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ISSN 0536-1028 (Print)              ISSN 2686-9853 (Online)  

УДК 332.14;553.04 DOI: 10.21440/0536-1028-2019-8-108-124 Download

Naumov I. V., Krasnykh S. S. The research of interregional relationships in the development of the mineral resource complex of the Russian Federation. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal = News of the Higher Institutions. Mining Journal. 2019; 8: 108–124 (In Russ.). DOI: 10.21440/0536-1028-2019-8-108-1244

ABSTRACT

The research aims to study and model inter-regional interconnections in the development of mineral resource complex of the Russian Federation and determine the main vectors of their development for the implementation of RF Spatial Development Strategy for the period up to 2025. The research methodology is based on spatial econometrics tools application, such as: spatial autocorrelation of RF subjects in the main areas mineral resource complex development. Results. The spatial analysis of regions interconnection in the development of the mineral resource complex with the use of autocorrelation according to Moran method allowed us to establish RF promising centers for oil and gas production (Sakha, Sakhalin, Tomsk, Astrakhan, Samara, and Orenburg regions), gold and metal ore (Krasnoyarsk, Transbaikal and Kamchatka regions, the Republic of Buryatia and the Kemerovo region), coal (Komi Republic, Sakha and Buryatia, Novosibirsk Region, Krasnoyarsk Krai). These territories are not considered by the Strategy for Spatial Development of the Russian Federation for the period up to 2025 as priority mineral resource centers. Summary. The spatial development strategy of the Russian Federation for the period until 2025 considers only the Republic of Sakha (Yakutia), Komi and Tatarstan, Krasnoyarsk, Khabarovsk Territory, Nenetsky, Khanty-Mansiysk and Yamalo-Nenets, Chukotka Autonomous Districts, Tyumen, Kemerovo, Irkutsk, Amur, Magadan and Sakhalin regions as priority territories for the spatial development of the mineral resource complex. At the same time, mineral resources development of a number of regions in the Southern, Ural and Siberian macro-regions is ignored. The territorial systems that make up the Ural macro-region have high levels of mineral production and are promising mineral resource centers of the country, which have all the necessary resources and close ties with other regions in processing the extracted raw materials. Key words: interregional relationships; mineral and raw materials complex of RF; spatial autocorrelation; RF Spatial Development Strategy until 2025. Acknowledgements. The research has been carried out in accordance with the research plan of the Laboratory for Spatial Development of Territories, Institute of Economics UB RAS for 2019.

