Перейти на старую версию сайта

JMS, Vol. 60, No. 4, 2024


GEOMECHANICS


DEVELOPMENT OF MATHEMATICAL MODELING METHODS AND SOLUTION OF PRESENT-DAY PROBLEMS IN GEOMECHANICS AT THE INSTITUTE OF MINING SB RAS
S. V. Lavrikov

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630091 Russia
e-mail: lvk64@misd.ru

This article commemorates a double jubilee date on February 8, 2024—the 300th anniversary of the Russian Academy of Sciences and the 80th anniversary of the Institute of Mining SB RAS. The author reviews the research and findings of the Institute’s scientists over the last 10–15 years in the area of mathematical modeling and numerical solution of present-day problems in geomechanics.

Rock, underground opening, mathematical model, numerical algorithm, boundary value problem, software system, stress pattern

DOI: 10.1134/S106273912404001X

REFERENCES
1. Heim, A., Mechanismus der Gebirgsbildung im Anschluss an die geologische, Monographie der Toedi-Windgaellen-Gruppe, Bäle, 1878.
2. Dinnik, A.N., Rock Pressure and Circular Tunnel Support Design, Inzh. rabotnik, 1925, no. 7, pp. 1–12.
3. Kurlenya, M.V. and Popov, S.N., Teoreticheskie osnovy opredeleniya napryzhenii v gornykh porodakh (Theory of Stress Determination in Rocks), Novosibirsk: Nauka, 1983.
4. Kurlenya, M.V., Guzhova, S.V., and Kulakov, G.I., Zhestkie datchiki napryazhenii dlya geomekhanicheskikh izmerenii (Rigid Stress Sensors for Geomechanical Measurements), Novosibirsk: Nauka, 1990.
5. Kulakov, G.I., Use of Photoelastic Indicators in the Complete Relief Method, Journal of Mining Science, vol. 16, no. 5, pp. 484–488.
6. Leont’ev, A.V. and Popov, S.N., Experience of Application of Hydraulic Fracturing Stress Measurement Technique, Gornyi Zhurnal, 2003, no. 3, pp. 37–43.
7. Leont’ev, A.V., Rubtsova, E.V., Lekontsev, Yu.M., and Kachal’sky, V.G., Measuring-Computing Complex “Gidrorazryv”, Journal of Mining Science, 2010, vol. 46, no. 1, pp. 89–94.
8. Rubtsova, E.V. and Skulkin, A.A., Hydraulic Fracturing Stress Measurement in Underground Salt Rock Mines at Upper Kama Deposit, IOP Conference Series: Earth Environ. Sci., 2018, vol. 134, issue 1, 012049.
9. Neverov, S.A., Neverov, A.A., Konurin, A.I., Adylkanova, M.A., and Orlov, D.V., Application of Neural Networks in Rock Mass Stress Assessment by Photoelasticity, Journal of Mining Science, 2023, vol. 59, no. 6, pp. 1045–1057.
10. Serdyukov, S.V., Kurlenya, M.V., Patutin, A.V., Rybalkin, L.A., and Shilova, T.V., Experimental Test of Directional Hydraulic Fracturing Technique, Journal of Mining Science, 2016, vol. 52, no. 4, pp. 615–622.
11. Kurlenya, M.V., Baryshnikov, V.D., Baryshnikov, D.V., Gakhova, L.N., Kachal’sky, V.G., and Khmelinin, A.P., Development and Improvement of Borehole Methods for Estimating and Monitoring Stress–Strain Behavior of Engineering Facilities in Mines, Journal of Mining Science, 2019, vol. 55, no. 4, pp. 682–694.
12. Baryshnikov, V.D., Baryshnikov, D.V., and Khmelinin, A.P., RF patent no. RU 2699295, Byull. Izobret., 2019, no. 25.
13. Shemyakin, E.I., Two Problems in Rock Mechanics Arising out of the Working of Deep Ore or Coal Deposits, Journal of Mining Science, 1975, vol. 11, no. 6, pp. 632–646.
14. Revuzhenko, A.F., Stazhevsky, S.B., and Shemyakin, E.I., Mechanism of Deformation of a Granular under High Shear, Journal of Mining Science, 1974, vol. 10, no. 3, pp. 374–377.
15. Revuzhenko, A.F. and Shemyakin, E.I., Deformation Kinematics in Granular Medium with Nonviscous Friction, PMTF, 1974, no. 4, pp. 119–124.
16. Shemyakin, E.I., Free Fracture of Solids, Dokl. AN SSSR, 1988, vol. 300, no. 5, pp. 1090–1094.
17. Sadovsky, M.A., Natural Lumpiness of Rocks, Dokl. AN SSSR, 1979, vol. 247, no. 4, pp. 829–831.
18. Sadovsky, M.A., Bolhovitinov, L.G. and Pisarenko, V.F., Discreteness of Rocks, Izv. AN SSSR. Fizika Zemli, 1982, no. 12, pp. 337–352.
19. Kocharyan, G.G. and Spivak, A.A., Dinamika deformirovaniya blochnykh massivov gornykh porod (Deformation Dynamics of Blocky Rock Masses), Moscow: Akademkniga, 2003.
20. Moroz, A.I., Samonapryazhennoe sostoyanie gornykh porod (Self-Stress State of Rocks), Moscow: MNGGU, 2004.
21. Ponomarev, V.S., Problems of Studying Energy-Active Geological Environment, Geotektonika, 2011, no. 2, pp. 66–75.
22. Adushkin, V.V., Kocharyan, G.G., and Ostapchuk, A.A., Parameters of Energy Release in Dynamic Unloading of Rock Mass, Dokl. Akad. Nauk, 2016, vol. 467, no. 1, pp. 86–90.
23. Stavrogin, A.N. and Shirkes, O.A., Aftereffects in Rocks Caused by Preexisting Irreversible Deformations, Journal of Mining Science, 1986, vol. 22, no. 4, pp. 235–244.
24. Adushkin, A.A., Gornov, V.V., Kurlenya, M.V., Oparin, V.N., Revuzhenko, A.F., and Spivak, A.A., Alternating Response of Rocks to Impacts, Dokl. AN SSSR, vol. 323, no. 2, pp. 263–269.
25. Kosykh V. P. Change in the Elastic and Rheological Properties of Structurally Heterogeneous Geomaterials under Multiple Weak Impacts, IOP Conf. Series: Earth and Environmental Science, 2022, vol. 991. 010043.
26. Lavrikov, S.V. and Revuzhenko, A.F., One Experimental Rock Model, Journal of Mining Science, 1991, vol. 27, no. 4, pp. 288–293.
27. Revuzhenko, A.F., Mekhanika uprugoplasticheskikh sred i nestandartnyi analiz (Mechanics of Elastoplastic Media and Nonstandard Analysis), Novosibirsk: NGU, 2000.
28. Lavrikov, S.V. and Revuzhenko, A.F., Deformation of a Blocky Medium around a Working, Journal of Mining Science, 1990, vol. 26, no. 6, pp. 485–492.
29. Lavrikov, S.V. and Revuzhenko, A.F., Model of Deformation of Pillars with Consideration of the Effects of Energy Storage and Weakening of the Material, Journal of Mining Science, 1994, vol. 30, no. 6, pp. 533–562.
30. Lavrikov, S.V. and Revuzhenko, A.F., Mathematical Modeling of Deformation of Self-Stress Rock Mass Surrounding a Tunnel, Desiderata Geotechnica, Springer Nature Switzerland AG, W. Wu (ed.), 2019, pp. 79–85.
31. Lavrikov, S.V. and Revuzhenko, A.F., Mathematical Modeling of Unstable Deformation in Rock Mass with Regard to Self-Balancing Stresses, Journal of Mining Science, 2020, vol. 56, no. 6, pp. 887–902.
32. Revuzhenko, A.F., Matematicheskii analiz funktsii nearkhimedovoi peremennoi: spetsializirovannyi matematicherskii apparat dlya opisaniya struktrunykh urovnei geosredy (Mathematical Analysis of Functions of Non-Archimedean Variable: Specialized Mathematical Apparatus for Describing Structural Levels in Geomedim), Novosibirsk: Nauka, 2012.
33. Revuzhenko, A.F., Applications of Non-Archimedean Analysis in the Block Hierarchical Rock Mass Mechanics, Journal of Mining Science, 2016, vol. 52, no. 5, pp. 842–850.
34. Lavrikov, S.V., Mikenina, O.A., Revuzhenko, A.F., and Shemyakin, E.I., Concept of Non-Archimedean Multiscale Space and Models of Plastic Media with Structure, Fiz. Mezomeklh., 2008, vol. 11, no. 3, pp. 45–60.
35. Revuzhenko, A.F., Multi-Scale Mathematical Models of Geomedia, Journal of Mining Science, 2022, vol. 58, no. 3, pp. 347–356.
36. Lavrikov, S.V., Mikenina, O.A., and Revuzhenko, A.F., A Non-Archimedean Number System to Characterize the Structurally Inhomogeneous Rock Behavior nearby a Tunnel, J. Rock Mech. Geotechnical Eng., 2011, vol. 3, no. 2, pp. 153–160.
37. Revuzhenko, A.F., Uniform Deformation of Continuum, Prikl. Mekh. Tekh. Fiz., 1997, vol. 38, no. 3, pp. 131–139.
38. Revuzhenko, A.F., Prilivnye volny i napravlennyi perenos mass Zemli (Tidal Waves and Directional Mass Transport in the Earth System), Novosibirsk: Nauka, 2003.
39. Lavrikov, S.V. and Revuzhenko, A.Ph., Complex Loading of Heterogeneous Materials with Redistribution of Internal Mass, Theoretical and Applied Fracture Mechanics, 1998, vol. 29, pp. 85–91.
40. Lavrikov, S.V. and Revuzhenko, A.Ph., Hypoplastic Simulation of Complex Loading Path, Constitutive Modeling of Granular Materials, D. Kolymbas (Ed.), Berlin, Heidelberg, N.Y., Springer-Verlag, 2000, pp. 539–554.
41. Lavrikov, S.V., Calculating Differentiated Rotation of Rigid Core in Hypoplastic Media in Complex Loading, Prikl. Mekh. Tekh. Fiz., 2002, vol. 43, no. 6, pp. 75–83.
42. Kraus, E.I., Lavrikov, S.V., Medvedev, A.E., Revuzhenko, A.F., and Shabalin, I.I.., Modeling Phenomenon of Differentiated Rotation in Granular Media in Complex Loading, Prikl. Mekh. Tekh. Fiz., 2009, vol. 50, no. 4, pp. 139–149.
43. Seryakov, V.M., Mathematical Modeling of Stress–Strain State in Rock Mass during Mining with Backfill, Journal of Mining Science, 2014, vol. 50, no. 5, pp. 847–854.
44. Seryakov, V.M., Stress Determination in Rock Mass with Regard to Sequence of Deep-Level Cut-and-Fill, Journal of Mining Science, 2021, vol. 57, no. 6, pp. 894–900.
45. Seryakov, S.V. an Krasnovsky, A.A., Stress State of Support System in Temporary Roadway in Unstable Rock Mass, Journal of Mining Science, 2022, vol. 58, no. 6, pp. 911–919.
46. Seryakov, S.V. an Krasnovsky, A.A., Stress–Strain Assessment of Rock Mass in Filling Roof Rock Falls with Phenol Resin, J. Fundament. Appl. Min. Sci., 2020, vol. 7., no. 1, pp. 144–148.
47. Seryakov, V.M., Thermal Conductivity Problem Algorithms for the Rock Mass Stress–Strain Calculation with Regard to Cutting and Backfilling Sequence, J. Fundament. Appl. Min. Sci., 2022, vol. 9, no. 3, pp. 54–59.
48. Seryakov, V.M., Thermal Stress State in the Vicinity of Underground Roadways, Journal of Mining Science, 2023, vol. 59, no. 6, pp. 901–910.
49. Baryshnikov, V.D., Baryshnikov, D.V., and Gakhova, L.N., Stress–Strain Prediction in Rock Mass with Stope under Open Pit Bottom in the Course of Mining, J. Fundament. Appl. Min. Sci., 2020, vol. 7, no. 1, pp. 18–22.
50. Baryshnikov, V.D. and Gakhova, L.N., Stress–Strain Assessment of Rock Mass near Underground Roadways in Slice Mining of Steeply Dipping Ore Bodies, J, Fundament. Appl. Min. Sci., 2017, vol. 4, no. 2, pp. 32–36.
51. Nazarov, L.A., Nazarova, L.A., Miroshnichenko, N.A., Panov, A.V., Dyad’kov, P.G., and Tsibizov, L.V., Seasonal Variation in the Water Level of the Baikal Lake and Weak Seismicity in the Baikal Rift Zone, MIAB, 2018, no. 2, pp. 140–147.
52. Nazarova, L.A. and Nazarov, L.A., Method for Weak Zones Location at the Coal-Bed—Host Rock Joint Relative to the Problem of Sudden Outbursts: Theory and Laboratory Experiment, Frattura ed Integrità Strutturale, 2023, vol. 17, no. 63, pp. 13–25.
53. Tcheverda, V.A., Epov, M.I., Nazarov, L.A., Nazarova, L.A., and Romenskii, E.I., Acoustic Method for Defining the Stress State of a Rock Massif Based on Solution of the Seismic Inverse Problem, Doklady Earth Sci., 2016, vol. 466 (2), pp. 210–213.
54. Nazarova, L.A., Nazarov, L.A., Golikov, N.A., Assessment of Rheological Properties of Bazhenov Formation by Thermobaric Test Data, Journal of Mining Science, 2017, vol. 53, no. 3, pp. 434–440.
55. Nazarov, L.A., Golikov, N.A., Skulkin, A.A., and Nazarova, L.A., Experimental Determination of Poroperm Properties of Fractured Porous Geomaterials within the Framework of Dual-Permeability Model, Journal of Mining Science, 2023, vol. 59, no. 4, pp. 536–547.
56. Vasichev, S.Yu., Konurin, A.I., Neverov, S.A., and Neverov, A.A., Ore Extraction Efficiency in Sublevel Caving with Front-Face Ore Drawing at Great Depths, Gornyi Zhurnal, 2023, no. 1, pp. 47–53.
57. Neverov, A.A., Konurin, A.I., Neverov, S.A., and Kudrya, A.O., Numerical Stress–Strain Modeling of Components of Three-Link Metal Arch Support, J. Fundament. Appl. Min. Sci., 2021, vol. 8, no. 2, pp. 110–117.
58. Neverov, S.A., Neverov, A.A,m Shchukin, S.A., Shaposhnik, Yu.N., and Nikol’sky, A.M., Justification of Bottom-Up Cut-and-Dry Fill Approach to Mining Gold Reserves under Open Pit Bottom, Journal of Mining Science, 2020, vol. 56, no. 4, pp. 575–587.
59. Konurin, A.I., Neverov, S.A., Neverov, A.A., and Shchukin, S.A., Problem of Numerical Modeling of Stress–Strain State and Stability of Fractured Rock Mass, Fundamental and Applied Issues of Mining, 2019, vol. 6, no. 2, pp. 144–150.
