SCIENTIFIC APPROACHES FOR PROPOSING AREA EFFICIENT
ENGINEERING IN THE MINING OF MINERAL DEPOSITS
A. Khorolskyi1*
1Institute for Physics of Mining Processes
of the National Academy of Sciences of Ukraine, Dnipro, Ukraine
*Corresponding author:
e-mail:khorolskiyaa@ukr.net
Physical and
technical problems of mining production, 2021, (23), 149-173.
https://doi.org/10.37101/ftpgp23.01.011
full
text (pdf)
ABSTRACT
Purpose. To
develop a new approach to designing a process for cost-effective and environmentally friendly development of mineral deposits.
Methods. The
terms of reference for the development of a project for the effective
development of mineral deposits provides for the justification of the boundaries
of the area of rational
design, which determines the optimal numerical values of the
set of parameters that characterize the processes of development of deposits. The procedure for determining the optimal parameters is carried out by examining
the state of change in
mineral reserves from balance to final products
in the form of a single
complex system of interconnected elements of technological chains, technological schemes, quality indicators of raw materials
and their volumes.
Findings. An
algorithm for designing the process of developing mineral deposits is proposed. The algorithm indicates the relationship between the design tasks in the form
of a hierarchical structure, which includes four levels (strategic, integrated, longwall, technological) that form the design
tasks of this process. Regardless of the type of
mineral, design tasks involve process optimization, which is implemented
based on a decomposition approach.
Originality. The
conceptual foundations of effective development of mineral deposits have been formed,
according to which - the criterion of optimality is quality, which is expressed in ash content,
the degree of dilution, and negative impact on the
environment; process design begins with determining the volume of extraction of minerals from the subsoil;
the project includes economic and environmental strategies for mining, while in case of
inconsistency of the economically advantageous strategy with a safe one, additional stages for the enrichment of minerals, reclamation, etc. should be envisaged;
the search for the optimal
scenario for the development of the field
is implemented by reflecting the life cycle
of the development of the field by
a decomposition scheme presented in the form of
a network model, and the optimization
process itself involves the study of changes
in the state of reserves
from balance to final production.
The scope of application of the given
decision-making tools from the standpoint
of optimal design and choice of decisions
from the standpoint of isolation in space and discontinuity
(continuity) in time is proposed.
Practical implications. The
proposed sequence of implementation of the described
approach in the development of comprehensive recommendations, which are reflected in the "Passport for the development of mineral deposits". Decision-making
tools and software implementation are proposed.
Keywords: mining
of mineral deposits, efficiency, engineering, software, continuity modeling, dynamic programming, parameters
REFERENCES
1. Khorolskyi, A., Hrinov V.
& Kaliushenko, O. (2019). Network models for
searching for optimal economic and environ mental strategies for field
development. Procedia Environmental Science, Engineering and Management.
6(3), 463–471.
2. Grinev, V. & Horol'skij,
A. (2019). Modelirovanie scenariya
osvoeniya mestorozhdenij
cennyh rud na usloviyah dinamicheskogo programmirovaniya.
In II Bekzhanovskie chteniya,
11–119.
3. Babets, Ye.K., Adamchuk, A.A., Shustov, O.O., Anisimov,
O.O., & Dmytruk, O.O. (2020). Determining
conditions of using draglines in single-tier internal dump formation. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 6, 5–14.
https://doi.org/10.33271/nvngu/2020-6/005
4. Salli, S., Mamaykin, O.,
& Smolanov, S. (2013). Inner potential of
technological networks of coal mines. Mining of Mineral Deposits, 243–246.
5. ElMaraghy, H.A. (2005). Flexible and reconfigurable
manufacturing systems paradigms. International journal of flexible
manufacturing systems, 17(4), 261–276.
6. Felipe, J.,
& Adams, F.G. (2005). "A theory of production" the estimation
of the Cobb-Douglas function: A retrospective view. Eastern Economic
Journal, 31(3), 427–445.