REFERENCES
1. Chan T. H., Egorova M. S. Russian mineral base. The infuence of the mineral resources sector on the
country’s economy. Molodoj uchenyj = Young Scientist. 2015; 11.4: 226–229. (In Russ.)
2. Chuikov A. The century of the minerals. Argumenty nedeli = Arguments of the Week. 2015; 33: 3.
(In Russ.)
3. Petrov O. V., Tatarkin A. I. An innovative model for the expanded reproduction of the mineral resource
base in the Russian Federation. In: The strategy of fnding and resourcing mineral resources centers at the
territory of the Russian Federation: round table, 25–26 November, 2010. St. Petersburg: VSEGEI
Publishing; 2010. p. 29–37. (In Russ.)
4. Kimelman S. A., Nezhenskii I. A. Mineral resources potential of the Russian Federation in material and
monetary terms. Otkrytoe obrazovanie = Open Education. 2011; 2-2: 257–260 (In Russ.)
5. Petrov O. V. On the efective use of mineral resources potential of Russian subsoil. Vestnik ChelGU =
Bulletin of Chelyabinsk State University. 2010; 2: 20–28. (In Russ.)
6. Rapakov G. G., Lebedeva E. A., Gorbunov V. A., Abdalov K. A., Melnichuk O. V. Spatial cluster
analysis and emission detection by using geoinformation technology. Vestnik Cherepoveckogo
gosudarstvennogo universiteta = Bulletin of the Cherepovets State University. 2018; 5 (86): 25–35.
(In Russ.)
7. Balash V. A., Faizliev A. R. The spatial correlation in statistical researches. Vestnik Saratovskogo
gosudarstvennogo sotsialno-ekonomicheskogo universiteta = Bulletin of the Saratov State Socio-Economic
University. 2008; 4 (23): 122–125 (In Russ.)
8. Naumov I. V. Investigation of the interregional relationships in the processes of shaping the territories’
investment potential using the methods of spatial modelling. Ekonomika regiona = Economic of Region.
2019; 3: 720–735. (In Russ.)
9. Moran P. Notes on continuous stochastic phenomena. Biometrika. 1950; 37(1/2): 17–23. Available from:
https://doi. org/10.2307/23321 42 1950
10. Anselin L. Local indicators of spatial association—LISA. Geogr Analis. 1995; 27(2): 93–115. Available
from: https ://doi. org/10.1111/j.1538-4632.1995.tb003 38.x
11. Geary R. The contiguity ratio and statistical mapping. Inc Stat. 1954; 5(3): 115–146. Available from:
https ://doi. org/10.2307/29866 45
12. Anselin L. The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial Association.
In Spatial Analytical Perspectives on Gis in Environmental and Socio-Economic Sciences.
1996. p.111–25.
13. Damodar N., Gujarati. Basic Econometrics. The McGraw-Hill Companies. New York. 2004; 4: 1002.
14. Korzhubaev A. G., Filimonova I. V., Mishenin M. V. Modern strategy of integrated development of oil
and gas resources of the Russian East. Burenie i neft = Drilling and oil. 2011; 11: 24–28 (In Russ.)
15. Metkin D. M. Economic evaluation of hydrocarbon deposits of Sakhalin shelf. Zapiski Gornogo
instituta = Journal of Mining Institute. 2007. 184–187. (In Russ.)
16. Sharf I. V., Grinkevich L. S. Assessing the Extraction Potential of Tomsk Region's Difcult-To-Obtain
Oil Reserves. Ekonomika regiona = Economy of Region. 2016; 1: 201–210. (In Russ.)
17. Taraskina Y. V. Fuel and energy complex of the astrakhan region: state and prospects of its development.
Vestnik Astrahanskogo gosudarstvennogo tekhnicheskogo universiteta, nauchnyj zhurnal seriya
«Ekonomika» = Bulletin of the Astrakhan State Technical University, a scientifc journal series
"Economics". 2011; 1: 117–123. (In Russ.)
18. Aralbaeva G. G., Aralbaev Z. T. Trends in the development of oil and gas industry in the orenburg
region. Vestnik OGU = Bulletin of Orenburg State University. 2014; 4(165): 159–164 (In Russ.)
19. Ashihmin A. A., Pogonin V. V. Developing the mechanisms of stimulating investments into the projects
of goldfelds development of Krasnoyarsk Krai. Gornyi informatsionno-analiticheskii biulleten (nauchno-
tekhnicheskii zhurnal) = Mining Informational and Analytical Bulletin (scientifc and technical journal).
1999; 4. (In Russ.)
20. Korchagina D. A. Trans-Baikal area gold mineral base status and development forecast. Otechestvennaya
geologiya = National Geology. 2019; 4: 3–13. (In Russ.)
21. Shirkova E. E., Shirkov E. I., Diakov M. Iu. Kamchatka’s natural resource potential assessment and the
problems of its use in the long term. Issledovaniya vodnyh biologicheskih resursov Kamchatki i severo-
zapadnoj chasti Tihogo okeana = Studies of aquatic biological resources of Kamchatka and the Northwest
Pacifc. 2014; 35: 5–21. (In Russ.)
22. State register of mineral resources in the Russian Federation as of January 2016. Issue 29. Gold.
Vol. 7. Siberian Federal District. Part. 7. The Republic of Buryatia. Moscow; 2016. (In Russ.)
23. Chernykh A. I., Kuraev A. A. State and prospects of gold mineral resource base development in the
Kemerovo region. Geologiya i mineralno-syrievye resursy Sibiri = Geology and mineral resources of
Siberia. 2010; 3: 10. (In Russ.)
24. Kalinin E. P. Mineral and raw materials potential of the Republic of Komi at the present time. Vestnik
Instituta geologii Komi NC UrO RAN = Bulletin of the Institute of Geology of Komi Scientifc Center, Ural
Branch of RAS. 2010; 6: 10–17. (In Russ.)
25. Vlasenko A. V., Skriabin V. V., Patsuk O. V. The state and prospect of coal-mining industry in the
Krasnoyarsk Krai. Problemy sovremennoj ekonomiki i menedzhmenta = Problems of modern economics
and management. 2017; 35–40 (In Russ.)
26. Golubenko A. V., Novikov M. V. Perspectives for the use of coal in fuel and energy complex of the
Republic of Sakha (Yakutia). Gornyi informatsionno-analiticheskii biulleten (nauchno-tekhnicheskii
zhurnal) = Mining Informational and Analytical Bulletin (scientifc and technical journal). 2009;
12: 495–502. (In Russ.)
27. Tubchinov B. N., Shirapova S. D. The prospects of using brown coal in the Republic of Buryatia, the
features of the modern stage of natural and engineering sciences development: Proceedings of International
science to practice conference. 2018: 191–193. (In Russ.)
28. Tarazanov I. G. Russia’s coal industry performance for January – December, 2018. Ugol = The Coal.
2019; 3(116): 64–79. (In Russ.)