60. Neverov, A.A., Neverov, S.A., and Vasichev, S.Yu., Comparative Analysis of Numerical and Physical Stress–Strain Modeling of Rock Mass, Vestn. KuzGTU, 2013, vol. 98, no. 4, pp. 14–22.
61. Novozhilov, V.V., Theory of Equilibrium Cracks in Brittle Bodies, Prikl. Matem. Mekh., 1969, vol. 33, no. 5, pp. 797–812.
62. Revuzhenko, A.F., Rock Failure Criteria Based on New Stress Tensor Invariants, Journal of Mining Science, 2014, vol. 50, no. 4, pp. 437–442. https://doi.org/10.1134/S1062739114030053.
63. Revuzhenko, A.F. and Mikenina, O.A., Limit State Criteria for Ideal Cohesive and Granular Materials, Fundamental and Applied Issues of Mining, 2014, vol. 1, no. 1, pp. 280–284.
64. Crouch, S.L. and Starfield, A.M., Boundary Element Methods in Solid Mechanics, London, 1983.
65. Sher, E.N., Shape and Size of Radial Cracks under Blasting of Two Closely Spaced Blasthole Charges, Fundamental and Applied Issues of Mining, 2016, vol. 3, no. 1, pp. 250–255.
66. Sher, E.N., Development of a System of Plane Radial Cracks in Explosion of Linear Blasthole and Borehole and Burning Charge, Journal of Applied Mechanics and Technical Physics, 2017, vol. 58, no. 5, pp. 201–207.
67. Sher, E.N., Determination of Shapes and Sizes of Radial Cracks Formed by Blasthole Charges and Hydraulic Fracturing in a Layered Rock Mass, Fundamental and Applied Issues of Mining, 2019, vol. 6, no. 1, pp. 266–270.
68. Sher, E.N., Modeling Propagation of Fractures in Layered Rock Mass during Blasting and Hydraulic Fracturing, Journal of Mining Science, 2020, vol. 56, no. 6, pp. 914–924.
69. Aleksandrova, N.I., Pendulum Waves on the Surface of Block Rock Mass under Dynamic Impact, Journal of Mining Science, 2017, vol. 53, no. 1, pp. 59–64.
70. Aleksandrova, N.I., The Propagation of Transient Waves in Two-Dimensional Square Lattices, Int. J. Solids Structur, 2022, vol. 234–235. 111194.
71. Zheltov, Yu.P. and Khristianovich, S.A., Hydraulic Fracturing in Oil Stratum, Izv. AN SSSR. Otdel Tekh. Nauk, 1955, no. 5, pp. 3–41.
72. Perkins, T.K. and Kern, L.R., Widths of Hydraulic Fractures, J. Petroleum Technolog., 1961, vol. 13, no. 9, pp. 937–949.
73. Cherny, S.G., Lapin, V.N., Esipov, D.V., and Kuranakov, D.S., Metody modelirovaniya zarozhdeniya i rasprostraneniya treshchin (Methods of Modeling Fracture Initiation and Propagation), Novosibirsk: IVT SO RAN, 2016.
74. Lekontsev, Yu.M. and Sazhin, P.V., Directional Hydraulic Fracturing in Difficult Caving Roof Control and Coal Degassing, Journal of Mining Science, 2014, vol. 50, no. 5, pp. 914–917.
75. Chen, J., Li, X., Cao, H., and Huang, L., Experimental Investigation on the Influence of Pulsating Hydraulic Fracturing on Pre-Existing Fractures Propagation in Coal, J. Pet. Sci. Eng., 2020, vol. 189. 107040.
76. Azarov, A.V., Kurlenya, M.V., and Serdyukov, S.V., Fracturing Simulation Software for Solid Mineral Mining, Journal of Minin Science, 2020, vol. 56, no. 5, pp. 868–875.
77. Azarov, A., Patutin, A., and Serdyukov, S., Mathematical Modeling of Hydraulic Fracture Propagation in Poroelastic Medium, Int. Multidisciplinary Sci. Geo Conf. SGEM, 2019, vol. 19, pp. 401–406.
78. Azarov, A.V. and Serdyukov, S.V., 3D Modeling of Hydraulic Fracturing in an Isotropic Elastic Medium with a Fracture Initiator at the Hole Bottom, Journal of Mining Science, 2021, vol. 57, no. 6, pp. 933–942.
79. Azarov, A.V. and Serdyukov, S.V., Modeling Hydraulic Fracturing near Circular Underground Opening in Triaxial Compression, Journal of Mining Science, 2023, vol. 59, no. 5, pp. 749–762.
80. Kolykhalov, I.V., Martynyuk, P.A., and Sher, E.N., Modeling Fracture Growth under Multiple Hydraulic Fracturing Using Viscous Fluid, Journal of Mining Science, 2016, vol. 52, no. 4, pp. 662–669.
81. Sher, E.N. and Kolykhalov, I.V., Determination of Hydrofracture Geometry in a Production Reservoir, Journal of Mining Sciences, 2014, vol. 50, no. 6, pp. 1007–1016.
82. Zhurkina, S.D., Lavrikov, S.V., and Revuzhenko, A.F., A Model of Joint Rock–Proppant Deformation in Hydraulic Fracturing, Journal of Mining Science, 2023, vol. 59, no. 5, pp. 713–722.
83. Cundall, P.A. and Strack, O.D.L., A Discrete Numerical Model for Granular Assemblies, Geotechnique, 1979, vol. 29, no. 6, pp. 47–65.
84. Psakhie, S.G., Shilko, E.V., Grigoriev, A.S., Astafurov, S.V., Dimaki, A.V., and Smolin, A.Yu., A Mathematical Model of Particle-Particle Interaction for Discrete Element Based Modeling of Deformation and Fracture of Heterogeneous Elastic–Plastic Materials, Eng. Fract. Mech., 2014, vol. 130, pp. 96–115.
85. Zhao, J.D. and Guo, N., Bridging the Micro and Macro for Granular Media: А Computational Multi-Scale Paradigm, Geomechanics from Micro to Macro, Soga et al. (Eds.), London: Taylor & Francis Group, 2015, pp. 747–752.
86. Revuzhenko, A.F., Concept of Ideal Mixers for Powdered Materials, Poroshkov. Metallurgiya, 1989, no. 4.
87. Osinov, V.A., Model of Discrete Stochastic Media in Problems of Deformation and Flow of Granular Materials, FTPRPI, 1992, no. 5, pp. 44–53.
88. Lavrikov, S.V. and Revuzhenko, A.F., Stochastic Models in Problems of the Local Deformation of Flowing Media in Radial Channel, Journal of Mining Science, 2000, vol. 36, no. 1, pp. 8–16.
89. Klishin, S. and Mikenina, O., DEM Generation of Particle Packs in the Aristotelian Mechanics, AIP Conf. Proc., 2021, vol. 2448. 020011.
90. Khan, G.N., Nonsymmetrical Regime of Rock Mass Failure in the Vicinity of a Void, Fiz. Mezomekh., 2008, vol. 11, no. 1, pp. 109–114.
91. Stazhevsky, S.B. and Khan, G.N., Relation between High Tectonic Stresses and Endogenous Ring Structures, Journal of Mining Science, 2017, vol. 53, no. 6, pp. 1016–1024.
92. Stazhevsky, S.B. and Khan, G.N., On Changes in Stress-Strain State of Mineral Deposits, Fundament. Appl. Vopr. Gorn. Nauk, 2017, vol. 2, no. 2, pp. 157–162.
93. Klishin, S.V., Discrete-Element Modeling of Strain Localization in Granular Medium at Passive Pressure Application to a Retaining Wall, Journal of Mining Science, 2021, vol. 57, no. 5, pp. 740–748.
94. Zhurkina, D.S., Klishin, S.V., Lavrikov, S.V., and Leonov, M.G., DEM-Based Modeling of Shear Localization and Transition of Geomedium to Unstable Deformation, Journal of Mining Science, 2022, vol. 58, no. 3, pp. 357–365.
95. Klihin, S.V., Discrete Element Modeling of Discharge Flow of Granular Media from Underground Chamber with Account of the Non-Spherical Particle Form, J. Fundament. Appl. Iss. Min., 2019, vol. 6, no. 2, pp.
96. Klishin, S.V., Lavrikov, S.V., Mikenina, O.A., and Revuzhenko, A.F., Discrete Element Method Modification for the Transition to a Linearly Elastic Body Model, IOP Conf. Series: J. Phys., 2018, vol. 973. 012008.
97. Klishin, S.V., Lavrikov, S.V., and Revuzhenko, A.F., Numerical Simulation of Abutment Pressure Redistribution During Face Advance, AIP Conf. Proc., 2017, vol. 1909. 020086.
98. Klishin, S.V. and Revuzhenko, A.F., Shear Localization and Structuring in Granular Medium Flow in Radial Channel, Journal of Mining Science, 2023, vol. 59, no. 1, pp. 17–28.
99. Lavrikov, S.V. and Revuzhenko, A.F., Modeling Accumulation and Release of Energy in a Geo-Medium under the Influence of Tidal Forces, Trigger Effects in Geosystems, G. Kocharyan and A. Lyakhov (Eds.), Springer Proc. Earth Environ. Sci., Springer Nature Switzerland AG, 2019, pp. 105–113.
100. Zhurkina, D.S. and Lavrikov, S.V., Problem of Simple Shear in Granular Medium: Comparison of DEM Modeling Results and Laboratory Testing Data, AIP Conf. Proc., 2021, vol. 2448. 020027.
101. Kosykh, V.P. and Mikenina, O.A., Clustering in Granular Medium in Biaxial Compression, Journal of Mining Science, 2022, vol. 68, no. 4, pp. 534–540.
102. Kosykh, V.P. and Mikenina, O.A., Temporary Structure Formation in Granular Media under Periodic Shear: Numerical Modeling and Experiment, Journal of Mining Science, 2023, vol. 59, no. 5, pp. 729–735.
103. Zhurkina, D.S. and Lavrikov, S.V., Determining Macroproperties of Geomaterial Samples in Simple Shearing versus Microparameters of Descrete Element Method, Dinamich. Prots. Geosfer., 2023, vol. 15, no. 1, pp. 1–10.
104. Trusov, P.V., Some Questions of Nonlinear Mechanics of Deformable Solid: Discussion, Matem. Modelir. Sistem Prots., 2009, vol. 17, pp. 85–95.
105. Mindlin, R.D., Microstructure in Linear Elasticity, Mekhanika, 1964, vol. 86, no. 4, pp. 129–160.
106. Kunin, I.A., Teoriya uprugikh sred s mikrostruturoi: Nelokal’naya teoriya uprugosti (Theory of Elastic Media with Microstructure: Nonlocal Elasticity), Moscow: Nauka, 1975.
107. Eringen, A.C., Theory of Micropolar Elasticity, Microcontinuum Field Theories, Springer, New York, 1999, https://doi.org/10.1007/978-1-4612-0555-5_5
108. Erofeev, V.I., Volnovye protsessy v tverdykh telakh s mikrostrukturoi (Wave Processes in Solids with Microstructure), Moscow: MGU, 1999.
109. Voigt, W., Theoretische studien uber die elastizitatsverhaltnisse der kristalle, Abh. Koniglichen Gesellschaft Wiss. Gottingen, 1887.
110. Cosserat, E. and Cosserat, F., Theorie des corps deformables, Paris, A. Hermann et fils, 1909.
111. Smolin, I.Yu., Application of Micropolar Models to Description of Plastic Meso-Scale Deformation, Modelir. System Prots., 2006, no. 14, pp. 189–205.
112. Mindling, R.D., Influence of Couple-Stresses on Stress Concentrations, Experimental Mechanics, 1963, vol. 2, pp. 1–7. https://doi.org/10.1007/BF02327219
113. Savin, G.N., Raspredelenie napryazhenii okolo otverstii (Stress Distribution at Holes), Kiev: Nauk. Dumka, 1968.
114. Kulesh, M.A., Matveenko, V.P., and Shardakov, I.N., Exact Analytical Solution of the Kirsch Problem within the Framework of the Cosserat Continuum and Pseudocontinuum, J. Applied Mechanics and Technical Physics, 2001, vol. 42, no. 4, pp. 687–695.
115. Revuzhenko, A.F., Version of the Linear Elasticity Theory with a Structural Parameter, J. Applied Mechanics and Technical Physics, 2016, vol. 57, no. 5, pp. 801–807.
116. Revuzhenko, A.F., Three-Dimensional Model of a Structured Linearly Elastic Body, Physical Mesomechanics, 2022, vol. 25, no. 1 pp. 33–41.
117. Revuzhenko, A.F. and Mikenina, O.A., Elastoplastic Model of Rocks with a Linear Structural Parameter, J. Applied Mechanics and Technical Physics, 2018, vol. 57, no. 2, pp. 332–340.
118. Revuzhenko, A.F., Lavrikov, S.V., and Mikenina, O.A., About One Alternative Difference Scheme of Numerical Solution of Elastic Problems of Determining Rock Mass Stress–Strain State, Fundament. Appl. Iss. Mining, 2020, vol. 7, no. 1, pp. 131–137.
119. Altukhov, V.I., Lavrikov, S.V., and Revuzhenko, A.F., Stress Concentration Analysis in Rock Pillars in the Framework of Non-Local Elastic Model with Structural Parameter, Fundament. Appl. Iss. Mining, 2019, vol. 6, no. 1, pp. 39–45.
120. Lavrikov, S.V. and Mikenina, O.A., Stress Concentration Analysis in Rock Mass with Regard to Elastoplastic Shears and Local Bends, AIP Conf. Proc., 2023, vol. 2899. 020088.
121. Zhurkina, D.S. and Lavrikov, S.V., Calculation of Stress Concentration in Influence Zone of Mining Face within Gradient-Type Elastoplastic Modeling, Journal of Mining Science, 2024, vo. 60, no. 4, pp. 375–386.
122. Revuzhenko, A.F., Mechanics of Granular Media, E. I. Shemyakin and D. Kolymbas (Eds.), Berlin: Heidelberg, Springer-Verlag, 2006.
123. Björkman, B., Bäckblom, G., Greberg, J., and Weihed, P., Strategic Research and Innovation Agenda for the Swedish Mining and Metal Producing Industry (STRIM), Lulea, Sweden, Rock Tech. Center, 2013.
124. Lindqvist, P.-A., Sustainable Mining and Innovation for the Future, Research, Development and Innovation Program (SMIFU), Luleа, Sweden, Rock Tech. Center, 2012.
125. Dubnishcheva, Y.Ya., Kontseptsii sovremennogo estestvoznaniya (Natural Science Concepts), Moscow: Akademiya, 2003.


