determination of Stress Fields with Respect to Temperature Distribution in the Vicinity of Stopes and Development Workings, Soviet Mining, 1982, no. 5, pp. 108–112.
16. Volokhov, S.S., Mechanocaloric Effect in Frozen Soils under Uniaxial Compression, Kriosfera Zemli, 2016, no. 1, pp. 30–35.
17. Khokholov, Yu.A. and Solov’ev, D.E., Procedure of Joint Calculation of Temperature and Ventilation Mode in Uninterrupted Mining in Permafrost Zone, J. Min. Sci., 2013, vol. 49, no. 1, pp. 126–131.
18. Cao, W., Sheng, Yu, Wu, J., Li, J., Chou, Ya., and Li, J., Simulation Analysis of the Impacts of Underground Mining on Permafrost in an Opencast Coal Mine in the Northern Qinghai-Tibet Plateau, Environmental Earth Sciences, 2017, vol. 76, no. 20, p. 711.
19. Tikhonov, À.Ì. and Samarsky, À.À., Uravneniya matematicheskoi fiziki (Equations of Mathematical Physics), Moscow: Nauka, 1977.
20. Perl’shtein, G.Z., Vodno-teplovaya melioratsiya merzlykh porod na severo-vostoke SSSR (Warm Water Amelioration of Frozen Rocks in the North-East of the USSR), Novosibirsk: Nauka, 1979.
21. Pavlov, À.V. and Olovin, B.À., Iskusstvennoe ottaivanie merzlykh porod teplom solnechnoi radiatsii pri razrabotke rossypei (Artificial Thawing of Frozen Rocks by the Heat of Solar Radiation when Placer Mining), Novosibirsk: Nauka, 1974.
22. Samarsky, À.À., Teoriya raznostnykh skhem (Theory of Difference Schemes), Moscow: Nauka, 1983.
23. Omel’yanenko, À.V. and Fedorova, L.L., Georadiolokatsionnye issledovaniya mnogoletnemerzlykh porod (Georadar Study of Permafrost Rocks), Yakutsk, Izd. SO RAN, 2006.
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