Received 5 September 2019

УДК 338.23:330.52(98) DOI: 10.21440/0536-1028-2019-8-97-107 Download

Semenov A. N., Seryi R. S. Hard-to-wash sand disintegration investigation in gold placers. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal = News of the Higher Institutions. Mining Journal. 2019; 8: 88–96 (In Russ.). DOI: 10.21440/0536-1028-2019-8-88-96

Abstract Introduction. A promising area of replenishing the resource base for placer gold mining could be the involvement of high clay content deposits. Important scientifi c and practical problem with this solution is improving the quality of sand preparation for enrichment due to high-quality disintegration. Solving the problem requires not only creating more effi cient clay sands disintegrators, but also study of sand granulometry, evaluation of their physical and mechanical properties, the material composition of the mineral rock mass. The composition of the hard-to-wash sands of the Far East shows that the clay content in them varies widely and can reach 60% or more. Analysis of the existing methods of sands deposits disintegration shows that the use of traditional methods of rock preparation for enrichment will not allow to fully solving the problem of processing high-clay alluvial deposits.
Research aim is the development of a scheme for processing high-clay sands using a high-pressure hydrodynamic disintegrator based on the principle of the effect of hydrodynamic cavitation.
Research methodology. The experiments have been carried out on high-clay sand processing with a laboratory disintegration facility with various cavity activators.
Results. In the course of the study, the design of the device for the disintegration of high-clay sands was developed and proposed for practical implementation, allowing to reduce the loss of gold in the enrichment of high-clay sands on sluice washers, as well as to engage in mining alluvial deposits with high clay content, mining of which was previously considered unprofitable. The use of this technological scheme will make it possible to switch from a two-stage technology for the processing of placers to a one-stage, incorporating the processing of sands and effel into a single technological process, eliminating the costs of processing man-made alluvial sands of gold deposits.

Key words: placer gold deposit; high clay content sands; disintegration; cavitation; hydrodynamic disintegrator.