THREE-DIMENSIONAL MODELING OF AIR-BORNE DUST CLOUD PROPAGATION BEYOND SURFACE MINE BOUNDARIES DURING LARGE-SCALE BLASTING
V. M. Khazins*, V. V. Shuvalov, and S. P. Solov’ev

Academician Sadovsky Institute of Geosphere Dynamics, Russian Academy of Sciences, Moscow, 119334 Russia
*e-mail: khazins@idg.ras.ru

Wind transport of an air-borne dust cloud in the atmospheric boundary layer in the neighborhood area of a surface mine is analyzed by numerical solution of the Navier–Stokes equations in their full form for a compressible liquid and in a subsonic flow approximation. The dust source is a large-scale blast at a total mass of ~100 g of TNT at a depth of 250 m in the pitwall rock mass. The calculations take into account a portion of dust raised above ground surface by blasting. The size of the surface areas of air-borne dust concentrations above maximal allowable values is estimated. The relationship of this size and the wind direction–pitwall angle α is analyzed. The maximal distance between the pitwall and the area of dust concentration above MAV is 3 km. The exposure duration at the fixed point on ground surface is independent of the angle α and ranges from a few minutes at a distance of 500 m from the blast center to a dozen minutes at a distance of 3 km.

Surface mines, large-scale blasts, dust concentration, maximum allowable values, atmospheric boundary layer, aerodynamics, numerical modeling

DOI: 10.1134/S1062739124040021

REFERENCES
1. Adushkin, V.V., Solov’ev, S.P., Spivak, A.A., and Khazins, V.M., Open Pit Mining with Blasting: GeoEcological Aftermath, Journal of Mining Science, 2020, vol. 56, no. 2, pp. 309–321.
2. Patra, A.K., Gautam, G., and Kumar, P., Emissions and Human Health Impact of Particulate Matter from Surface Mining Operation—A Review, Env. Technol. Innovat., 2016, vol. 5, pp. 233‒249.
3. Adushkin, V.V., Vaidler, P.G., Dubovskoy, A.N., Pernik, L.M., Popel’s, S.I., and Fridrikh, F, Properties of Nano- and Micro-Particulate Emissions from Open Pit Iron Ore Mining, Geolog. Rud. Mestorozhd., 2010, vol. 52 (5), pp. 418‒426.
4. Silvester, S.A., Lowndes, I.S., and Hargreaves, D.M., A Computational Study of Particulate Emissions from an Open Pit Quarry under Neutral Atmospheric Conditions, Atmos. Env., 2009, vol. 4, pp. 6415‒6424.
5. Torno, S., Toraño, J., Menéndez, M., and Gent, M., CFD Simulation of Blasting Dust for the Design of Physical Barriers, Env. Earth Sci., 2010, vol. 64, pp. 73‒83.
6. Joseph, G.M.D., Lowndes, I.S., and Hargreaves, D.M., A Computational Study of Particulate Emissions from Old Moor Quarry, UK, J. Wind Eng. Ind. Aerodyn., 2018, vol. 172, pp. 68‒84.
7. Wang, Y., Du, C., and Xu, H., Key Factor Analysis and Model Establishment of Blasting Dust Diffusion in a Deep, Sunken Open-Pit Mine, ACS Omega, 2021, vol. 6, no. 1, pp. 448‒455.
8. Gendler, S.G. and Borisovsky, I.A., Assessment of Formation of Temperature Inversions in Open Pit Mining in the Arctic, Izv. TulGU. Nauki o Zemle, 2021, no. 4, pp. 59‒75.
9. Khazins, V.M., Solov’ev, S.P., Loktev, D.N., Krasheninnikov, A.V., and Shuvalov, V.V., Nearsurface Air Layer Pollution with Micronic Dust Particles in Large-Scale Blasting in Open Pit Mining, Journal of Mining Science, 2022, vol. 58, no. 4, pp. 676–689.
10. Amosov, P.V. and Baklanov, A.A., Aerothermodynamic Modeling to Study Dusting Processes at Tailings Ponds Using COMSOL, Vestn. MGTU, 2023, vol. 26, no. 1, pp. 25‒44.
11. Ugarov, A.A., Ismagilov, R.I., Badtiev, B.P., and Borisov, I.I., State-of-the Art and Future Considerations on Drilling-and-Blasting System at Plants of Metalloinvest, Gornyi Zhurnal, 2017, no. 5, pp. 102‒106.
12. Shuvalov, V., Khazins, V., Krasheninnikov, A., and Soloviev, S., Formation and Evolution of a Dust Cloud as a Result of TNT Detonation in a Borehole: Numerical Simulation, Mining, 2023, vol. 3, no. 2, pp. 261‒270.
13. Khazins, V.M., Shuvalov, V.V., and Solov’ev, S.P., Numerical Modeling of Evolution of Air-Borne Dust from Blasting in Open Pit Mine, Din. Prots. Geosfer., 2023, vol. 15, no. 2, pp. 63‒80.
14. Russian State Standard GOST R 54084-2010, Moscow: Standartinform, 2013.
15. Stull, R.B., An Introduction to Boundary Layer Meteorology, Netherlands: Kluwer Acad. Publ., 1988.
16. Lykosov, V.N., Interaction of Air and Underlying Surface, Matematicheskoe modelirovanie Zemnoi sistemy (Mathematical Modeling of the Earth’s System), Moscow: MAKS Press, 2016.
17. Khazins, V.M., Numerical Modeling of Flow in Wind Interaction with Flat Rough Surface, Din. Prost. Geosfer., 2023, vol. 15, no. 4, pp. 1‒14.
18. Nieuwstadt, F.T.M., Mason, P.J., Moeng, C.-H., and Schumann, U., Large-eddy Simulation of the Convective Boundary Layer: A Comparison of Four Computer Codes, Turbulent Shear Flows 8, Springer, Berlin, Heidelberg, 1993, pp. 343‒367.
19. Bakhtavar, E., Hosseini, S., Hewage, K., and Sadiq, R., Green Blasting Policy: Simultaneous Forecast of Vertical and Horizontal Distribution of Dust Emissions Using Artificial Causality-Weighted Neural Network, J. Clean. Prod., 2021, vol. 283. 124562.
20. Huang, Z., Ge, S., Jing, D., and Yang, L., Numerical Simulation of Blasting Dust Pollution in Open-Pit Mines, Appl. Ecol. Environ. Res., 2019, vol. 17, no. 5, pp. 10313‒10333.
21. Zatevakhin, M.A., Kuznetsov, A.E., Nikulin, D.A., and Strelets, M.Kh., Numerical Modeling of Floating Up of High-Temperature Turbulent Thermal Mass Flows in Nonuniform Compressible Atmosphere, TVT, 1994, vol. 32, no. 1, pp. 44‒56.
22. Mason, P.J. and Brown, A.R., On Subgrid Models and Filter Operations in Large Eddy Simulations, J. Atmospheric Sci., 1999, vol. 56, pp. 2101‒2114.
23. Landau, L.D. and Lifschitz, E.M., Gidrodinamika (Fluid Mechanics), Moscow: Nauka, 1986.
24. Gualtieri, C., Angeloudis, A., Bombardelli, F., Jha, S., and Stoesser, T., On the Values for the Turbulent Schmidt Number in Environmental Flows, Fluids, 2017, vol. 2, pp. 1–27.
25. GN 2.1.6.3492-17, Moscow: FCGiE Rospotrebnadzora, 2019.


TWO CONCEPTS OF CONTINUUM DEFORMATION KINEMATICS: DISPLACEMENT FIELD OF POINTS AND DISPLACEMENT FIELDS OF MATERIAL PLANES
A. F. Revuzhenko

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
e-mail: lvk64@misd.ru

The author discusses the deformation kinematics method using the concept of displacement of material planes in a medium. Displacements of planes can be described by two vector fields of displacement or, by way of alternative, by one tensor field which is a field of relative displacement of planes. This is an asymmetric tensor, and its components are uncorrelated by Saint-Venant’s compatibility conditions. This approach recovers an “equality” between the kinematic-based and force-based descriptions of deformation in a medium. The adopted notion of stresses relates to the forces that affect planes inside a body, and the notion of deformation relates to the change of distances between pairs of points. The article gives a case-study of modeling an initially isotropic geomedium using this approach.

Stress, deformation, kinematics, plane, constitutive equations, geomedium

DOI: 10.1134/S1062739124040033

REFERENCES
1. Love, A.E.H., A Treatise on the Mathematical Theory of Elasticity, 4th edition, Cambridge University Press, 2013.
2. Revuzhenko, A.F. and Mikenina, O.A., Elastoplastic Model of Rocks with a Linear Structural Parameter, J. Applied Mechanics and Technical Physics, 2018, vol. 59, no. 2, pp. 332–340.
3. Revuzhenko, A.F. and Mikenina, O.A., Elastoplastic Model of Rock with Internal Self-Balancing Stresses, Journal of Mining Science, 2018, vol. 54, no. 3, pp. 368–378.
4. Revuzhenko, A.F. and Mikenina, O.A., Elastoplastic Model of Rocks with Internal Self-Balancing Stresses. Continuum Approximation, Journal of Mining Science, 2020, vol. 56, no. 2, pp. 159–166.
5. Pavlov, I.S., Elastic Waves in Two-Dimensional Grain Medium, Probl. Prochn. Plastichn., 2005, issue 67, pp. 119–131.
6. Pavlov, I.S. and Potapov, A.I., Two-Dimensional Model of Grain Medium, Izv. RAN. Mekh. Tverd. Tela, 2007, no. 2, pp. 110–121.
7. Povstenko, Yu., Fractional Nonlocal Elasticity and Solutions for Straight and Edge Dislocations, Phys. Mesomechanics, 2020, no. 2, pp. 35–44.
8. Makarov, P.V., Bakeev, R.A., and Smolin, I.Yu., Modeling of Localized Inelastic Deformation at the Mesoscale with Account for the Local Lattice Curvature in the Framework of the Asymmetric Cosserat Theory, Phys. Mesomechanics, 2019, vol. 22, no. 5, pp. 392–401.
9. Rys, M. and Petryk, H., Gradient Crystal Plasticity Models with a Natural Length Scale in the Hardening Law, Int. J. Plast., 2018, vol. 111, pp. 168–187.
10. Pouriayevali, H. and Xu, B.-X., Decomposition of Dislocation Densities at Grain Boundary in a Finite Deformation Gradient Crystal–Plasticity Framework, Int. J. Plast., 2017, vol. 96, pp. 36–55.
11. Erofeev, V.I. and Pavlov, I.S., Parametric Identification of Crystals Having a Cubic Lattice with Negative Poisson’s Ratios, J. Applied Mechanics and Technical Physics, 2015, vol. 56, no. 6, pp. 1015–1022.
12. Zenkour, A.M. and Radwan, A.F., A Nonlocal Strain Gradient Theory for Porous Functionally Graded Curved Nanobeams under Different Boundary Conditions, Physical Mesomechanics, 2020, vol. 23, no. 6, pp. 611–616.
13. Chih-Ping Wu and Jung-Jen Yu, A Review of Mechanical Analyses of Rectangular Nanobeans and Single-, Double- and Multi-Walled Carbon Nanotubes Using Eringen’s Nonlocal Elasticity Theory, J. Arch. Appl. Mech., 2019, vol. 89, pp. 1761–1792.
14. Sedighi, H.M. and Yaghootian, A., Dynamic Instability of Vibrating Carbon Nanotubes near Small Layers of Graphite Sheets Based on Nonlocal Continuum Elasticity, J. Applied Mechanics and Technical Physics, 2016, vol. 57, no. 1, pp. 90–100.
15. Pavlov, I.S. and Lazarev, V.A., Nonlinear Elastic Waves in 2D Nanocrystalline Medium, Vestn. Nauch.–Tekhnol. Razv. Nats. Tekhnol. Gruppa, 2008, no. 4 (8), pp. 45–53.
16. Loboda, O.S. and Kravtsov, A.M., Influence of Size Factor on Elasticity Model of Three-Dimensional Nanaocrystal, Izv. RAN. Mekh. Tvedr. Tela, 2005, no. 4, pp. 27–41.
17. Revuzhenko, A.F., Three-Dimensional Model of a Structured Linearly Elastic Body, Physical Mesomechanics, 2022, vol. 25, no. 1, pp. 33–41.
18. Trusov, P.V., Some Questions of Nonlinear Deformable Solid Mechanics: Discussion, Matem. Modelir. Sistem Protsessov, 2009, no. 12, pp. 85–95.
19. Sokolovsky, V.V., Statika sypuchei sredy (Statics of Granular Medium), Moscow: Nauka, 1990.
20. Smolin, I.Yu., Use of Micropolar Models in Description of Plastic Deformation at Meso-Scale, Matem. Modelir. Sistem Protsessov, 2006, no. 14, pp. 189–205.
21. Erofeev, V.I., Volnovye protsessy v tverdykh telak s mikrostrukturoi (Wave Processes in Solids with Microstructure), Moscow: MGU, 1999.


SEISMIC HAZARD ASSESSMENT IN ROCK MASS DURING COMPLEX DEPOSIT MINING IN DIFFICULT HYDROGEOLOGICAL CONDITIONS
A. A. Eremenko*, V. P. Marysyuk**, A. I. Konurin, T. P. Darbinyan, and I. V. Samosenko

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
*e-mail: EremenkoA1949@ yandex.ru
NorNickel’s Polar Division, Norilsk, 663302 Russia
**e-mail: MarysyukVP@nornik.ru

Experimental research determined the concentration zones of seismic events and their sources in operating Taimyr Mine. The features of formation and spreading of these zones are assessed. The influence of mined-out void volume on total energy of seismic events before and after flooding and dewatering of mines is analyzed, which allows predicting the level of seismic hazard during further mining.

Rock, seismic events, concentration zones, extraction panels, ore body, mining system, mineral deposit, energy

DOI: 10.1134/S1062739124040045

REFERENCES
1. Urvantsev, N.N., Otkrytie Noril’ska (Discovery of Norilsk), Moscow: Nedra, 1981.
2. Gorbachev, S.A., Darbinyan, T.P., and Balandin, V.A., Oktyabrsky Mine: Initiation and growth, Gornyi Zhurnal, 2015, no. 6, pp. 15–18.
3. Eremenko, A.A., Konurin, A.I., Filippov, V.N., and Darbinyan, T.P., Mining Safety at Ropckburst-Hazardous Deposits in Western Siberian and in the Far North, Scientific Framework of Mining Safety: All-Russian Conference Proceedings, Moscow: IPKON RAN, 2018, pp. 25–31.
4. Eremenko, A.A., Darbinyan, T.P., Aynbinder, I.I., and Konurin, A.I., Identification of Higher Rock Pressure Zones in Rockburst-Hazardous Iron Ore Deposits, Gornyi Zhurnal, 2020, no. 1, pp. 82–86.
5. Rasskazov, I.Yu., Cheban, A.Yu., Litvinova, N.M., Konareva, T.G., and Andryushchenko, A.S., Improvement of Mining and Processing Flowsheets at Structurally Complex Ore Deposits, Journal of Mining Science, 2023, vol. 59, no. 2, pp. 233–241.
6. Zvezdkin, V.A., Zuev, B.Yu., Klimkina, V.M., et al., Stress–Strain Assessment of Floor Rocks in Parting Roc Masses in Deep Mines at Talnakh, Zap. Gorn. Inst., 2010, vol. 185, pp. 81–84.
7. Sergunin, M.P., Darbinyan, T.P., Kostenko, I.A., and Kuz’min, S.V., Geophysical Surveying Uisng Seismic Method at the Talnakh and Oktyabrsky Deposit, Gorn. Zh., 2021, no. 2, pp. 11–15.
8. Kozyrev, A.A., Savchenko, S.N., Panin, V.I., Semenova, I.E., Rubin, V.V., Fedotova, Yu.V., and Kozyrev, S.A., Geomekhanicheskie protsessy v geologicheskoi srede gornotekhnicheskikh sistem i upravlenie geodinamicheskimi riskami (Geomechanical Processes in Geological Environment of Geotechnical Systems and Geodynamic Risk Control), Apatity: KNTS RAN, 2019.
9. Semenova, I.E., Zhukova, S.A., and Zhuravleva, O.G., Development of Seismic Activity Zones in Undermined Rock Mass in Hybrid Opencast/Underground Mining in Kirovsk Mine, Journal of Mining Science, 2022, vol. 58, no. 6, pp. 966–972.
10. Besedina, A.N., Gridin, G.A., Kocharyan, G.G., Morozova, K.G., and Pavlov, D.V., Activation of Seismo-Acoustic Events after Large-Scale Blasting at an Iron Ore Body of the Kursk Magnetic Anomaly, Journal of Mining Science, 2024, vol. 50, no. 1, pp. 1–11.
11. Tereshkin, A.A., Rasskazov, I.Yu., Anikin, P.A., Migunov, D.S., and Rasskazov, M.I., Improvement of Hardware and Software Facilities for the Express-Assessment of Rockburst Hazard, Digital Technologies in Mining: All-Russian Conference Proceedings. Headnotes of Papers, Apatity, 2023, pp. 64–66.


THE PARAMETER SENSITIVITY ANALYSIS OF FORCE CHAIN EVOLUTION IN THE FLOW OF LOOSE ORE ROCK UNDER AN ISOLATION LAYER
Qingfa Chen*, Jun Liu, and Enlin Long

School of Resources, Environment and Materials, Guangxi University, Nanning, 530004 China
*e-mail: chenqf@gxu.edu.cn
School of Civil Engineering and Architecture, Guangxi University, Nanning, 530004 China

The ore drawing procedure of the synchronous filling shrinkage mining method is simulated using PFC software. Isolation layer thickness A, isolation layer interface friction factor B, ore particle friction factor C, particle radius D and wall friction factor E are chosen as the five influencing factors of the orthogonal test, along with the characteristics of the orthogonal test and force chain parameters. The findings demonstrate that the primary and secondary order of each factor impact on the orthogonal test index is D > C > A > E > B. The best test configuration was A1B2C3D3E3, with the relevant factors being thickness 0.003 m, isolation layer interface friction factor 0.5, particle friction factor 0.8, particle radius 0.008 m and wall friction factor 0.8.