7. Khorolskyi, A. & Hrynov,
V. (2020) Otsinka i vybir parametriv pry rozrobtsi rodovyshch korysnykh kopalyn. Fyzyko-tekhnycheskye problemy
hornoho proyzvodstva,
(22), 118–140. https://doi.org/10.37101/ftpgp22.01.009
8. Khorolskyi, A., Hrinov, V., Mamaikin, O., & Fomychova,
L. (2020). Research into optimization model for balancing the technological
flows at mining enterprises. E3S Web Of Conferences, 201, 01030.
https://doi.org/10.1051/e3sconf/202020101030
9. Hrinov, V. & Khorolskyi,
A. (2018). Improving the Process of Coal Extraction Based on the Parameter
Optimization of Mining Equipment. In E3S Web of Conferences, Ukrainian
School of Mining Engineering. (Vol. 60. p. 00017). EDP Sciences. https://doi.org/10.1051/e3sconf/20186000017
10. Saaty, T.L. (2014). Analytic heirarchy
process. Wiley statsRef: Statistics reference
online.
11. Mamaykin, O. (2015). On the problem of operation
schedule reliability improvement in mines. New Developments in Mining
Engineering, 505–508.
12. Khorolskyi, A.A., & Grinev,
V.G. (2020). Optimizaciya parametrov
krepleniya vyrabotok v slozhnyh gidrogeologicheskih usloviyah. Geologiya i ohrana nedr,
(3), 53–59.
13. Khorolskyi, A., Hrinov, V., Mamaikin, O., & Demchenko,
Yu. (2019). Models and methods to make decisions while mining production
scheduling. Mining of Mineral Deposits, 13(4),53–62.
https://doi.org/10.33271/mining13.04.053
14. Khorolskyi, A.A., & Grinev,
V.G. (2020). Razrabotka novogo
podhoda dlya vybora sposoba krepleniya vyrabotok. Gornaya mekhanika i mashinostroenie, (3),
27–36.
15. Salli, S., Pochepov, V.,
& Mamaykin, O. (2014). Theoretical aspects of
the potential technological schemes evaluation and their susceptibility to
innovations. Progressive Technologies of Coal, Coalbed Methane, and Ores
Mining, 491–496.
16. Khorolskyi, A.A., & Grinev,
V.G. (2020). Vozmozhnosti sozdaniya
novoj tekhnologii optimal'nogo proektirovaniya prirodopol'zovaniya. Gorno-geologicheskij
zhurnal, (61), 4–12.
17. Grinev, V.G., & Khorolskyi,
A.A. (2017). Sistema podderzhki prinyatiya reshenij pri razrabotke mestorozhdenij poleznyh iskopaemyh. Gorno-geologicheskij
zhurnal, 51(3), 18–24.
18. Synkov, V.G., Grinev, V.G.,
& Khorolskyi, A.A. (2016). Ocenka urovnya vzaimosvyazi ochistnogo oborudovaniya v sostave mekhanizirovannogo kompleksa.
Naukov³ prac³ Donec'kogo nac³onal'nogo tekhn³chnogo un³versitetu. Ser³ya: ²nformatika, k³bernetika ta obchislyuval'na
tekhn³ka, (1), 124–131.
19. Khorolskyi, A. & Gr³n'ov,
V. (2020). Viznachennya rac³onal'nogo
obsyagu viluchennya korisnih kopalin ³z nadr: marzhinal'nij
p³dh³d. Ekonom³ka promislovost³, 3(91), 82–95.
https://doi.org/10.15407/econindustry2020.03.082
20. Gr³n'ov, V.G., & Khorolskyi,
A.O. (2020). Dosl³dzhennya osnov
tekhnologii optimal'nogo
proektuvannya rac³onal'nogo
koristuvannya rodovishchami
c³nnih kopalin. M³neral'n³ resursi Ukrainy, 2, 19–24.
https://doi.org/10.31996/mru.2020.2.19-24
21. Filosofiya: Enciklopedichnij slovar'. (2004). Gardariki,
550 p.