 

REFERENCES

  1. Mirzekhanov G. S., Litvintsev V. S. Mining waste management at precious metal placers in the Russian Far East: State-of-the-art and problems. Gornyi zhurnal = Mining Journal. 2018; 10: 25–30. DOI: 10.17580/gzh.2018.10.04. (In Russ.)
  2. Mirzekhanov G. S., Mirzekhanova Z. G. Resource potential of technogenic formations of gold placers. Moscow: MAKS Press Publishing; 2013. (In Russ.)
  3. Litvintsev V. S., Sas P. P. Current state and main directions of innovative development of placer gold mining in Far East Federal District. In: E3S Web of Conferences. 2018; 56. DOI: 10.1051/ e3sconf/20185604004
  4. Litvitsev V. S., Alexeev V. S., Kradenykh I. A. The technology of development of residue objects of precious metals placer deposits. In: E3S Web of Conferences. 2018; 56. DOI: 10.1051/e3sconf/20185601005
  5. MacFarlane K. E., Nordling M. G. Yukon Exploration and Geology Overview 2013. Whitehorse, Canada (Yukon Geological Survey), 2014. 80 p.
  6. Oberthuer T., Melcher F., Weiser T. W. Detrital platinum-group minerals and gold in placers of southeastern Samar Island, Philippines. Canadian Mineralogist. 2017; 55(3): 45–62.
  7. Seryi R. S., Nechaev V. V. On the necessity of an integrated approach to the problem of disintegration of hard-to-wash sands of placers. Gornyi informatsionno-analiticheskii biulleten (nauchno-tekhnicheskii zhurnal) = Mining Informational and Analytical Bulletin (scientific and technical journal). 2009; special edition 4. Far East-1. pp. 268–274. (In Russ.)
  8. Khnykin V. F. Prospects of hard-to-wash high-clay gold placers. Gornyi zhurnal = Mining Journal. 1995; 11: 26–31. (In Russ.)
  9. Beloborodov V. I., Fedotov K. V., Romanenko A. A. Concentrating gold-bearing sand with a high content of clay. Gornyi zhurnal = Mining Journal. 1995; 5: 12–18. (In Russ.)
  10. Kisliakov V. E., Karepanov A. V., Semenov A. N. Results of research of clay-bearing sand preparation to gravitational concentration. In: Gravitational methods of concentration. Modern concentration equipment and new technologies to process mineral raw material. Proceedings of the 2nd science and technical conference dedicated to the 100th anniversary of Trud plant. Novosibirsk: Sibprint Publishing; 2005. p. 87–89. (In Russ.)
  11. Levkovskii Iu. L. The structure of cavitation flows. Leningrad: Sudostroenie Publishing; 1978. (In Russ.)
  12. Kisliakov V. E., Karepanov A. V., Semenov A. N. Study of clay-bearing sand washing efficiency. In: Modern technologies of mineral resources development: collection of works. Krasnoyarsk: GATsMiZ Publishing; 2004. p. 354–362. (In Russ.)
  13. Karepanov A. V., Semenov A. N. Study of clay softening with the use of hydrodynamical cavitation. In: Modern technologies of mineral resources development: collection of works. Krasnoyarsk: GATsMiZ Publishing; 2005. p. 190–194. (In Russ.)

Received 7 May 2019

 

 

УДК 622.7.09 DOI: 10.21440/0536-1028-2019-8-81-87 Download

Stupakova E. V. Reproducibility and repeatability of measurement results and their application when calculating the errors of ore and concentrates samples preparation and analysis. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal = News of the Higher Institutions. Mining Journal. 2019; 8: 81–87 (In Russ.). DOI: 10.21440/0536-1028-2019-8-81-87