Granular medium, force chain characterization, orthogonal test, matrix analysis, parameter sensitivity

DOI: 10.1134/S1062739124040057

REFERENCES
1. Chen, Q.F. and Wu, Z.X., Mass Draw and Synchronous Filling No-Top-Pillar Shrinkage Stoping Method,CN101864957A, 2010.
2. Wang, G.Q. and Sun, Q.C., Granular Matter and the Scaling Laws, Eng. Mech., 2009, vol. 26, no. S2, pp. 1−7.
3. Zhang, W., Zhou, J., Zhang, X.J., and Liu, K., Quantitative Investigation into the Relation between Force Chains and Stress Transmission during High-Velocity Compaction of Powder, J. Korean Phys. Soc., 2019, vol. 74, no. 7, pp. 660–673.
4. Zhang, W., Zhou, J., Zhang, X.J., Zhang, Y., and Liu, K., Quantitative Investigation on Force Chain Lengths during High Velocity Compaction of Ferrous Powder, Mod. Phys. Lett. B, 2019, vol. 33, no. 10, article ID 1950113.
5. Narumi, T., See, H., Suzuki, A., and Hasegawa, T., Response of Concentrated Suspensions under Large Amplitude Oscillatory Shear Flow, J. Rheol., 2005, vol. 49, no. 1, pp. 71–85.
6. Chen, F.X., Zhuang, Q., Wang, R.L., and Guo, P.F., Damage Point Prediction of a Force Chain Based on the Digital Image Correlation Method, Appl. Optics, 2017, vol. 56, no. 3, p. 636.
7. Okubo, F. and Katsuragi, H., Force Chain Structure in a Rod-Withdrawn Granular Layer, Mod. Phys. Lett. B, 2021, vol. 35, no. 16, article ID2150206.
8. Fu, L.L., Zhou, S.H., Guo, P.J., Wang, S., and Luo, Z., Induced Force Chain Anisotropy of Cohesionless Granular Materials during Biaxial Compression, Granul. Matter, 2019, vol. 21, no. 3, p. 52.
9. Bobryakov, A.P., Kosykh, V.P., and Revuzhenko, A.F., Weak Waves under Periodic Load Applied to a Packing of Glass Balls., Journal of Mining Science, 2016, vol. 52, no. 5, pp. 866–872.
10. Laptev, V.V. and Lukichev, S.V., DEM-Based Analysis of Ore Losses in Sublevel Stoping, Journal of Mining Science, 2023, vol. 59, no. 4, pp. 572–578.
11. Kosykh, V.P. and Mikenina, O.A., Clustering in Granular Medium in Biaxial Compression, Journal of Mining Science, 2022, vol. 58, no. 4, pp. 534–540.
12. Tordesillas, A., Force Chain Buckling, Unjamming Transitions and Shear Banding in Dense Granular Assemblies, Philos. Mag., 2007, vol. 87, no. 32, pp. 4987–5016.
13. Xie, G.X., Yuan, A.Y., and Wang, L., Study on Deflection of Surrounding Rock Force Chain and Disaster Mechanism of Instability in Deep Stope, Shock Vib., 2020, vol. 2020, article ID 88883897.
14. Liu, G.Q., Pan, Y.Y., Zhao, Y.L., Zhou, J., Li, J., and Han, D.D., Research on Asphalt Mixture Force Chain Identification Criteria Based on Computational Granular Mechanics, Can. J. Civil. Eng., 2020, vol. 48, no. 7, pp. 763–775.
15. Fakhimi, A., Carvalho, F., Ishida, T., and Labuz, J., Simulation of Failure around a Circular Opening in Rock, Int. J. Rock Mech. Min., 2002, vol. 39, pp. 507–515.
16. Kazuyoshi, I. and Masanobu, O., Rolling Resistance at Contacts in Simulation of Shear Band Development by DEM, J. Eng. Mech., 1998, vol. 124, no. 3, pp. 285–292.
17. Itasca Consulting Group, PFC2D (Particle Flow Code in 2Dimensions) (version 3.1) User’s Manual, Minneapolis, USA: [s.n.], 2004.
18. Liu, H., Ren, F.Y., He, R.X., and Li, G.H., Calibration Methods of the PFC Microscopic Parameters for Simulating the Loose Ore Rock, Met. Min., 2018, vol. 2018, no. 1, pp. 37–41.
19. Wang, W., Gu, W., and Liu, K., Force Chain Evolution and Force Characteristics of Shearing Granular Media in Taylor-Couette Geometry by DEM, Tribol. T., 2014, vol. 58, no.2, pp. 197–206.
20. Yang, Y. and Cheng, Y.M., A Fractal Model of Contact Force Distribution and the Unified Coordination Distribution for Crushable Granular Materials under Confined Compression, Powder Technol., 2015, vol. 279, pp. 1–9.
21. Zhang, W., Zhou, J., Yu, S.W., Zhang, X.J., and Liu, K., Quantitative Investigation on Force Chains of Metal Powder in High Velocity Compaction by Using Discrete Element Method, J. Mech. Eng., 2018, vol. 54, no. 10, pp. 85–92.
22. Wei, X.L., Li, X.R., Wang, J.H., and Chen, Z.W., Application of Matrix Analysis in Multiple Index Orthogonal Test Design, Adv. Mater. Res., 2012, vol. 516–517, pp. 558–562.


ROCK FRACTURE


RATIONAL MODES OF INERTIAL IMPACT FRACTURE OF ROCKS
E. G. Kulikova*, S. Ya. Levenson, and A. V. Morozov**

Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia
*e-mail: e.kulikova@corp.nstu.ru
**e-mail: shevchyk@ngs.ru
Novosibirsk State Technical University, Novosibirsk, 630087 Russia

The article describes inertial impact fracture of geomaterials using a rotary hammer. The capabilities of the tool in underground large-hole drilling are discussed. The authors present the procedure and results of the lab-scale testing of influence exerted by different combinations of rotational and linear path velocities of the rotary hammer on the strength of current taken by working tools and on the shock vibration velocity of supporting members of the rotary hammer. The rational ranges of these velocities, such as the process of fracture runs at the least energy input and minimum impact on the working tools, are determined.

Inertial impact, rotary hammer, rotation speed, hammer feed, electric current consumption, vibration velocity, supporting members

DOI: 10.1134/S1062739124040069

REFERENCES
1. Gerike, P.B., Rock Fracture by Disc Tool of Surface Miners, Theses of Cand. Tech. Sci. Dissertation, Kemerovo, 2005.
2. Eler, A., Kuntse, G., Shrader, F., Petak, B, and Pottenberg, K., RF patent no. RU2278266C2, Byull. Izobret., 2006, no. 17.
3. Cheban, A.Yu., Shemyakin, S.A., and Khrunina, N.P., RF patent no. RU2539479C1, Byull. Izobret., 2015, no. 2.
4. Pikhler, M., Zhuravlev, A.A., Pankevich, Yu.B., and Pankevich, M.Yu., Pilot Test Data on Thin-Layer Cuting of Pyatovskoe Limestone by Surface Miner Wirtgen 2200SM, Gorn. Prom., 2009, no. 1(83), pp. 16–20.
5. Fedorko, N.P., Fedorko, P.V., and Tal’gamer, B.L., Rational Use of Surface Miner Wirtgen 2200SM in Cutting Structurally Complex Coal Seams, GIAB, 2015, no. S1-2, pp. 52–57.
6. Ivanov, V.V., Mining Technology for Structurally Complex Bedded Deposits of Semi-Hard Rocks, Aprobatsiya, 2013, no. 3(6), pp. 50–51.
7. Cheban, A.Yu., Preparation Method and Equipment for Seasonally Frozen Rocks, Vestn. MGTU Nosova, 2019, vol. 17, no. 2, pp. 11–16.
8. Shvabenland, E.E., Sokolovsky, A.V., and Pikhler, M., Selection of Parameters for Batch-Slicing Technology for Mining Structurally Complex Deposits by Surface Miners, Vestn. MGTU Nosova, 2016, vol. 14, no. 1, pp. 5–12.
9. Cheban, A.Yu., Cutting Technology and Equipment for Steeply Dipping Ore Bodies, Izv. SO RAEN., Geolog., Razv. Razrab. Mestorozhd. Polezn. Iskop., 2018, vol. 41, no. 4 (65), pp. 89–96.
10. Yakubovsky, M.M., Mikhailova, E.A., and Bazhukov, A.A., Reasons of Efficiency of Surface Miners in Selective Coal Cutting under Low Temperatures, Mining Informational and Analytical Bulletin—MIAB, 2021, no. 10, pp. 42–57.
11. Fomin, S.I. and Lelen, A., Justification of Extraction Block Parameters in Cement Quarrying by Surface Miners, Rats. Osv. Nedr, 2022, no. 3(65), pp. 20–25.
12. Kumar, Ch., Murthy, V.M.S.R., Kumaraswamidhas, L.A., and Prakash, A., Design Methodology for Cutting Drum, Power Rating and Operational Control of Surface Miner under Varied Rock Conditions—An Approach, Journal of Mining Science, 2018, vol. 54, no. 4, pp. 582–590.
13. Cheban, A.Yu., Improvement of Open Pit Mining Technology with Surface Miners, Flagman Nauki, 2023, no. 10, pp. 189–191.
14. Hermann-Josef Volk, Wirtgen Drives the Development of Surface Mining, Proc. Eng., 2016, vol. 138, pp. 30–39.
15. Amar Prakash, Vemavarapu Mallika Sita Ramachandra Murthy, and Kalendra Bahadur Singh, A New Rock Cuttability Index for Predicting Key Performance Indicators of Surface Miners, Int. J. Rock Mech. Min. Sci., 2015, vol. 77, pp. 339–347.
16. Alessandro Medolago and Stefano Melzi, A Flexible Multi-Body Model of a Surface Miner for Analyzing the Interaction between Rock-Cutting Forces and Chassis Vibrations, Int. J. Min. Sci. Technol., 2021, vol. 31, issue 3, pp. 365–375.
17. Kuma,r C., Kumaraswamidhas, L.A., Murthy, V.M.S.R., and Prakash, A., Experimental Investigations on Thermal Behavior During Pick–Rock Interaction and Optimization of Operating Parameters of Surface Miner, Int. J. Rock Mech. Min. Sci., 2020, vol. 133.
18. Stephan Oppelaar and Jim Hutchins, Recent Advances in Precision Surface Mining Techniques, Proc. Eng., 2014, vol. 83, pp. 76–85.
19. Levenso, S.Ya., Goldobin, V.A., Lantsevich, M.A., Gendlina, L.I., Usol’tsev, V.M., Morozov, A.V., and Akishev, A.N., RF patent no. RU2618806C1, Byull. Izobret., 2016, no. 14.
20. Lantesvich, M.A., Levenson, S.Ya., and Fokin, A.B., RF patent no. RU2762658C1, Byull. Izobret., 2021, no. 36.
21. Lantesvich, M.A., Levenson, S.Ya., and Fokin, A.B., RF patent no. RU2756889C1, Byull. Izobert., 2021, no. 28.
22. Levenson, S.Ya., Lantsevich, M.A., Gendlina, L.I., and Akishev, A.N., New Technology and Equipment for Non-Explosive Formation of Free Face in Deep Open Pit Mines, Journal of Mining Science, 2016, vol. 52, no. 5, pp. 943–948.
23. Kulikova, E.G. and Morozov, A.V., Trail Results of Inertial Impact Fracture of Rocks, Naukoemk. Tekhn. Razrab. Ispol’z. Min. Resurs., 2022, no. 8, pp. 142–147.
24. Kulikova, E.G., Levenson, S.Ya., and Morozov, A.V., Shape of Hammers of Hammer Rotors for Inertial Impact Fracture, Journal of Mining Science, 2023, vol. 59, no. 3, pp. 433–442.


INFLUENCE OF CUTTING PROCESS AND CUTTING TOOL PARAMETERS ON LOADS IN CUTTING HARD INCLUSIONS IN COAL
V. Yu. Linnik* and Yu. V. Linnik

State University of Management,
Moscow, 109542 Russia
*e-mail: vy_linnik@guu.ru

The experimental research assessed the influence exerted by the parameters of cutting process and cutting tool on the loads in cutting hard inclusions in rocks. It is found that in central cutting of hard inclusions, the maximal loads on a cutting pick depend on the width and depth of a cut, and on the cutting pattern, and are independent of the cutting velocity. The increase in the width of the cutting point of a cutting pick contributes to an increase in the peak and average-peak forces of cutting and feed, while the lateral loads in cutting hard inclusions by cutting picks with a flat face depend only on the depth of cut. The peak feed forces essentially depend on the shape of the cutting point of a cutting pick, and the cutting force depend on the angle of cutting. The decrease in the wedge angle of the face of a cutting pick reduces the peak forces of cutting and feed, while the lateral loads increase.

Cutting, hard inclusions, peak cutting forces, depth and width of cut, cutting pattern and velocity, shapes of cutting point and pick face, cutting angle

DOI: 10.1134/S1062739124040070

REFERENCES
1. Linnik, Yu.N., Linnik, V.Yu., Voronova, E.Yu., Evstratov, V.A., and Tsikh, A., Analysis of Fault Structure in Shearer Drums, Ugol’, 2021, no. 4 (1141), pp. 20–24.
2. Khoreshok, A.A., Mamet’ev, L.E., Tsekhin, A.M., and Borisova, A.Yu., Current Issues of Using Disc Cutting Tools on Selective Shearer Drums, Tekhnika Tekhnologiya Gornogo Dela, 2021, no. 4 (15), pp. 40–63.
3. Myshkovsky, M. and Pashedag, U., Razrabotka dlinnymi ochistnymi zaboyami ugol’nykh plastov srednei moshchnosti. Sravnenie effektivnosti strugovoi i kombainovoi vyemki (Longwall Mining of Medium-Thick Coal Seams. Comparison of Efficiency of Ploughing and Shearing), Caterpillar, 2015.
4. Linnik, V.Yu., Linnik, Yu.N., Zhabin, A.B., Polyakov, A.V., and Averin, E.A., Rating of Wear of Coal Mining Machine Picks Depending on Operating Conditions, Ugol’, 2019, no. 12, pp. 26–30.
5. Krauze, K., Mucha, K., Wydro, T., and Pieczora, E., Functional and Operational Requirements to be Fulfilled by Conical Picks Regarding Their Wear Rate and Investment Costs, Energies, 2021, vol. 14, no. 12, pp. 36–96.
6. Linnik, Yu.N. and Linnik, V.Yu., Fracture of Solid Inclusions by Picks, Journal of Mining Science, 2024, vol. 60, no. 3, pp. 407–415.
7. Gabov, V.V., Zadkov, D.A., Nguyen Van Xuan, Hamitov, M. S., and Molchanov, V.V., To the Problem of Improvement of Working Tools of Mining Excavation Machines, GIAB, 2022, no. 6-2, pp. 205–222.
8. Babokin, G.I., Shprekher, D.M., and Kolesnikov, E.B., Control of Cutting Tools of Mining Machines, Izv. Vuzov. Gorn. Zh., 2018, no. 1, pp. 107–113.
9. Linnik, Yu.N., Zhabin, A.B. and Tsikh, A., Patterns of Influence Exerted by Cutting Drum Reliability and Coal Seam Properties on Cutter–Loader Capacity, Mining Informational and Analytical Bulletin–MIAB, 2021, no. 11, pp. 169–180.
10. Shishlyannikov, D.I., Ivanov, S.L., Zvonarev, I.E., Zverev, V.Yu., Improving Efficiency of Shearing and Hauling Machines in Longwall Potash Mining, Mining Informational and Analytical Bulletin–MIAB, 2020, no. 9, pp. 116–124.
11. Cheluszka, P., Mikuła, S., and Mikuła, J., Conical Picks of Mining Machines with Increased Utility Properties—Selected Construction and Technological Aspects, Acta Montanistica Slovaca, 2021, vol. 26, no. 2, pp. 195–204.
12. USSR Sectorial Standard OST 24.070.17-70, Moscow: 1970.
13. Pavlova, N.N. and Shreiner, L.A., Razrushenie gornykh porod pri dinamichskom nagruzhenii (Rock Failure under Dynamic Loading), Moscow: Nedra, 1964.
14. Vasil’ev, L.M. and Mladetsky, V.R., Influence of Deformation Rate on Rock Fracture in Cutting, Mekh. Razrush. Gorn. Porod, 1975, issue 3, pp. 36–43.
15. Cancan, L., Zheng, X., Wang, G., Xu, M., and Li, Z., Research on Drilling Response Characteristics of Two-Wing PDC Bit, Cancan, Xuzhou, China University of Mining & Technology, 2020, vol. 406.
16. Li, H.S., Liu, S.Y., and Xu, P.P. Numerical Simulation on Interaction Stress Analysis of Rock with Conical Picks, Tunnel. Underground Space Technol., 2019, vol. 85, pp. 231–242.
17. Wang, X. and Su, O., Specific Energy Analysis of Rock Cutting Based on Fracture Mechanics: A Case Study Using a Conical Pick on Sandstone, Eng. Fracture Mechan., 2019, vol. 213, pp. 197–205.
18. Beron, A.I., Kazansky, A.S., Leibov, B.M., and Pozin, E.Z., Rezanie uglya (Coal Cutting) Moscow: Gosgortekhizdat, 1962.
19. Baron, L.I., Glatman, L.B., and Gubenkov, E.K., Razrushenie gornykh porod prokhodcheskimi kombainami (Rock Fracture by Shearers), Moscow: Nedra, 1968.
20. Turdiev, S.A., Dynamic Impact Generated by Cutting–Shearing Action Picks, Nats. Assots. Uchenykh. Probl. Tekh. Nauk, 2020, issue 59 (4), pp. 24–27.
21. Borisov, K.I., Modern Assessment Methods of Rock Fracture Efficiency by Cutting–Shearing by PDC Picks, Izv. TPU. Inzhiniring Georesursov, 2022, vol. 333, no. 6, pp. 103–121.
22. Averin, E.A., Zhabin, A.B., Polyakov, A.V., Linnik, Yu.N., and Linnik, V.Yu., Transition between Relieved and Unrelieved Modes when Cutting Rocks with Conical Picks, J. Min. Inst., 2021, vol. 249, pp. 329–333.
23. Pozin, E.Z., Ton, V.V., and Golovashkin, Yu.V., Comparative Assessment of Picks with Differently Shaped Cutting Points, Sozdanie novoi tekhniki i sredstv avtomatizatsii dlya ugol’noi promyshlennosti (New Equipment and Automation Facilities for Coal Industry), Skochinsky Institute Transactions, 1973, issue 114, pp. 23–34.
24. Albul, I.N., Analysis of Maximal Loads on Shearer Drum Picks, Goryuch. Slantsy, 1976, no. 8, pp. 11–13.