22. Matematicheskij enciklopedicheskij
slovar'. (1995). Nauchnoe
izdatel'stvo «Bol'shaya
Rossijskaya enciklopediya»,
847 p.
23. Metodologiya: slovar' sistemy osnovnyh ponyatij. (2013). Librokom,
208 p.
24. Du, D.Z., Pardalos, P.M., & Wu, W. (2008). "History of
Optimization". In Floudas, C.; Pardalos, P. (eds.). Encyclopedia
of Optimization. Boston: Springer, 1538–1542.
25. Li-Ping, Z., Huan-Jun, Y., & Shang-Xu, H. (2005). Optimal choice
of parameters for particle swarm optimization. Journal of Zhejiang
University-Science A, 6(6), 528–534.
26. Stewart, J.J.
(2013). Optimization of parameters for semiempirical
methods VI: more modifications to the NDDO approximations and
re-optimization of parameters. Journal of molecular modeling,
19(1), 1–32.
27. Grinev, V. (1992). Reshenie
problem razrabotki rudnyh
mestorozhdenij Severa.
Novosibirsk, Nauka, 205.
28. Leitch, C.M.,
Hill, F.M., & Harrison, R.T. (2010). The philosophy and practice of
interpretivist research in entrepreneurship: Quality, validation, and
trust. Organizational Research Methods, 13(1), 67–84.
29. O’Donoghue, B., Osband, I., Munos, R., & Mnih, V.
(2018, July). The uncertainty bellman equation and exploration. In
International Conference on Machine Learning (pp. 3836–3845).
30. Carter, J.,
& Heinrich, G. (2011). SecDec: A general
program for sector decomposition. Computer Physics Communications, 182(7),
1566–1581.
31. Hrynev, V., Yzakson, V. &
Zubkov, V. (1999). Reshenye
hornykh zadach na EVM pry osvoenyy rudnykh mestorozhdenyi. Novosybyrsk: Nauka, Sybyrskaia yzdatelskaia fyrma RAN, 215 p.
32. Hrinov, V. & Khorolskyi,
A. (2019). Optymalne proektuvannia
parametriv hirnychoz-bahachuvalnykh
pidpryiemstv dlia ratsionalnoho osvoiennia tsinnykh rodovyshch Ukrainy. Fyzyko-tekhnycheskye
problemy hornoho proyzvodstva. (21),
124–145.
33. Hrinov, V.H. & Khorolskyi,
A.O. (2018). Mozhlyvosti efektyvnoho
osvoiennia rudnykh rodovyshch iz zapasamy ridkisnykh i blahorodnykh metaliv. Fyzyko-tekhnycheskye
problemy hornoho proy-zvodstva, (20), 113–122.
34. Hrinov, V., Khorolskyi, A.
& Kaliushhenko, O. (2019). Rozroblennja ekologichnyh scenarii'v efektyvnogo osvojennja cinnyh rodovyshh korysnyh kopalyn. Mineral'ni resursy Ukrai'ny, (2), 46–50.
https://doi.org/10.31996/mru.2019.2.46-50
35. Khorolskyi, A. & Hrinov,
V., (2018). Proektuvannia tekhnolohichnykh
skhem hirnychoho vyrobnytstva v umovakh nevyznachenosti. Fyzyko-tekhnycheskye
problemy hornoho proyzvodstva, (20), 132–146.
36. Delis, M., Iosifidi, M., & Tsionas,
E. G. (2014). On the estimation of marginal cost. Operations Research,
62(3), 543–556.
37. Khorolskyi, A.A., & Grinev,
V.G. (2021). Novye podhody
k proektirovaniyu processov
osvoeniya mestorozhdenij
poleznyh iskopaemyh. In
Satpaevskie chteniya-2021, 682–686.
38. Khorolskyi, A.A., & Grinev,
V.G. (2020). Modeli i metody optimal'nogo proekti-rovaniya dlya osvoeniya mestorozhdenij poleznyh iskopaemyh. In Informacionnye tekhnologii v obrazovanii, nauke i proizvodstve, 342–349.