АННОТАЦИЯ

Introduction. Well-known formulae make it possible to analytically calculate the random error of mass-reduction at samples preparation and their preparation for analysis, which is also true for weighted samples collection for analysis; it helps to calculate, analyze and optimize the circuits of samples preparation, including reference standards preparation. All these values can be determined by means of direct measuring, but the performer’s qualifcation cannot be taken into account.
Research aim is to determine and test the sample reduction error formula coefcient which takes into account the quality of performers work at sampling.
Research methodology. For experimental evaluation of performance quality, gold and silver side-by-side assays of gold concentrate in two independent laboratories were carried out, which allow determining the repeatability error by duplicate analysis. The comparison was carried out of the two laboratories’ work on random repeatability errors determination.
Results. It has been proposed to use the coefcient of the performer’s work quality when calculating random errors of samples preparation for analysis. Coefcient’s application is shown by the example of gold-bearing product preparation circuit design.
Conclusions. The formula which calculates the error of mass-reduction caused by the reduction of sample mass describes the procedure of ideal reduction until the quality of the performer’s work is taken into consideration. When calculating and analyzing sample preparation circuits (including weighted samples collection for analysis), the error should be taken into account, which is introduced due to the imperfect process by the performer. The ratio of reproducibility error to repeatability error in analysis procedures produces the coefcient of imperfection of performing the operation of weighted samples collection for analysis from the package, which is 1.1–1.6 for noble metal ore, and 1.2–1.4 for nonferrous metal ore. Experimental determination of sample preparation errors and their comparison with expected values make it possible to estimate the quality of laboratories’ work and take measures to improve their work.

Key words: reproducibility; repeatability; random error; samples preparation for analysis; coefcient of performance.


REFERENCES

  1. Karpenko N. V. Concentrates sampling and quality control. Moscow: Nedra Publishing; 1987. (In Russ.)
  2. Komlev A. S. The conditions of reliable determination of valuable component mass fraction in mineral processing products. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal = News of the Higher Institutions. Mining Journal. 2019; 5: 63–74. (In Russ.)
  3. Ralph J. Holmes. The importance of sampling in resource defnition, process control, metallurgical accounting and sales of mineral products. In: XXVIII International Mineral Processing Congress Proceedings, Australia, 2016. P. 1–15.
  4. Kozin V. Z. Mineral sampling. Ekaterinburg: UrSMU Publishing; 2011. (In Russ.)
  5. Stephane Brochot. Sampling within fre assay and screen fre assay. Sampling Conference, Australia, 2012. P. 1–16. Available from: http//procsim.ru/papers/Caspeo-SC_2012-Sampling_within_fre_assay_and_screen_fre_assay.pdf
  6. Lyman G. J., Robertson I. G. and Day T. The simple facts about sampling gold ores. 13th Ausimm mill operators conference, Perth, WA, 10–12 October, 2016. P. 1–14.
  7. Kozin V. Z., Komlev A. S., Volkov P. S., Stupakova E. V. Defning random errors of ore and concentrates samples preparation and analysis. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal = News of the Higher Institutions. Mining Journal. 2018; 5: 82–86. (In Russ.)
  8. Kozin V. Z. Mineral sampling at dressing mills. Ekaterinburg: UrSMU Publishing; 2018. (In Russ.)
  9. Stupakova E. V. Measuring errors in the compositional reference materials of gold ore. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal = News of the Higher Institutions. Mining Journal. 2019; 6: 81–89. (In Russ.)
  10. Jean Pauwels, Andree Lamberty, Heinz Schimmel. Homogeneity testing of reference materials. Accred Qual Assur, Springer-Verlag. 1998; 3: 51–55.
  11. Thomas P. J. et. al. Homogeneity and stability of reference materials. Accred Qual Assur, Springer-Verlag. 2001; 6: 20–25.
  12. Brand N. W. Gold Homogeneity in Certifed Reference Materials; A Comparison of Five Manufacturers. Explore. 2015; 169: 1–24.