MINERAL MINING TECHNOLOGY


OPTIMIZATION ANALYSIS OF KEY PARAMETERS OF GAS DRAINAGE DRILLING IN COAL SEAMS BASED ON SCREW DRILLS
Cheng Renhui*, Zhang Chao, Zeng Xiangzhen, Duan Chenye, and Chen Zhiheng

College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi, 710054 China
*e-mail: crhalzj@126.com
Key Laboratory of Western Mine Exploitation and Hazard Prevention of the Ministry of Education,
Xi’an University of Science and Technology, Xi’an, Shaanxi, 710054 China

To increase the efficiency of gas extraction drilling in coal seams, screw drilling tools used in petroleum-related operations were introduced instead of common bottom-hole combination drilling tools. According to the Box–Behnken experimental design principle, the significance of three main construction factors on the drilling efficiency is: the flow rate > pump pressure > feed force. The optimized drilling parameters were used to conduct a field test in Wangzhuang coal mine of Shanxi Lu’an Group. The results showed that the drilling efficiency of screw drilling increased by 39.08% and the drilling slag discharge increased by 48.28% compared with the conventional rotary drilling technique, which significantly improved the construction efficiency of coal seam drilling and is expected to reduce the gas treatment cycle and cost of coal seams to a significant extent.

Screw drilling tools, cutting transport, borehole drilling, drilling time

DOI: 10.1134/S1062739124040082

REFERENCES
1. Zhang, X. and Zou, J., Research on Collaborative Control Technology of Coal Spontaneous Combustion and Gas Coupling Disaster in Goaf Based on Dynamic Isolation, Fuel, 2022, vol. 321. 124123.
2. Liang, Y., Scientific Conception of Precision Coal Mining, J. China Coal Soc., 2017, vol. 42, no. 1, pp. 1–7.
3. Yuan, L. and Zhang, P., Development Status and Prospect of Geological Guarantee Technology for Precise Coal Mining, J. China Coal Society, 2019, vol. 44, pp. 2277–2284.
4. Shi, Y., Lin, B., Liu, T., and Hao, Z., Synergistic ECBM Extraction Technology and Engineering Application Based on Hydraulic Flushing Combing Gas Injection Displacement in Low Permeability Coal Seams, Fuel, 2022, vol. 318, p. 123688.
5. Zhang, C., Cheng, R.H., Liu, C., Xue, J.H., Liu, H., Jin, G.H., Chang, J., Yan, J., Zeng, X.Z., and Wang, X.L., Experimental Study on Strengthening and Sealing Materials and their Application in Coal Mines, Adv. Mater. Sci. Eng., 2020, pp. 1–13.
6. Zhang, C., Liu, H., Li, S., Liu, C., Qin, L., Chang, J., and Cheng, R., Experimental Study on the Expansion of a New Cement-Based Borehole Sealing Material Using Different Additives and Varied Water–Cement Ratios, Arabian J. Sci. Eng., 2019, vol. 44, pp. 8717–8725.
7. Li, S., Li, Q., Wang, H., Yuan, L., Zhang, Y., Xue, J., Zhang, B., and Wang, J., A Large-Scale Three-Dimensional Coal and Gas Outburst Quantitative Physical Modeling System, Meitan Xuebao/J. China Coal Soc., 2018, vol. 43, pp. 121–129.
8. Dou, L., He, X., Ren, T., He, J., and Wang, Z., Mechanism of Coal–Gas Dynamic Disasters Caused by the Superposition of Static and Dynamic Loads and its Control Technology, Zhongguo Kuangye Daxue Xueba, J. China University Min. Technol., 2018, vol. 47, pp. 48–59.
9. Xie, H., Ni, G., Li, S., Sun, Q., Dong, K., Xie, J., Wang, G., and Liu, Y., The Influence of Surfactant on Pore Fractal Characteristics of Composite Acidized Coal, Fuel, 2019, vol. 253, pp. 741–753.
10. Li, D., Hydraulic Drill Hole Reaming Technology with Large Flow and Draining of Coal Mine Gas, Int. J. Min. Sci. Technol., 2019, vol. 29, pp. 925–932.
11. Zhai, C., Xu, J., Xiang, X., and Zhong, C., Flexible Gel (FG) for Gas-Drainage Drilling Sealing Material Based on Orthogonal Design, J. Min. Sci. Technol., 2015, vol. 25, no. 6, pp. 1031–1036.
12. Shu-Gang, L.I., Bao, R.Y., Zhang, T.J., et al., Determining the Rational Sealing Depth for Horizontal Gas Drainage Borehole, J. Xi'an University Sci. Technol., 2019.
13. Si, L., Li, Z., Kizil, M., Chen, Z., Yang, Y., and Ji, S., The Influence of Closed Pores on the Gas Transport and its Application in Coal Mine Gas Extraction, Fuel, 2019, vol. 254, pp. 115601–115605.
14. Linghu, J., Li, M., and Yue, G., Numerical Simulation of Integrated Mechanics of Drilling and Mechanical Cavitation in Coal Seam, ACS Omega, 2022, vol. 7(3), pp. 2975–2988.
15. Shi, M., Jiang, W., Hao, D., et al., Multiphase Coupling Deslagging Mechanism and Application of Pneumatic Floor Drilling Machine, Safety in Coal Mines, 2019.
16. Zhichao, Z., Application of Geophysical Prospecting Technology in Geological Prospecting and Resource Exploration, Foreign Language Sci. Technol. J. Database (Digest Edition) Natural Sciences, 2021, vol. 4, p. 3.
17. Xu, Z., Discussion on Deviation Correction Technology of Long Borehole in Gas Drainage, IOP Conf. Series Earth Env. Sci., 2021, vol. 651, no. 3. 32079.
18. Shi, C. and Wang, Y., Data-Driven Construction of Three-Dimensional Subsurface Geological Models from Limited Site-Specific Boreholes and Prior Geological Knowledge for Underground Digital Twin, Tunnelling Underground Space Technol., 2022, vol. 126. 104493.
19. Wu, X., Zhao, Y., Yu, Y., Zhang, B., Jia, L., and Du, X., Study on Distribution Law of Stress and Permeability around Hydraulic Fracturing Borehole in Coal and Rock, Energies, 2022, vol. 15, pp. 4210–4210.
20. Tian, H., Zhao, J., Wang, C., et al., Development of Spiral PDC Ream Bits for Long Borehole at High Position of Roof, Coal Sci. Technol., 2019.
21. Hao, S., Peng, X., and Xian, I., Research on Direction Drilling in Accurate Connecting Roadway Technology with Long-Distance and Large-Elevation in Underground Mine, Coal Sci. Technol., 2019.
22. Fang, J., Liu, F., Quanxin, L.I., et al., Air Compound Directional Drilling Technology and Equipment for Soft-Fragmentized Seam Underground Coal Mine, Coal Sci. and Technol., 2019.
23. Wang, X., Chao, X.U., Quanxin, L.I., et al., Study on High-Level Directional Borehole Technology in Complex Roof Stratum of Huainan Mining Area, Coal Sci. Technol., 2018.
24. Dou, X., Jin, X., Tong, B., et al., Comparative Experimental Study on Drilling Methods of Hard Rock Borehole Passed through Strata in Huainan Mining Area, Coal Sci. and Technol., 2018, vol. 46(11), pp. 151–156.
25. Gao, X., Wang, C., and Tian, H., Individualized Design and Test of PDC Drill Bit Used for Directional Well of Coal-Bed Methane Development in Zhongshan Block, China Coal, 2018.
26. Dong, M., Development and Application of ø73 mm High Toughness and High Strength Drilling Pipe, Coal Geol. Explor., 2017, vol. 45, no. 2, pp. 152–156.
27. Dong, C., Tian, D., Zhao, J., et al., Application and Development on Dill Rod Matched for Large Diameter and Directional Long Borehole in Underground Coal Mine, Coal Sci. Technol., 2018.
28. Salubi, V., Mahon, R., Oluyemi, G., et al., Effect of Two-Phase Gas-Liquid Flow Patterns on Cuttings Transport Efficiency, J. Petroleum Sci. Eng., 2021, p. 109281.
29. Wang, H., Huang, H., Bi, W. Ji, G., Zhou, Bo, and Zhuo, L., Deep and Ultra-Deep Oil and Gas Well Drilling Technologies, Prog. Prospect, Natural Gas Industry B, 2022, vol. 9(2), pp. 141–157.
30. Zhong, L.I., Progress and Prospects of Digitization and Intelligentization of CNOOC’s Oil and Gas Well Engineering, Petroleum Drilling Techniques, 2022, vol. 50, no. 2, pp. 1–8.
31. Jin, J., Drilling Fluid Technology for Igneous Rocks in Ultra-Deep Wells in the Shunbei Area, Tarim Basin, Petroleum Drilling Techniques, 2016.
32. Fang, P., Yao, K., Wang, S., et al., Development of Drilling Parameter Monitoring System for Directional Drilling Rig in Coal Mine, Coal Sci. Technol., 2019.
33. Han, X., Yong, L., and Shen, J., Development and Application of SK-2Z16 Drilling Parameter Meter, China Petroleum Machinery, 2008.
34. Gidh, Y.K., Purwanto, A., and Ibrahim, H., Artificial Neural Network Drilling Parameter Optimization System Improves ROP by Predicting/Managing Bit Wear, SPE Intelligent Energy International, 2012.
35. Quanxin, L.I., Shi, Z., Chao, X.U., et al., Efficient Drilling Technique of 2311 m Ultra-Long Directional Borehole along Coal Seam, Coal Sci. Technol., 2018, vol. 46, no. 4, pp. 27–32.
36. Jin, Y. and Wang, M., PDC Bit Drilling Parameter Optimization Design Integrating Cost and Drilling Rate, Petroleum Drilling Techniques, 2012.
37. Xue, H., Jing, L.I., Shao, S., et al., Research on Optimizing Feeding Force Parameters of Deep-Hole Directional Drilling of Coal Mine, Safety Coal Mines, 2017.


SCIENCE OF MINING MACHINES


PARAMETERS OF DIMENSION CHAINS OF ROLLER CONE DRILL BITS
D. I. Simisinov*, L. V. Gorodilov, and A. D. Simisinov

Ural State Mining University, Yekaterinburg, 620144 Russia
*e-mail: 7sinov@mail.ru
Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Novosibirsk, 630091 Russia

The authors have revealed and compared the internal and external parameters that form a multi-element loop system (dimension chain) of a roller cone drill bit. The article presents procedures for the probability calculation of a dimension chain of the tool diameter, calculation of the tool diameter error because of the rotation of the cone drill bit on the bit leg, and for the calculation of eccentricity error of gage cones relative to the axis of the fitting thread for three- and four-cone drill bits. It is recommended to revise the values of dimensional tolerance for roller cone drill bits and to amend related normative and technical documentation.

Roller cutter drilling tool, roller cone drill bit, dimension chain, manufacture error, error calculation procedure

DOI: 10.1134/S1062739124040094

REFERENCES
1. Regotunov, А.S., Zharikov, S.N., Sukhov, R.I., and Kutuev, V.А., Assessment of the Current State of Drilling and Blasting Operations and the Need to Implement Transition Processes at some Large Mining Enterprises in the Urals and Siberia, Problemy Nedropol’zovaniya, 2021, no. 2 (29), pp. 52–62.
2. Anistratov, K.Yu., Donchenko, Т.V., Opanasenko, P.I., and Strogiy, I.B., Analysis of the Market of Drilling Rigs for Open-Pit Mining in Russia, Gornaya Promyshlennost’, 2018, no. 2 (138), pp. 84–89.
3. Repin, А.А., Smolyanitsky, B.N., Alekseev, S.E., Popelukh, А.I., Timonin, V.V., and Karpov, V.N., Downhole High-Pressure Air Hammers for Open Pit Mining, Journal of Mining Science, 2014, vol. 50, no. 5, pp. 929–937.
4. Karpov, V.N. and Petreev, А.М., Determination of Efficient Rotary Percussive Drilling Techniques for Strong Rocks, Journal of Mining Science, 2021, vol. 57, no. 3, pp. 447–458.
5. Khabibullin, М.Ya., Suleimanov, R.I., and Filimonov, О.V., Increasing the Durability of Three-Cone Drill Bits, Neft i Gaz, 2018., no. 1, pp. 74–79.
6. Boreiko, D.А. and Serikov, D.Yu., On the Problem of Diagnostics of Technical Condition of Roller Cutter Drilling Tools, Sfera. Neft i Gaz, 2021, no. 4, pp. 50–54.
7. Majd, H.M. and Hassani, B., Improvement of Roller Cone Drill Bit Design by Using Finite Element Method and Experimental Study, Int. J. Oil, Gas Coal Technol., 2022, vol. 31, no. 4, pp. 382–405.
8. Boreiko, D.A., Lutoev, A.A., and Serikov, D. Yu., Theoretical Studies on the Nature and Conditions of Interaction of Heel and Peripheral Nose Cones of Offset Roller Cone Bits with a Bottom Hole, Min. Sci. Technol., 2022, vol. 7, no. 3, pp. 231–239.
9. Gorshenin, М.А., Improving the Performance of Carbide-Tipped Roller Cone Drill Bits by Selective Assembly Method, GIAB, 2000, no. 4, p. 12.
10. Prakash, S. and Mukhopadhyay, A.K., A Mixed Weibull Method for Reliability Analysis of Tricone Roller Bits in Blasthole Drilling, Journal of Mining Science, 2018, vol. 54, no. 5, pp. 763–772.
11. Slipchuk, A M., Jakym, R.S., Korendiy, V., and Lytvyniak, Y.M., Design and Technological Aspects of Functionally Oriented Technology of Manufacturing the Three-Cone Drill Bits, Conf. Series: Materials Sci. Eng., IOP Publish., 2023, vol. 1277, no. 1. 012015.
12. Šporin, J., Mrvar, P., Petrič, M., Vižintin, G., and Vukelić, Z., The Characterization of Wear in Roller Cone Drill Bit by Rock Material—Sandstone, J. Petroleum Sci. Eng., 2019, vol. 173, pp. 1355–1367.
13. Ravina, K., Yang, N., Brocoum, S., Pasco-Anderson, J., Walker, R.L., Khan, M., and Holsapple, J., Conical Drill Bit for Optimized External Ventricular Drain Placement: A Proof-of-Concept Study, J. Neurosurgery, 2023, vol. 139, no. 3, pp. 881–891.
14. Bogomolov, R.М., Procedure for Calculating Calibrating Diameters of Roller Cutter Calibration Line and Drill Bit Diameter, Sfera. Neft i Gaz, 2020, no. 5, pp. 42–44.
15. Pyalchenkov, V.А., Pyalchenkov, D.V., Dolgushin, V.V., and Kulyabin, G.А., Study of Cutting Structure of Roller Cone Drill Bit Depending on Its Manufacturing Errors, Neft i Gaz, 2019, no. 1, pp. 113–120.
16. Pyalchenkov, V.А., Modeling the Workload of Bearings in a Drill Bit Leg, Mechanics and Control Processes: Proc. of All-Russian Sci. Pract. Conf., Tyumen: TyumGNGU, 2015.
17. Krylov, S.М., Bogomolov, R.М., Nosov, N.V., and Dedov, N.I., Increasing the Life of Roller Cone Drill Bit, Izv. Sam NTs RAN, 2011, no. 4-3, pp. 1085–1087.
18. Bogomolov, R.М., Analysis of Manufacturing Methods of Parts and Assembly of Roller Cone Drill Bits and their Impact on Tool Performance, Oborudovanie i tekhnologii dlya neftegazovogo kompleksa, 2020, no. 4, pp. 8–12.
19. RD 39-2-88-78. Metodika kontrolya trekhsharoshechnykh sektsionnykh dolot v sbore diametrom ot 165.1 do 320 mm (RD 39-2-88-78. Procedure for Testing Three-Cone Sectional Drill Bits in Assembly with a Diameter from 165.1 to 320 mm), Moscow: VNIIBT, 1979.