39. Hrinov, V.H., Khorolskyi,
A.O., & Mamaikin, O.R. (2019). Otsinka stanu ta optymizatsiia parametriv tekhnolohichnykh skhem vuhilnykh shakht. Visnyk Kryvorizkoho natsionalnoho universytetu,
(48), 31–37. https://doi.org/10.31721/2306-5451-2019-1-48-31-37
40. Panfilov, E.I. (2011). Klassifikaciya
istochnikov izmenenij kachestva tverdyh poleznyh iskopaemyh pri ih dobyche.
Gornaya promyshlennost',
(3), 16–20.
41. Khorolskyi, A.A., & Grinev,
V.G. (2019). Optimal'noe proektirovanie
parametrov gornogo proizvodstva. In Informacionnye
tekhnologii v obrazovanii,
nauke i proizvodstve, 459–465.
42. Khorolskyi, A.O. (2020). Kontseptualni
zasady ratsionalnoho vykorystannia pryrodnykh resursiv. In Perspektyvy rozvytku hirnychoi spravy ta ratsionalnoho vykorystannia pryrodnykh resursiv, 35–40.
43. Dreyfus, S.
(2002). Richard Bellman on the birth of dynamic programming. Operations
Research, 50(1), 48–51.
44. Tan, G.Z., He,
H., & Aaron, S. (2006). Global optimal path planning for mobile robot
based on improved Dijkstra algorithm and ant system algorithm. Journal of
Central South University of Technology, 13(1), 80–86.
45. Wei, D.
(2010). An optimized floyd algorithm for the
shortest path problem. Journal of Networks, 5(12), 1496.
46. Synkov, V.G., Grinev, V.G.,
& Khorolskyi, A.A. (2016). Primenenie bazovyh algoritmov optimizacii dlya vybora ochistnogo oborudovaniya. Naukov³ prac³ Donec'kogo nac³onal'nogo tekhn³chnogo un³versitetu. Ser³ya: ²nformatika, k³bernetika ta obchislyuval'na
tekhn³ka, (2), 117–124.
47. Khorolskyi, A.A., & Grinev,
V.G. (2018). Ispol'zovanie dinamicheskogo
programmirovaniya dlya proektirovaniya gornogo proizvodstva pri ogranichennyh resursah. In Informacionnye tekhnologii v obrazovanii, nauke i proizvodstve: access:
http://rep.bntu.by/handle/data/49907
48. Grinev, V.G., & Khorolskyi,
A.A. (2018). Proektirovanie tekhnologicheskih
skhem ochistnogo oborudovaniya s ispol'zovaniem
setevyh modelej: opyt i perspektivy.
Gornaya mekhanika i mashinostroenie, (4),
12–21.
49. Khorolskyi, A.O., Hrinov,
V.H., & Mamaikin, O.R. (2019). Innovatsiini perspektyvy pidzemnoi ekspluatatsii vuhilnykh rodovyshch. Visnyk ZhDTU. Seriia" Tekhnichni nauky", 1(83), 289–298.
https://doi.org/10.26642/tn-2019-1(83)-289-298
50. Khorolskyi, A.A., & Grinev,
V.G. (2018). Vybor scenariya
osvoeniya mestorozhdenij
poleznyh iskopaemyh. Geologiya i ohrana nedr, (3), 68–74.
51. Starodub, G., Karabyn, V., Ursulyak, P., & Pyroszok,
S. (2013). Assessment of anthropogenic changes natural hydrochemical
pool Western Bug River. Studia regionalne i lokalne Polski Poludniowo-Wschodniej, 11, 79–90.
52. Pavluk, M., Ya, L., & Karabyn, V. (2016). Geochemical aspects of tcology safety of drilling of oil and gas wells in the
Southern Boryslav area of Precarpatia.
Geology and geochemistry of combustible minerals, 1–2.
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