Received 4 September 2019

 

УДК 622.342.1 DOI: 10.21440/0536-1028-2019-8-88-96 Download

Семенов А. Н., Серый Р. С. Исследование процессов дезинтеграции труднопромывистых песков россыпных месторождений золота // Известия вузов. Горный журнал. 2019. № 8. С. 88–96. DOI: 10.21440/0536-1028-2019-8-88-96

АННОТАЦИЯ

Введение. Перспективным направлением пополнения сырьевой базы россыпной золотодобычи может стать вовлечение в эксплуатацию месторождений с высоким содержанием глины. Важной научно-практической задачей при этом является решение проблемы повышения качества подготовки песков к обогащению за счет качественной дезинтеграции. Решение проблемы требует не только создания более эффективных аппаратов для дезинтеграции глинистых песков, но и изучения гранулометрии песков, оценки их физико-механических свойств, вещественного состава минеральной горной массы. Состав труднопромывистых песков Дальнего Востока показывает, что содержание глины в них изменяется в широких пределах и может достигать 60 % и более. Анализ существующих способов дезинтеграции песков месторождений показывает, что использование традиционных способов подготовки породы к обогащению не позволит в полном объеме решить проблему переработки высокоглинистых россыпей.
Цель работы. Разработка схемы переработки высокоглинистых песков с применением высоконапорного гидродинамического дезинтегратора, в работе которого использован эффект гидродинамической кавитации.
Методика исследований. Выполнены эксперименты по переработке высокоглинистых песков на лабораторной дезинтегрирующей установке с различными активаторами кавитации.
Результаты. В ходе проведения исследования разработана и предложена к практической реализации конструкция установки для дезинтеграции высокоглинистых песков, позволяющая сократить потери золота при обогащении высокоглинистых песков на шлюзовых промывочных приборах, а также вовлекать в отработку россыпные месторождения с высоким содержанием глины, отработка которых ранее считалась нерентабельной. Использование данной технологической схемы позволит перейти от двухстадийной технологии переработки россыпей к одностадийной, включив в единый технологический процесс переработку песков и эфелей, исключив затраты на переработку техногенных песков россыпных месторождений золота.

Ключевые слова: россыпное месторождение золота; высокоглинистые пески; дезинтеграция; кавитация; гидродинамический дезинтегратор.

 

БИБЛИОГРАФИЧЕСКИЙ СПИСОК

  1. Мирзеханов Г. С., Литвинцев В. С. Состояние и проблемы освоения техногенных россыпных месторождений благородных металлов в Дальневосточном регионе // Горный журнал. 2018. № 10. С. 25–30. DOI: 10.17580/gzh.2018.10.04
  2. Мирзеханов Г. С., Мирзеханова З. Г. Ресурсный потенциал техногенных образований россыпных месторождений золота. М.: МАКС Пресс, 2013. 288 с.
  3. Litvintsev V. S., Sas P. P. Current state and main directions of innovative development of placer gold mining in Far East Federal District // E3S Web of Conferences. 2018. Vol. 56. DOI: 10.1051/ e3sconf/20185604004
  4. Litvitsev V. S., Alexeev V. S., Kradenykh I. A. The technology of development of residue objects of precious metals placer deposits // E3S Web of Conferences. 2018. Vol. 56. DOI: 10.1051/ e3sconf/20185601005
  5. MacFarlane K. E., Nordling M. G. Yukon Exploration and Geology Overview 2013. Whitehorse, Canada (Yukon Geological Survey), 2014. 80 p.
  6. Oberthuer T., Melcher F., Weiser T. W. Detrital platinum-group minerals and gold in placers of southeastern Samar Island, Philippines // Canadian Mineralogist. 2017. Vol. 55(3). P. 45–62.
  7. Серый Р. С., Нечаев В. В. О необходимости комплексного подхода к решению вопроса дезинтеграции труднопромывистых песков россыпей // ГИАБ. 2009. Отд. вып. 4. Дальний Восток-1. С. 268–274.
  8. Хныкин В. Ф Перспективы разработки труднопромывистых высокоглинистых россыпных месторождений золота // Горный журнал. 1995. № 11. С. 26–31.
  9. Белобородов В. И., Федотов К. В., Романенко А. А. Обогащение золотосодержащих песков с высоким содержанием глинистых // Горный журнал. 1995. № 5. С. 12–18.
  10. Кисляков В. Е., Карепанов А. В., Семенов А. Н. Результаты исследований подготовки глинистых песков к гравитационному обогащению // Гравитационные методы обогащения. Современное обогатительное оборудование и новые технологии для переработки минерального сырья. Материалы 2-й науч.- техн. конф., посвященной 100-летию завода «Труд». Новосибирск: Сибпринт, 2005. С. 87–89.
  11. Левковский Ю. Л. Структура кавитационных течений. Л.: Судостроение, 1978. 222 с.
  12. Кисляков В. Е., Карепанов А. В., Семенов А. Н. Исследования эффективности промывки глинистых песков // Современные технологии освоения минеральных ресурсов: сб. науч. трудов. Красноярск: ГАЦМиЗ, 2004. С. 354–362.
  13. Карепанов А. В., Семенов А. Н. Исследования разупрочнения глины с использованием гидродинамической кавитации // Современные технологии освоения минеральных ресурсов: сб. науч. трудов. Красноярск: ГАЦМиЗ, 2005. С. 190–194.