MINERAL DRESSING


SPECIFICITY OF COMPOSITION AND PROPERTIES OF UMBOZERO LOPARITE CONCENTRATION TAILINGS
E. A. Krasavtseva* and V. V. Maksimova

Nature-Like Technologies and Arctic Technosphere Safety Laboratory, Center for Nanomaterial Science, Kola Science Center, Apatity, 184209 Russia
*e-mail: vandeleur2012@yandex.ru
Institute of Problems of Industrial Ecology of the North, Kola Science Center,
Apatity, 184209 Russia

The article reports the research of composition and properties of loparite concentration tailings at the Umbozero plant closed in 1999. During the research, samples of tailings were taken in the surface layer and at depth, using the method of cutting ring. The geological and engineering properties of the tailings were investigated, and the sizing, chemical, X-ray phase and radionuclide analyses were performed. The research revealed heterogeneity in material constitution and properties of the test tailings. The mineral composition of the tailings is dominated by nepheline, and by K and Na feldspars. Loparite is detected by the X-ray phase analysis at one of the four test sites of the tailings pond, and its content increases in the fine fraction. The analysis of radionuclides shows the presence of radium and thorium in the test concentration tailings.

Tailings ponds, loparite concentration tailings, geological and engineering properties, material constitution, radio-activity, X-ray phase analysis, loparite

DOI: 10.1134/S1062739124040100

REFERENCES
1. Aleksandrova, T.N., Сomplex and Deep Processing of Mineral Raw Materials of Natural and Technogenic Origin: State and Prospects, J. Min. Institute, 2022, vol. 256, pp. 503–504.
2. Chanturia, V.A., Nikolaev, A.I., and Aleksandrova, T.N., Innovative Environmentally Safe Processes for the Extraction of Rare and Rare-Earth Elements from Complex Ores of Perplexed Material Composition, Geology of Ore Deposits, 2023, vol. 65, pp. 425–437.
3. Echeverry-Vargas, L., and Ocampo-Carmona, L.M., Recovery of Rare Earth Elements from Mining Tailings: A Case Study for Generating Wealth from Waste, Miner., 2022, vol. 12, no. 8, p. 948.
4. Hamilton, J.L., Wilson, S., Morgan, B., Harrison, A.L., Turvey, C.C., Paterson, D.J., Dipple, G.M., and Southam, G., Accelerating Mineral Carbonation in Ultramafic Mine Tailings via Direct CO2 Reaction and Heap Leaching with Potential for Base Metal Enrichment and Recovery, Economic Geology and the Bulletin of the Society of Economic Geologists, 2020, vol. 115, no. 2, pp. 303–323.
5. Abaka-Wood, G.B., Addai-Mensah, J., and Skinner, W., The Use of Mining Tailings as Analog of Rare Earth Elements Resources: Part 1—Characterization and Preliminary Separation, Miner. Proc. and Extractive Metallurgy Review, 2022, vol. 43, no. 6, pp. 701–715.
6. Agboola, O., Babatunde, D.E., Isaac Fayomi, O.S., Sadiku, E.R., Popoola, P., Moropeng, L., Yahaya, A., and Mamudu, O.A., A Review on the Impact of Mining Operation: Monitoring, Assessment and Management, Results in Eng., 2020, vol. 8, p. 100181.
7. Binnemans, K., Jones, P.T., Blanpain, B., Van Gerven, T., and Pontikes, Y., Towards Zero-Waste Valorisation of Rare-Earth-Containing Industrial Process Residues: A Critical Review, J. Cleaner Production, 2015, vol. 99, pp. 17–38.
8. Stanujkic, D., Zavadskas, E.K., Karabasevic, D., Milanovic, D., and Maksimovic, M., An Approach to Solving Complex Decision-Making Problems Based on IVIFNs: A Case of Comminution Circuit Design Selection, Miner. Eng., 2019, vol. 138, pp. 70–78.
9. Jha, M.K., Kumari, A., Panda, R., Rajesh Kumar, J., Yoo, K., and Lee, J.Y., Review on Hydrometallurgical Recovery of Rare Earth Metals, Hydrometallurgy, 2016, vol. 165, pp. 2–26.
10. Abaka-Wood, G.B., Ehrig, K., Addai-Mensah, J., and Skinner, W., Recovery of Rare Earth Elements Minerals from Iron-Oxide-Silicate-Rich Tailings: Research Review, Eng., 2022, vol. 3, no. 2, pp. 259-275.
11. Kaksonen, A.H., Lakaniemi, A.M., and Tuovinen, O.H., Acid and Ferric Sulfate Bioleaching of Uranium Ores: A Review, J. Cleaner Production, 2020, vol. 264, p. 121586.
12. Reynier, N., Gagné-Turcotte, R., Coudert, L., Costis, S., Cameron, R., and Blais, J.F., Bioleaching of Uranium Tailings as Secondary Sources for Rare Earth Elements Production, Miner., 2021, vol. 11, no. 3, p. 302.
13. Lovchikov, А.V., Sil’neishii gorno-tektonicheskii udar na podzemnykh rudnikakh i v shakhtakh Rossii: rudnik “Umbozero”, 17 avgusta 1999 goda (magnituda m = 5, energeticheskii klass k = 11.8) (The Strongest Tectonic Rockburst in Underground and Open-Pit Mines of Russia: Umbozero Mine, August 17, 1999 (magnitude m = 5, energy class k = 11.8), Apatity: Izd. KNTs, 2022.
14. Kadastr otkhodov gorno-metallurgicheskogo proizvodstva Murmanskoi oblasti (po sostoyaniyu na 01.01.2000 g.). Gornyi institut KNTS RAN, Gosudarstvennyi komitet po okhrane okruzhayushchei sredy Murmanskoi oblasti (Murmansk Regional Inventory of Mining Waste Production (as of January 1, 2000). Mining Institute KSC RAS, State Committee for Environmental Protection of the Murmansk Region), Apatity-Murmansk, 2000.
15. RF State Standard GOST 5180-2015. Soils. Laboratory Methods for Determining Physical Characteristics.
16. Krasavtseva, Е.А., Makarov, D.V., Maksimova, V.V., Selivanova, Е.А., and Ikkonen, P.V., Studies of Properties and Composition of Loparite Ore Mill Tailings, Journal of Mining Science, 2021, vol. 57, no. 3, pp. 531–538.
17. Maksimova, V.V., Krasavtseva, E.A., Savchenko, Y.E., Ikkonen, P.V., Elizarova, I.R., Masloboev, V.A., and Makarov, D.V., Study of the Composition and Properties of the Beneficiation Tailings of Currently Produced Loparite Ores, J. Min. Institute, 2022, vol. 256, pp. 642–650.
18. Metodika izmereniya aktivnosti radionuklidov s ispol’zovaniem stsintillyatsionnogo γ-spektrometra s programmnym obespecheniem “PROGRESS”. Svidetel’stvo № 40090.3N700 ot 22.12.2003 (Procedure for Measuring Radionuclide Activity Using Scintillation γ-Spectrometer with PROGRESS Software. Certificate no. 40090.3N700 dated 22.12.2003), Mendeleevo, GNMTS VNIIFTRI.
19. RF State Standard GOST 30108-94. Construction Materials and Products. Determination of Specific Effective Activity of Natural Radionuclides.
20. RF State Standard GOST 25100-2011. Soils. Classification.
21. Lomtadze, V.D., Inzhenernaya geologiya. Inzhenernaya petrologiya (Engineering Geology. Engineering Petrology), Leningrad: Nedra, 1984.
22. Melent’ev, G.B., Natural Radioactivity of Rare Metal-Specialized Mineral Raw Materials and Urbanized Territories of the Karelian-Kola Region as a Factor in their Radioecological Assessment, Trudy KNTS RAN, 2021, no. 2, pp. 27–43.
23. Sanitary Rules and Regulations SanPiN 2.6.1.2800-10. Hygienic Requirements for Limiting Population Exposure to Radiation due to Natural Sources of Ionizing Radiation: SanPiN 2.6.1.2800-10 SPS GARANT.
24. Sanitary Rules and Regulations SanPiN 2.6.1.2523-09. Radiation Safety Standards NRB-99/2009.
25. Marion, C., Grammatikopoulos, T., Rudinsky, S., Langlois, R., Williams, H., Chu, P., Awais, M., Gauvin, R., Rowson, N.A., and Waters, K.E., A Mineralogical Investigation into the Pre-Concentration of the Nechalacho Deposit by Gravity Separation, Miner. Eng., 2018, vol. 121, pp. 1–13.
26. Kalinnikov, V.Т., Nikolaev, А.I., and Kotsar, М.L., Unconventional Rare Metal Raw Materials from the Kola Peninsula: Justification and Prospects for Its Use in Technology, GIAB, 2007, no 12 (12), pp. 13–23.


POTENTIAL OF POLYMETALLIC TAILINGS AS A SOURCE OF BARITE
A. Sh. Shavekina*, S. S. Volynkin, V. P. Bondarenko, S. B. Bortnikova, and N. V. Yurkevich

Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch,
Russian Academy of Sciences, Novosibirsk, 630090 Russia
*e-mail: khusainovaas@ipgg.sbras.ru
Sobolev Institute of Geology and Mineralogy, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090 Russia

The research focuses on usability of tailings from the Talmovskie Peski and Ursk dumps in the Kemerovo Region as a manmade source of barite after suitable recovery and processing. Mineralogical, geochemical and typomorphic characteristics of barite are assessed from morphology, mineral associations, content and grain size distribution. The technological studies are accomplished, and barite concentrates are obtained from the test tailings by gravity separation and flotation. The concentrates are assessed with respect to barite content with a view to using the concentrates as a weighting material as per the USSR State Standard GOST 4682-84. The barite recovery potential of tailings from the Talmovskie Peski and Ursk dumps is evaluated.

Barite content, barite, resources, gravity, flotation, manmade objects

DOI: 10.1134/S1062739124040112

REFERENCES
1. Rikhvanov, L.P., Abrosimova, N.A., Baranovskaya, N.V. et al., Biogeokhimicheskii monitoring v raionakh khvostokhranilishch gornodobyvayushchikh predpriyatii s uchetom mikrobiologicheskikh faktorov transformatsii mineral’nykh komponentov (Biogeochemical Monitoring in the Areas of Tailings Dumps of Mining Enterprises Taking into Account Microbiological Factors of Transformation of Mineral Components), Novosibirsk: SO RAN, 2017.
2. El Aallaoui, A., El Ghorfi, M., Elghali, A., Taha, Y., Zine, H., Benzaazoua, M., and Hakkou, R., Investigating the Reprocessing Ppotential of Abandoned Zinc–Lead Tailings Ponds: A Comprehensive Study Using Physicochemical, Mineralogical, and 3D Geometallurgical Assessments, Miner. Eng., 2024, vol. 209. 108634.
3. Wu, S., Wang, F., Komárek, M., and Huang, L., Ecological Rehabilitation of Mine Tailings, Plant and Soil, 2024, p. 1–5.
4. Edelev, А.V., Yurkevich, N.V., Gureev, V.N., and Mazov, N.А., Reclamation of Waste Storage Sites of the Mining Industry in the Russian Federation, Journal of Mining Science, 2022, vol. 58, no. 6, pp. 1053–1068.
5. Rimkevich, V.S., Sorokin, А.P., Pushkin, А.А., and Girenko, I.V., Physicochemical Analysis of Distribution of Useful Components in Waste in the Thermal Energy Sector, Journal of Mining Science, 2020, vol. 56, no. 3, pp. 464–467.
6. Usmanova, N.F., Burdakova, Е.А., Baksheeva, I.I., Plotnikova, А.А., and Knyazev, V.N., Mineralogical Features Associated with Material Constitution and Process Properties of Difficult Lead–Zinc Ore, Journal of Mining Science, 2024, vol. 60, no. 1, pp. 14–153.
7. Kuznetsov, D.S., Baritovye mestorozhdeniya Respubliki Komi i perspektivy ikh osvoeniya. Aktual’nye problemy, napravleniya i mekhanizmy razvitiya proizvoditel’nykh sil Severa (Barite Deposits of the Komi Republic and Prospects for their Mining. Current Problems, Trends and Mechanisms for the Development of Productive Forces in the North), Syktyvkar: Komi Respublikanskaya Tipografiya, 2018.
8. Boyarko, G.Yu. and Khat’kov, V.Yu., Review of the State of Production and Consumption of Raw Barite in Russia, Izv. TPU. Inzhiniring Georesursov, 2021, no. 10 (332), pp. 180–191.
9. Voytov, М.D. and Veti, А.А., Analysis of the Reserves at the Kyzyl–Tashtyg Polymetallic Deposit to Justify the Mine Construction, Vestn. KuzGTU, 2012., no. 6, pp. 45–48.
10. Akhmanov, G.G., Bulatkina, Т.А., Egorova, I.P., Kuz’mina, I.A., Kochergin, А.V., and Galimov, N.R., Residual Deposits in the Republic of Bashkortostan as the Basis for Creating a Raw Material Base of “Non-Drilling” Barite, Razvedka i Okhrana Nedr, 2019, no. 6, pp. 14–18.
11. Yurkevich, N.V., Khusainova, А.Sh., Bortnikova, S.B., Bondarenko, V.P., Karin, Yu.G., and Kokhanova, S.P., Resources of Barite, Non-Ferrous and Noble Metals in the Talmovskie Peski Tailings Dump: Mineralogical, Geochemical and Geophysical Data, Geologiya i Mineral’no-Syr’evye Resursy Sibiri, 2023, no. 3 (55), pp. 105–114.
12. Pereima, А.А., Dubov, N.М., and Cherkasova, V.E., Biopolymer-Based Drilling Mud for Drilling Holes in Conditions of Abnormally High Reservoir Pressure, Stroitel’stvo neftyanykh i gazovykh skvazhin na sushe i na more, 2010, no. 4, pp. 34–38.
13. Maksimovich, N.G., Formation of Barite Using Artificial Geochemical Barriers for Purification of Quarry Waters in the Kholboldzhin Coal Mine (Buryatia), Mineralogiya Tekhnogeneza, 2016, vol. 17, pp. 74–82.
14. Ermukhanova, S.Т. and Lygina, Т.Z., Basic Technologies for Producing Barium Sulfate from Natural Barite, Actual Science, 2017, vol. 3, no. 3, pp. 98–100.
15. Larachi, N., Bali, A., Ould Hamou, M., and Bensaadi, S., Recovery of Lead and Barite from the Abandoned Ichmoul Mine Wastes in Algeria, Env. Earth Sci., 2019, vol. 78, no. 20, pp. 1–12.
16. Tusupbaev, N.K., Turysbekov, D.K., Narbekova, S.М., Kaldybaeva, Zh.А., Mukhamedilova, А.М., Musina, М.М., and Sadyk, B., Flotation of Barite-Bearing Ore. Scientific Foundations and Practice of Processing Ores and Manmade Raw Materials, Proc. 25th Int. Sci.-Tech. Conf. within the Scope of the 18th Ural Mining Decade, 2020.
17. Deniz, V., Prediction of Barite Recovery and Grade by Multiple Linear Regression (MLR) Analysis in Concentrating of Barite Tailings by Using Multi-Gravity Separator (MGS), Particulate Sci. Technol., 2021, vol. 39, no. 6, pp. 748–756.
18. Liu, Y., Wei, Z., Li, M., and Zeng, J., Research Progress of Barite Separation Process and Resource Overview, Conservation Utilization Miner. Res., 2021, vol. 41, no. 6, pp. 117–123.
19. Debrikov, I.V., Novo-Ursk Polymetallic Deposit, Materialy po Geologii Zapadno-Sibirskogo Kraya, 1937, iss. 42.
20. Kovalev, K.R., Formation Features of Ores of Pyrite-Polymetallic Deposits in North-East Salair and East Tuva, Doctor Geol. Min. Sci. Thesis, Noovosibirsk, 1969.
21. Bortnikova, S.B., Gas’kova, О.L., and Bessonova, Е. P., Geokhimiya tekhnogennykh system (Geochemistry of Manmade Systems), Novosibirsk: Geo, 2006.
22. Yurkevich, N.V., Shavekina, А.Sh., Gas’kova, О.L., Artamonova, V.S., Bortnikova, S.B., and Volynkin, S.S., Authigenic Barite in Manmade Dumps: Mineralogical and Geochemical Data, Results of Physicochemical Modeling, Georesursy, 2024, no. 26 (1), pp. 38–51.