Поступила в редакцию 7 мая 2019 года

 

Podkorytov V. N., Mochalova L. A. Analysis of commodity prices impact on the manageability of market capitalization of an oil and gas company. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal = News of the Higher Institutions. Mining Journal. 2019; 7: 122–131 (In Russ.). DOI: 10.21440/0536-1028-2019-7-122-131

Research aim. The research is focused on the analysis of commodity prices impact on the manageability of company’s market capitalization by the example of the largest public joint stock companies of oil and gas producing industry abundant at the national stock market. Research object is prices for commodity (oil and natural gas) and stock prices of PJSC Gazprom, PAO Novatek, PJSC Rosneft, PJSC LUKOIL, PJSC Tatneft, PJSC Surgutneftegas. Research methodology and tools. Within the framework of the regression analysis carried out by the authors, the price of 1 barrel of oil and 1 Mmbtu of natural gas were accepted as a factor indicator (closing monthly futures) expressed in US dollars. The price of 1 stock item of an oil and gas company (monthly closing prices) expressed in US dollars.
Results. The regression analysis has shown the following. Firstly, there is some dependence between oil and gas companies stock prices and oil prices, with other external and internal cost factors the given connection is rather strong for several enterprises. Secondly, dependence between stock prices of gas producing companies and prices for natural gas is unobvious which is probably connected with speculative short term spikes in the stock market and results in the need to use monthly median prices. Thirdly, PJSC Surgutneftegas stock prices independence from commodity prices may indicate that attracting investment by means of securities realization in the stock market is not a priority task. Scope of research. Research results may be used by the investors willing to invest in shares of oil and gas companies and by these companies’ managers when controlling their cost.
Summary. The outcome of the research is the following. Firstly, oil and gas companies differ and require not general, but individual approach to cost factor models development. Secondly, when calculating, the use of only one cost factor is not very reasonable, therefore multifactor regression model development is required when managing the cost of a company.

Key words: oil and gas company; company’s market capitalization; price for oil; price for natural gas; price for a stock item; cost factors; company’s cost management.

 