MINE AEROGASDYNAMICS


AIR DISTRIBUTION IN INCLINED DRIFTS WITH INTENSE HEAT EMISSION SOURCES
M. D. Popov, M. A. Semin*, and L. Yu. Levin

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

The authors analyze convection-induced stratification of air flows in an inclined drift with an intense heat emission source. The research methodology included 3D numerical modeling of nonstationary aero-thermodynamic processes in an inclined drift and in an adjoint horizontal drift. The article describes three possible scenarios of convection-induced air flow stratification in an inclined drift depending on heat emission intensity. The dependence of the critical heat rate of the heating source on the initial depression and incline of the drift is determined. The pressure difference–mass air flow relationship in the inclined drift is analyzed at different heat emission intensities using the 3D numerical model and a 1D network model. Description of underground mine fires using 1D models requires empirical relationships of air drag, average air density and air flow rate.

Mine ventilation, underground fire, thermal depression, ventilation stability, modeling, ventilation network

DOI: 10.1134/S1062739124040124

REFERENCES
1. Salami O. B., Xu G., Kumar A. R., and Pushparaj R. I. Underground Mining Fire Hazards and Optimization of Emergency Evacuation Strategies: The Issues, Existing Methodology and Limitations, And Way Forward, Process Safety Env. Protection, 2023, Vol. 177, pp. 617–634.
2. Levin, L.Yu., Paleev, D.Yu., and Semin, М.А., Calculation of Air Flow Stability in Mine Ventilation Networks Based on Thermal Depression Factor, Vestn. nauchnogo tsentra po bezopasnosti rabot v ugol’noi promyshlennosti, 2020, no. 1, pp. 81–85.
3. Popov, М.D., Kormshchikov, D.S., Semin, М.А., and Levin, L.Yu., Calculation of Air Flow Stability in Drifts Based on Thermal Depression Factor Using Aeroset Analytical System, Bezopasnost’ truda v promyshlennosti, 2020, no. 10, pp. 24–32.
4. Zhou, L. and Smith, A.C., Improvement of a Mine Fire Simulation Program—Incorporation of Smoke Rollback into MFIRE 3.0, J. Fire Sci., 2012, vol. 30, no. 1, pp. 29–39.
5. Oka, Y. and Atkinson, G.T., Control of Smoke Flow in Tunnel Fires, Fire Safety J., 1995, vol. 25, no. 4, pp. 305–322.
6. Edwards, J.C., Franks, R.A., Friel, G.F., and Yuan, L., Experimental and Modeling Investigation of the Effect of Ventilation on Smoke Rollback in a Mine Entry, 2005.
7. Vasilenko, V.I., Principles, Criteria, Ventilation Control Algorithms and Stability of Air Flows during Mine Accidents, Gornyi Zhurnal, 2010, no. 8, pp. 42–46.
8. Kosterenko, V.N., Mathematical Modeling of Nonstationary Ventilation Processes in the Network of Drifts in Coal Mines, GIAB, 2011, no. 6, pp. 373–377.
9. Adjiski, V., Possibilities for Simulating the Smoke Rollback Effect in Underground Mines Using CFD Software, GeoSci. Eng., 2014, vol. 60, no. 2, pp. 8–18.
10. Meng, N., Liu, B., Li, X., Jin, X., Huang, Y., and Wang, Q., Effect of Blockage-Induced Near Wake Flow on Fire Properties in a Longitudinally Ventilated Tunnel, Int. J. Thermal Sci., 2018, vol. 134, pp. 1–12.
11. Huang, Y., Li, Y., Dong, B., Li, J., and Liang, Q., Numerical Investigation on the Maximum Ceiling Temperature and Longitudinal Decay in a Sealing Tunnel Fire, Tunnel. Underground Space Technol., 2018, vol. 72, pp. 120–130.
12. Kin, А.I., Lisakov, S.А., Sidorenko, А.Yu., Sidorenko, А.I., and Sypin, Е.V., Computer-Simulated Fire in Belt Roadway of Coal Mine, Yuzhno-Sibirskii nauchn. vestn., 2019, vol. 2, no. 4, pp. 83–94.
13. Kobylkin, S.S., Kaledina, N.О., and Kobylkin, А.S., Modeling the Effect of Wind and Air Temperature on Toxic Gas and Smoke Distribution during a Fire on Metro Bridge, GIAB, 2022, no. 11, pp. 147–162.
14. Stewart, C.M., Aminossadati, S.M., and Kizil, M.S., Underground Fire Rollback Simulation in Large Scale Ventilation Models, Proc. 15th North American Mine Ventilation Symp., 2015.
15. Hansen, R., Proposed Design Fire Scenarios for Underground Hard Rock Mines, J. Sustainable Min., 2022, vol. 21, no. 4, pp. 261–277.
16. Hu, D., Li, Z., Wang, H., Xu, H., and Miao, C., Smoke Dispersion Test and Emergency Control Plan of Fire in Mine Roadway during Downward Ventilation, Scientific Reports, 2023, vol. 13, no. 1. 3683.
17. Shalimov, А.V. and Popov, М.D., Effect of Thermal Factors on the Value of Air Drag in Mine Workings, Gornoe Ekho, 2023, no. 3, pp. 142–148.
18. Versteeg, H.K. and Malalasekera, W., An Introduction to Computational Fluid Dynamics: The Finite Volume Method, Pearson Education, 2007.
19. Hansen, R., Study of Heat Release Rates of Mining Vehicles in Underground Hard Rock Mines, Doctoral Dissertation, Mälardalen University, 2015.
20. Levin, L.Yu., Semin, М.А., and Zaitsev, А.V., Mathematical Methods of Forecasting Microclimate Conditions in an Arbitrary Layout Network of Underground Excavations, Journal of Mining Science, 2014, vol. 50, no. 2, pp. 371–378.
21. Shalimov, А.V., Numerical Modeling of Air Flows in Mines under Emergency State Ventilation, Journal of Mining Science, 2011, vol. 47, no. 6, pp. 807–813.


AERODYNAMIC PROCESSES IN EXTRA-LONG WALL COAL MINING USING SHEARERS WITH JET FANS
S. A. Pavlov

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

The articles describes the studies of influence exerted by operation of a jet fan installed on a shearer on air drag and on methane and coal dust concentrations in a longwall. The investigation used ANSYS Fluent and field data from coal mines in Kuzbass. The object of study was dust and gas/air mixtures in extra-long panels with a length of 400 m and at mineable coal seam thickness of 2.4 and 3.7 m. It is found that jet fans can decrease air drag in such longwalls by 35%, which enables decreasing the air feed in the longwall by 24% without increasing the main fan capacity. The air flow generated by a jet fan eliminates dead methane–air zones nearby an operating shearer and decreases coal dust concentration at work places of shearer’s operators by 13.8–36.7%.

Mine, coal face, extra longwall, shearer, jet fan, air drag, powered roof support, methane concentration, coal dust

DOI: 10.1134/S1062739124040136

REFERENCES
1. Starkov, L.I., Zemskov, А.N., and Kondrashev, P.I., Razvitie mekhanizirovannoy razrabotki kaliynykh rud (Development of Machine Mining of Potash Ores), Perm: PGTU, 2007.
2. De Vilhena Costa, L., Cost-Saving Electrical Energy Consumption in Underground Ventilation by the Use of Ventilation on Demand, J. Margarida da Silva, Min. Technol., 2020, vol. 129, no. 1, pp. 1–8.
3. Hardcastle, S.G., Gangal, M.K., and Leung, E., Green and Economic Mine Ventilation with an Integrated Air Management System, Proc. 7th Int. Symp. on Mine Planning and Equipment Selection, Balkema, Rotterdam, 1998.
4. Wallace K., Prosser B., and Stinnette, J.D., The Practice of Mine Ventilation Engineering, Int. J. Min. Sci. and Technol., 2015, vol. 25, no. 2, pp. 165–169.
5. Meshkov, А.А., Volkov, М.А., Ordin, А.А., Timoshenko, А.М., and Botvenko, D.V., On the Record Length and Capacity of Coal Face of V.D. Yalevsky Mine, Ugol’, 2018, no. 7, pp. 4–7.
6. Ordin, А.А., Timoshenko, А.М., Botvenko, D.V., and Nikol’skiy, А.М., Justification of Optimal Length and Coal Face Capacity when Mining Thick Coal Seam in Taldinskaya-Zapadnaya-1 Mine, Ugol’, 2019, no. 7,3 pp. 50–54.
7. Kalinin, S.I., Rout, G.N., Ignatov, Yu.М., and Cherdantsev, А.М., Justification of Daily Coal Output from a 400 m Longwall in Conditions of V. D. Yalevsky Mine, Vestn. KuzGTU, 2018, no. 5 (129), pp. 27–35.
8. Abramov, F.А., Gertsen, B.Е., Sobolevskiy, V.V., and Shevelev, G.А., Aerogazodinamika vyemochnogo uchastka (Air-Gas Dynamics of Extraction Panel), Kiev: Naukova Dumka, 1972.
9. Pavlov, S.А., Intensification of Ventilation in Extra-Long Wall Coal Mining Using Shearers with Jet Fans, Fund. Priklad. Voprosy Gornykh Nauk, 2021, vol. 8, no. 2, pp. 216–222.
10. Krasyuk, A.M., Lugin, I.V., Pavlov, S.A. et al., RF patent no. 2701900 S2, Byull. Izobret., 2019, no. 28.
11. Filin, А.E., Pulsating Ventilation Method to Disintegrate Methane Accumulations in Coal Mines, GIAB, 2006, no. S5, pp. 255–261.
12. Aleksandrov, S.N., Bulgakov, Yu.F., and Yailo, V.V., Okhrana truda v ugol’noi promyshlennosti (Occupational Safety in the Coal Industry), Donetsk: RIA DonNTU, 2012.
13. Ushakov, К.Z., Kaledina, N.О., and Kirin, B.F., Bezopasnost’ vedeniya gornykh rabot i gornospasatel’noe delo (Mining Safety and Mine Rescue), Moscow: MGGU, 2002.
14. Ayruni, А.Т., Klebanov, F.S., and Smirnov, О.V., Vzryvoopasnost’ ugol’nykh shakht (Explosion Hazard in Coal Mines), Moscow: Izd. Gornoe Delo OOO Kimmeriyskiy Tsentr, 2011.
15. Kosterenko, V.N. and Timchenko, А.N., Factors Affecting the Explosion of Methane and Coal Dust in Mines, GIAB, 2011, no. 7, pp. 368–377.
16. Uvarova, V.A., About Causes of Poisoning in Major Accidents in Coal Mines, Tekhnologii tekhnosfernoi bezopasponti, 2012, no. 6 (46), pp. 1–7.
17. Filin, А.E., Classification of Mine Workings according to the Degree of Hazard of Methane Accumulations, Thematic Appendix Metan to GIAB, 2005, pp. 223–229.
18. Filin, A.E., Failure Mechanism of Methane Accumulations in Mine Workings, Thematic Appendix Metan to GIAB, 2005, pp. 229–238.
19. Ushakov, К.Z., Rudnichnaya ventilyatsiya (Mine Ventilation), Moscow: Nedra, 1988.
20. Pavlov, S.А., Method for Reducing Methane Concentration in Extra-Long Panel Using Jet Fan Installed on Shearer, Interekspo Geo-Sibir, 2023, vol. 2, no. 1, pp. 186–193.
21. Bulletin “Status of Working Conditions of Workers Engaged in Agriculture, Hunting, Forestry, Mining, Processing, Production and Distribution of Electric Energy, Gas and Water, Construction, Transport and Communications in the Russian Federation in 2015”. Vol. 1., Moscow: Federal State Statistics Service (Rosstat), Main Interregional Center (GMTS), published on 25.04.2016.
22. Hygienic Standards GN 2.2.5.3532-18 “Maximum Permissible Concentrations (MPC) of Harmful Substances in the Air of Working Zone” Approved by the Resolution of Chief Sanitary Inspector of the Russian Federation on February 13, 2018, no. 25.
23. RF State Standard GOST R ISO 7708-2006. Air Quality. Determination of Grain-Size Distribution in Sanitary and Hygienic Сontrol. Introduced on 01.11.2006, Moscow: Nauch.-issled. tsentr kontrolya i diagnostiki tekhn. sistem, 2006.
24. Netseplyaev, М.I., Lyubimova, А.I., Petrukhin, P.М. et al., Bor’ba so vzryvami ugol’noi pyli v shakhtakh (Control of Coal Dust Explosions in Mines), Moscow: Nedra, 1992.
25. Netseplyaev, М.I., Petrukhin, P.М., and Kravets, V.М., Gidrozashchita ot vzryvov ugol’noi pyli v shakhtakh (Hydroprotection against Сoal Dust Explosions in Mines), Kiev: Tekhnika, 1980.
26. Petrukhin, P.М., Netseplyaev, М.I., and Kireev, А.М., Preduprezhdeniye vzryvov ugol’noi pyli v konveyernykh vyrabotkakh. Sovr. sposoby bor’by s pyl’yu (Prevention of Coal Dust Explosions in Belt Roadways. Present-Day Methods of Dust Control), Donetsk: TSBTI MUP USSR–MakNII, 1967.
27. Chandan, I.S. and Singhal, R.K., Dust Suppression in Mines, Colliery Guardian, 1965, vol. 210, no. 5413, pp. 91–95.
28. Kachan, V.N., Saranchuk, V.I., and Danilov, А.Т., Preduprezhdenie vzryvov ugol’noi pyli v glubokikh shakhtakh (Prevention of Coal Dust Explosions in Deep Mines), Kiev: Tekhnika, 1990.
29. Stukanov, V.I., Ivanov, V.N., and Loginov, S.М., Ochistka rudnichnogo vozdukha ot pyli pri konveiernoi dostavke rudy. Ventilyatsiya shakht i rudnikov (Mine Air Purification from Dust in Conveyor Delivery of Ore. Ventilation of Underground and Open-Pit Mines), Leningrad, 1983.
30. Johan-Essex, V., Keles, C., Rezaee, M., Scaggs-Witte, M., and Sarver, E., Respirable Coal Mine Dust Characteristics in Samples Collected in Central and Northern Appalachia, Int. J. Coal Geol., 2017, vol. 182, pp. 85–93.
31. Korneva, M.V. and Korshunov, G.I., Assessment of the Dust Load on the Respiratory Organs of Workers in Coal Mines, Taking into Account the Dispersed Composition of the Dust Aerosol, Scientific Reports on Resource Issues, 2017, vol. 1, pp. 416–421.
32. Organiscak, J.A., Page, S.J., Cecala, A.B., and Kissell, F.N., Surface Mine Dust Control, Handbook for Dust Control in Mining, F. N. Kissell (Ed.) Pittsburgh, PA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, DHHS (NIOSH) Publication, 2003, no. 147, pp. 73–81.
33. Pope, C.A., Burnett, R.T., Thun, M.J., Calle, E.E., Krewski, D., Ito, K., and Thurston, G.D., Lung Cancer, Cardiopulmonary Mortality, and Long-Term Exposure to Fine Particulate Air Pollution, JAMA, 2002, no. 287 (9), pp. 1132–1141.
34. Baturin, О.V., Baturin, N.V., and Matveev, V.N., Raschet techenii zhidkostei i gazov s pomoshchyu universal’nogo programmnogo kompleksa Fluent (Calculation of Liquid and Gas Flows Using the Universal Software Package Fluent), Samara: SGAU, 2009.
35. Kobylkin, А.S., Study of Dust Distribution in a Coal Face near Shearer, GIAB, 2020, no. 6-1, pp. 65–73.