REFERENCES

  1. Podkorytov V. N., Mochalova L. A. Market capitalization of the largest enterprises of Russian mineral resources sector in the conditions of a resource export economic model. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal = News of the Higher Institutions. Mining Journal. 2019; 1: 87–94. DOI: 10.21440/0536-1028-2019-1-87-942.
  2. Sergeev I. B. et al. Cost management of investment projects in mineral prospecting and extraction. Ufa: Neftegazovoe delo; 2017. (In Russ.)
  3. Kononykhin M. A. Mining company cost management in the conditions of commodity price high variability. In: Problems of subsoil exploration in the 20th century as seen by the eyes of young scientists: proceedings of the 7th international scientific conference for young scientists and professionals dedicated to the Year of Russia in France and the Year of France in Russia. Moscow: IPKIN RAS Publishing; 2010. p. 482–484. (In Russ.)
  4. Karlina E. P., Tarasova A. N. Value analysis as a method of increasing the efficiency of business processes of oil companies. Vestnik Astrakhanskogo gosudarstvennogo tekhnicheskogo universiteta. Seriia: Ekonomika = Bulletin of Astrakhan state Technical University. Economics. 2018; 4: 36–44. (In Russ.)
  5. Tishko R. V. Analysis of Russian public companies' market capitalization factors in the post-crisis period. Naukovedenie = Science Studies. 2016; 8 (5, 36): 62. (In Russ.)
  6. Petrushina A. A. Analysis of market capitalization and fair market value of the business. Molodezhnyi nauchnyi vestnik = Youth Science Bulletin. 2017; 11 (24): 234–238. (In Russ.)
  7. Patraev G. V. Significant influence of market factors on the company’s capitalization. In: Science, innovations, technologies and education: proceeding of international science to practice conference. Saratov: SSAU named after N. I. Vavilov Publishing; 2017. p. 338–341. (In Russ.)
  8. Kulikov V. S., Babakhaniants A. A. Factors of company market capitalization. Sovremennye ekonomicheskie i informatsionnye tekhnologii = Modern Economic and Information Technologies. 2018; 2: 31–36. (In Russ.)
  9. Shimko O. V. The dynamics of capitalization of oil and gas sector after the global financial crisis. Ekonomika i predprinimatelstvo = Journal of Economy and Enterpreneurship. 2016; 7(72): 559–564. (In Russ.)
  10. Investing. Available from: www.investing.com [Accessed 1st July 2019] (In Russ.)
  11. Apergis N., Ewing B. T., Payne J. E. A time series analysis of oil production, rig count and crude oil price: Evidence from six US oil producing regions. Energy. 2016; (97): 339–349. DOI: 10.1016/j. energy.2015.12.028
  12. Dong G., Chen P. A review of the evaluation methods and control technologies for trapped annular pressure in deepwater oil and gas wells. Journal of Natural Gas Science and Engineering. 2017; (37): 85–105. DOI: 10.1016/j.jngse.2016.11.042
  13. Ewing B. T., Thompson M. A. The role of reserves and production in the market capitalization of oil and gas companies. Energy Policy. 2016; (98): 576–581. DOI: 10.1016/j.enpol.2016.09.036
  14. Castaneda L. C., Munoz J. A. D., Ancheyta J. Current situation of emerging technologies for up grading of heavy oils. Catalysis Today. 2014; (220): 248–273. DOI: 10.1016/j.cattod.2013.05.016
  15. Dayanandan A., Donker H. Oil prices and accounting profits of oil and gas companies. International Review of Financial Analysis. 2011; 20(5): 252–257. DOI: 10.1016/j.irfa.2011.05.004
  16. Diachkov I. V. The study of oil companies’ stock dynamics depending on oil prices. Vestnik sovremennykh issledovanii = Bulletin of Modern Research. 2018; 5 (4, 20): 115–121. (In Russ.)
  17. Lipatnikov V. S., Kirsanova K. A. Assessment of the Impact of the Adverse Economic Geopolitical Environment on the Worth of Russian Oil and Gas Companies. Upravlencheskie nauki = Management Science. 2018; 8 (2): 30–43. (In Russ.)
  18. Belova T. A. Econometric analysis of the dependence between the company’s stock pricing dynamics and dollar exchange rate and oil prices. In: Innovation development of Russian economy. Moscow: Plekhanov RUE Publishing; Russian Scientific Fund for the Humanities; 2016. p. 223–224. (In Russ.)
  19. Rajesh Kumar, Sujit K Sukumaran. Value drivers in Oil Companies: An Application of Variance Based Structure Equation Model. Contemporary Management Research. March 2017; 13 (1): 31–52. DOI:10.7903/cmr.16165
  20. Rim Ayari. Impact of Corporate Governance on Value Creation and Corporate Productivity: Evidence from Tunisian Context. Research Gate. February 2018. DOI: 10.5539/ijef.v10n3p215

 

Received 18 July 2019

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