GEOINFORMATION SCIENCE


DIGITAL MINING TECHNOLOGIES: A CASE-STUDY OF IMPORT SUBSTITUTION USING MINING AND GEOLOGICAL SYSTEMS MINEFRAME
S. V. Lukichev* and O. V. Nagovitsyn**

Mining Institute, Kola Science Center, Russian Academy of Sciences, Apatity, 184209 Russia
*e-mail: s.lukichev@ksc.ru
**e-mail: o.nagovitsyn@ksc.ru

The authors address a relevant problem connected with digital transformation of the mining industry toward import substitution and creation of a barrierless technology to operate digital data and models of objects of a mining technology with a view to solving tasks in geology, surveying and engineering. An important component of a barrierless technology is a single virtual digital space for the database translation when using program products based on different object models. Such technology is implementable through formation of a digital platform containing a basic function to operate object models in digital space and API-functions to integrate the created tools into this digital space. The requirements of the digital platform are to the largest degree met by the program products of mining and geological information systems. In the digital space of such systems, 3D modeling is performed and basic mining and geological problems are solved. The article formulates the main functionality standards of such digital platform and describes the current situation in creation of the platform using the mining and geological information system (MGIS) MINEFRAME at the Mining Institute, KSC RAS, and at MINEFRAME Laboratory LLC.

Digital mining technologies, digital transformation, mining and geological information system, 3D models, digital platform, work place, import substitution, tech stack, basic function

DOI: 10.1134/S1062739124040148

REFERENCES
1. Lukichev, S.V. and Nagovitsyn, О.V., Digital Transformation and Technological Independence of the Mining Industry, Gornaya Promyshlennost’, 2022, no. 5, pp. 74–78.
2. Kortenko, L.V., Information Systems for Operational Industrial Safety Management of Mining Enterprises, Vestn. Omskogo Universiteta. Seriya Ekonomika, 2021, vol. 19, no. 2, pp. 48–55.
3. Kaputin, Yu.E., Ezhov, А.I., and Henley, S., Geostatistika v gorno-geologicheskoi praktike (Geostatistics in Mining and Geological Practice), Apatity: KNTS RAN, 1995.
4. Kornienko, А.V. and Shishkin, А.S., Automation of Surveying Support for Mining Operations in MGIS MINEFRAME, Trudy Fersmanovskoi nauchnoi sessii GI KNTS RAN, 2017, no. 14, pp. 303–305.
5. Ismagilov, R.I., Grinik, А.V., Dogadin, А.I., Mel’nikov, V.M., Lebedev, А.G., Shmonov, А.М., Gerasimov, А.V., Kabelko, S.G., and Nevlyutov, Т.N., Digital Quarry: Using Mining and Geological Information System in Planning Mining Operations, Gornaya Promyshlennost’, 2022, no. 3, pp. 52–60.
6. Laptev, V.V. and Gurin, К.P., Automated Planning of Underground Mining Operations with Regard to Geological and Geotechnical Constraints, Journal of Mining Science, 2023, vol. 59, no. 3., pp. 490–496.
7. Nagovitsyn, G.О., Short-Term Planning of Open-Pit Mining in the Mining and Geological Information System MINEFRAME, Gornaya Promyshlennost, 2023, no. 5S, pp. 130–134.
8. Andreeva, L.I., Methodical Approach to Determining the Service Life and Cost of Ownership of Quarry Excavators in Conditions of Quarries, Gorn. Oborud. Elektromekh., 2023, no. 5 (169), pp. 61–67.
9. Basargin, А.А., Integration of Information and Mining Technologies for the Development of Smart Mines, Interekspo Geo-Sibir, 2022, vol. 1, pp. 93–98.
10. Voronov, Yu.Е., Voronov, А.Yu., Dubinkin, D.М., Maksimova, О.S., Dispatching in Quarry Excavator-Truck Systems with Unmanned Transport, Ugol’, 2023, no. 9 (1171), pp. 75–83.
11. Malikov, Yu.О. and Vasil’ev, V.А., From Talnakh to Gorizont, Gornaya Promyshlennost’, 2021, no. 4, pp. 42–46.
12. Popov, М.D., Kormshchikov, D.S., Semin, М.А., and Levin, L.Yu., Calculation of Air Flow Stability in Mine Workings Based on Thermal Depression Factor in Analytical System Aeroset, Bezopasnost’ Truda v Promyshlennosti, 2020, no. 10, pp. 24–32.
13. Dmitriev, S.V., Semenova, I.E., and Shestov, А.А., Development of SIGMA GT CAE System for Numerical Modeling of Stress-Strain State, Gornaya Promyshlennost’, 2023, no. 5S, pp. 135–141.
14. Nagovitsyn, О.V., and Lukichev, S.V., Temporal Approach to Modeling Objects within a Mining Technology, Journal of Mining Science, 2020, vol. 56, no. 6, pp. 1046–1052.


IDENTIFICATION OF MINING WASTE DISPOSAL FACILITIES USING REMOTE SENSING DATA
Yu. P. Galchenko*, Yu. A. Ozaryan**, T. V. Kozhevnikova***, and V. E. Okladnikov

Academician Melnikov Institute of Problems of Comprehensive Development of Mineral Resources—IPKON, Russian Academy of Sciences,
Moscow, 111020 Russia
*e-mail: schtrek33@mail.ru
Institute of Mining—Detached Division, Khabarovsk Science Center, Far Eastern Branch,
Russian Academy of Sciences,
Khabarovsk, 680000 Russia
**e-mail: ozaryanigd@gmail.com
Computational Center—Detached Division, Khabarovsk Science Center, Far Eastern Branch, Russian Academy of Sciences,
Khabarovsk, 680000 Russia
***e-mail: ktvsl@mail.ru

The article presents an analysis procedure for remote sensing imagery for monitoring ground surface objects. The studies on development of an algorithm for identifying mining waste disposal facilities on ground surface are described. The source data were Sentinel-2 and Landsat 5–8 images of the southern area in the Russian Far East. Using Earth Engine platform, the vegetation index is calculated for each pixel using the function of normal distance, and the test area is generated using a standard tool. Pixels were converted to square units using the reduce() method. The proposed procedure is of current interest in monitoring various objects (tailings ponds, surface mines, waste dumps, etc.) at different stages of development.

Algorithm, waste, satellite image, remote sensing, reclamation, disturbed land, geoinformation system, vegetation index

DOI: 10.1134/S106273912404015X

REFERENCES
1. Garifzyanov, R.D. and Batrakova, G.М., Identification and Assessment of Ecological Condition of Waste Disposal Facilities by Decoding Satellite Images, Vestn. PNIPU. Prikl. Ekologiya. Urbanistika, 2014, no. 3 (15), pp. 86–95.
2. Ivaniv, А.V., Strizhenok, А.V., and Suprun, I.К., Methods of Decrypting Geoecological Conditions in Mining Areas Based on Remote Sensing Data, Geologiya i Geofizika Yuga Rossii, 2019, vol. 9, no. 4, pp. 102–110.
3. Yamashkin, S.А. and Yamashkin, А.А., Improving the Efficiency of Remote Sensing Data Interpretation by Analyzing Neighborhood Descriptors, Inzhenernye tekhnologii i sistemy, 2018, vol. 28, no. 3, pp. 352–365.
4. Korikhin, N.N. and Kovyazin, V.F., The Need for Artificial Intelligence to Process Remote Sensing Data, Aktual’nye problemy lesnogo kompleksa, 2023, no. 64, pp. 61–66.
5. Li, K., Wan, G., Cheng, G., Meng, L., and Han, J., Object Detection in Optical Remote Sensing Images: A Survey and a New Benchmark, ISPRS Journal of Photogrammetry and Remote Sensing, 2020, vol. 159, pp. 296–307.
6. MacDonald, E., Jacoby, D., and Coady, Y., MineSegSAT: An Automated System to Evaluate Mining Disturbed Area Extents from Sentinel-2 Imagery, Environ. Sci. Proc., 2024.
7. Jabłońska, K., Maksymowicz, M., Tanajewski, D., Kaczan, W., Zięba, M., and Wilgucki, M., MineCam: Application of Combined Remote Sensing and Machine Learning for Segmentation and Change Detection of Mining Areas Enabling Multi-Purpose Monitoring, Remote Sensing, 2024, vol. 16, no. 6, p. 955.
8. Ren, Z., Wang, L., and He, Z., Open-Pit Mining Area Extraction from High-Resolution Remote Sensing Images Based on EMANet and FC-CRF, Remote Sensing, 2023, vol. 15, no. 15, p. 3829.
9. Werner, T.T., Mudd, G.M., Schipper, A.M., Huijbregt, M.A.J., Taneja, L., and Northey, S.A., Global-Scale Remote Sensing of Mine Areas and Analysis of Factors Explaining their Extent, Global Environmental Change, 2020, vol. 60, p. 102007.
10. Musina, G.А., Ozhigin, D.S., and Ozhigina, S.B., Environmental Monitoring on the Basis of Images Obtained by Unmanned Aerial Vehicles, Interekspo Geo-Sibir, 2019, vol. 4, no. 2, pp. 196–204.
11. Mikov, L.S., Schastlivtsev, Е.L., and Androkhanov, V.А., Assessment of Reclamation Efficiency in the Areas of the Nazarovsky Open-Pit Mine Using Remote Sensing Data, GIAB, 2023, no. 1, pp. 70–83.
12. Wei, L., Yuan, Z., Zhong, Y., Yang, L., Hu, X., and Zhang, Y., An Improved Gradient Boosting Regression Tree Estimation Model for Soil Heavy Metal (Arsenic) Pollution Monitoring Using Hyperspectral Remote Sensing, Appl. Sci., 2019, vol. 9, no. 9, p. 1943.
13. Orimoloye, I.R. and Ololade, O.O., Spatial Evaluation of Land-Use Dynamics in Gold Mining Area Using Remote Sensing and GIS Technology, Int. J. Env. Sci. Technol., 2020, vol. 17, pp. 4465–4480.
14. Cetin, M.S., Isik, P.O., Bilge, O.G., Senyel, K.M.A., Kucukpehlivan, T., and Cabuk, A., Examination of the Change in the Vegetation around the Kirka Boron Mine Site by Using Remote Sensing Techniques, Water, Air, Soil Pollut., 2022, vol. 233, no. 7, p. 254.
15. Ozaryan, Y.A., Kozhevnikova, T.V., and Manzhula, I.S., Information and Computational Technologies for Research of Natural Recovery of Vegetation Cover, IOP Conf. Series: Earth and Environmental Science, IOP Publishing, 2021, vol. 895, no. 1, p. 012035.
16. Trubetskoy, К.N. and Galchenko, Yu.P., Prirodopodobnaya tekhnologiya kompleksnogo osvoyeniya nedr—problemy i perspektivy (Nature-Like Technology for Comprehensive Subsoil Development—Problems and Prospects), Moscow: Nauchtekhlitizdat, 2020.
17. Google Earth Engine Google for Developers [E-source]. URL: https://developers.google.com/earth-engine (application date: 13.02.2024).
18. Reducer Overview Google Earth Engine Google for Developers. Available at: https://developers.google.com/earth-engine/guides/reducers_intro (application date: 13.02.2024).


MINING ECOLOGY AND SUBSOIL MANAGEMENT


MINING RECIRCULATED AND WASTE WATER TREATMENT USING ADSORBENTS MADE OF ZEOLITE-BEARING ROCKS FROM THE KHOLA DEPOSIT
K. K. Razmakhnin*, L. V. Shumilova, and I. B. Razmakhnina

Chita Division, Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences,
Chita, 672032 Russia
*e-mail: igdranchita@mail.ru
Environmental Industrial Policy Center–Research Institute,
Moscow, 115054 Russia

It is found that zeolite-bearing rocks from the Khola deposit can be dressed toward manufacture of high-quality sorbents to remove impurities from waste and recirculated water, and the relevant processing circuit is proposed. The mineral composition of the Khola zeolite-bearing rocks is described, and their electromagnetic and electrostatic separation results are reported. The layout of a continuous adsorption plant using zeolite-bearing rocks is developed. The sorption capacity of original and dressed zeolite-bearing rocks from the Khola deposit is tested in model solutions. The test data of arsenic adsorption using zeolite-bearing rocks are presented. The efficiency of zeolite-bearing rocks in removal of arsenic, fluorine, zinc, lead, nickel and chrome from a model solution of waste water is evaluated and compared. The prospects of using zeolite-bearing rocks in mine waste water treatment and in removal of impurities is assessed. The resultant purification boasts high-value results which ensure the required quality of waste water.

Zeolite-bearing rocks, Khola deposit, purification, recirculated and waste water, arsenic, sorption, best available technologies, beneficiation, adsorption plant

DOI: 10.1134/S1062739124040161

REFERENCES
1. Sabitova, А.N. and Zeitengazina, Zh. Removal of Heavy Metals from Waste Water Using Humic Substances from Coal, Vestn. KazGYUIU, 2021, no. 1 (49), pp. 188–193.
2. Almeida, R., Couto, J.M.D., Gouvea, R.M., and Oroski, F.D., Waste Management and Research, 2020, vol. 38, no. 10. 1119.
3. Nikolaeva, L.А. and Nedzvetskaya, R.Ya., Industrial Wastewater Treatment Based on Biosorption Technology, Teploenergetika, 2012, no. 3, p. 78.
4. Dzhaparova, Sh., Muktar Kyzy, М., and Abdykadyr Uulu Y., Wastewater Treatment with Adsorbent Based on Kyrgyzstan Coal, Izv. Oshskogo Tekhnol. Univ., 2023, no. 1, pp. 110–114.
5. Sambursky, G.А., Ustinova, О.V., and Leont’eva, S.V., Standardization Features of Chemical Reagents for Preparation of Drinking Water (by the Example of Aluminum Polyoxychloride Coagulant), Vodosnabzhenie i Sanitarnaya Tekhnika, 2020, no. 1, pp. 15–22.
6. Nikolaeva, L.А., Resource-Saving in Industrial Wastewater Treatment Technology, Energoresursoeffektivnost’ i energosberezhenie: sb. nauch. tr. (Energy- / Resource- Efficiency and Energy Saving: Collected Papers), 2014, pp. 102–106.
7. Reis, B.G., Silveira, A.L., Lebron, Y.A.R., and Moreira, V.R., Process Safety and Environmental Protection, 2020, vol. 143, p. 121.
8. Razmakhnin, K.K., Development and Justification of Treatment and Modification Technology for East Transbaikalia Zeolite Rocks, Journal of Mining Science, 2021, vol. 57, no. 3, pp. 493–501.
9. Shumilova, L.V., Razmakhnin, K.k., and Khat’kova, А.N., Nauchnoe obosnovanie i razrabotka ekologicheski chistykh bezotkhodnykh tekhnologii pererabotki prirodnogo i tekhnogennogo mineral’nogo syr’ya (Scientific Justification and Development of Environmentally Friendly Waste-Free Technologies for Processing Natural and Manmade Minerals), Chita: ZabGU, 2023.
10. Keyikoglu, R., Karatas, O., and Rezania, H., Separation and Purification Technology, 2021, vol. 259. 118182.
11. Starostin, А.G., Fedotova, О.А., and Kobeleva, А.R., Removal of Fine Particles from Waste Water Using a Hydrocyclone, Vestn. PIPU. Khim. tekhnologiya i biotekhnologiya, 2020, no. 1, pp. 99–112.
12. Kader, D.М. and Alekseeva, N.V., Influence of Operating Parameters and Membrane Characteristics on the Performance of Reverse Electrodialysis Unit, Yuzhno-Sibirskii Nauch. Vestn., 2019, no. 2, pp. 161–168.
13. Liu, X., Ma, R., and Wang, X., Graphene Oxide-Based Materials for Efficient Removal of Heavy Metal Ions from Aqueous Solution—A Review, Env. Pollution, 2019, vol. 252, part A, pp. 62–73.
14. Gubari, M.Q., Zwain, H.M., Al-Zahiwat, M.M., and Alekseeva, N.V., Characteristics of the MK-40 and MA-40 Membranes for Industrial Wastewater Treatment—A Review, Ecological Eng. Env. Technol., 2021, vol. 21, no. 1, pp. 39–50.