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Date submitted2023-08-16
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Date accepted2023-10-24
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Date published2023-10-27
Results of complex experimental studies at Vostok station in Antarctica
Scientific research in the area close to the Russian Antarctic station Vostok has been carried out since its founding on December 16, 1957. The relevance of work to study the region is steadily increasing, which is confirmed by the Strategy for the Development of Activities of the Russian Federation in the Antarctica until 2030. As part of the Strategy implementation, Saint Petersburg Mining University solves the comprehensive study issues of the Vostok station area, including the subglacial Lake Vostok, related to the development of modern technologies and technical means for drilling glaciers and underlying rocks, opening subglacial reservoirs, sampling water and bottom sediments, as well as carrying out comprehensive geological and geophysical research. For the successful implementation of the Strategy, at each stage of the work it is necessary to identify and develop interdisciplinary connections while complying with the requirements for minimizing the impact on the environment. During the season of the 68th Russian Antarctic Expedition, the staff of the Mining University, along with the current research works , began research of the dynamic interactions between the forces of the Earth, from the deepest depths to the surface glacier. Drilling and research programs have been completed. The drilling program was implemented jointly with colleagues from the Arctic and Antarctic Research Institute at the drilling complex of the 5G well. The research program included: shallow seismic studies, core drilling of snow-firn strata, study of the snow-firn strata petrostructural features, studies of cuttings collection filters effectiveness when drilling snow-firn strata and the process of ice destruction in a reciprocating rotational method, bench testing of an acoustic scanner. As a result of drilling in 5G well at the depth range of 3453.37-3534.43 m, an ice core more than 1 million years old was obtained.
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Date submitted2022-08-01
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Date accepted2022-11-17
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Date published2023-02-27
Use of machine learning technology to model the distribution of lithotypes in the Permo-Carboniferous oil deposit of the Usinskoye field
- Authors:
- Denis V. Potekhin
- Sergei V. Galkin
Permo-Carboniferous oil deposit of the Usinskoye field is characterized by an extremely complex type of the void space with intense cross-sectional distribution of cavernous and fractured rock. In this study, for this production site, the process of 3D geological modeling has been implemented. At the first stage, it provided for automated identification of reservoir volumes by comparing the data of core and well logging surveys; at the second stage, identification of rock lithotypes according to Dunham classification is performed on the basis of comparison of thin sections examination and well logging data. A large array of factual information enables the use of machine learning technology on the basis of Levenberg – Marquardt neural network apparatus toward achievement of our research goals. The prediction algorithms of reservoir and rock lithotype identification using well logging methods obtained on the basis of the training samples are applied to the wells without core sampling. The implemented approach enabled complementing the 3D geological model with information about rock permeability and porosity, taking into account the structural features of the identified lithotypes. For the Permo-Carboniferous oil deposit of the Usinskoye field, the volumetric zoning of the distribution of different rock lithotypes has been established. Taking into account the lithotypes identified based on machine learning algorithms, density and openness of fractures were determined, and fracture permeability in the deposit volume was calculated. In general, during the implementation, the machine learning errors remained within 3-5 %, which suggests reliability of the obtained predictive solutions. The results of the research are incorporated in the existing 3D digital geological and process model of the deposit under study.
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Date submitted2022-05-13
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Date accepted2022-09-24
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Date published2022-11-03
Rapid detection of coal ash based on machine learning and X-ray fluorescence
Real-time testing of coal ash plays a vital role in the chemical, power generation, metallurgical, and coal separation sectors. The rapid online testing of coal ash using radiation measurement as the mainstream technology has problems such as strict coal sample requirements, poor radiation safety, low accuracy, and complicated equipment replacement. In this study, an intelligent detection technique based on feed-forward neural networks and improved particle swarm optimization (IPSO-FNN) is proposed to predict coal quality ash content in a fast, accurate, safe，and convenient manner. The data set was obtained by testing the elemental content of 198 coal samples with X-ray fluorescence (XRF). The types of input elements for machine learning (Si, Al, Fe, K, Ca, Mg, Ti, Zn, Na, P) were determined by combining the X-ray photoelectron spectroscopy (XPS) data with the change in the physical phase of each element in the coal samples during combustion. The mean squared error and coefficient of determination were chosen as the performance measures for the model. The results show that the IPSO algorithm is useful in adjusting the optimal number of nodes in the hidden layer. The IPSO-FNN model has strong prediction ability and good accuracy in coal ash prediction. The effect of the input element content of the IPSO-FNN model on the ash content was investigated, and it was found that the potassium content was the most significant factor affecting the ash content. This study is essential for real-time online, accurate, and fast prediction of coal ash.
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Date submitted2021-03-04
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Date accepted2021-04-05
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Date published2021-06-24
Justification and selection of design parameters of the eccentric gear mechanism of the piston lubrication and filling unit for the mining machines maintenance
Piston pumps are widely used in the lubrication systems of mining machines. When carrying out technical maintenance (MOT), including lubrication and filling works, at the site of operation of mining machines due to the remoteness from repair shops and warehouses of fuels and lubricants (FAL), mobile repair shops ( MRS), maintenance units (MU) and mechanized filling units (MFU) are used. The specificity of carrying out maintenance is to create conditions for the supply of oils, working fluids and lubricants to the corresponding systems of mining machines for their refueling. Existing piston pumps and pumping units, as a rule, are single-flow, and the piston is driven by a crank mechanism driven from the engine through a worm gear. The emergence of unique, hydraulic, low-mobility mining machines in open pit mining required a significant increase in the power of the MU and MFU oil pumping units, primarily for greases. However, the traditional design of the drive design of a crank-type piston pump unit at a power of over 80 kW does not allow achieving the specified operating time, it is accompanied by intensive wear of the drive elements and increased dynamics during operation. In addition, it is necessary to apply various designs of pumping units for the supply of liquid and grease lubricants. Thus, it is necessary to develop new circuit solutions for pumping units of the crank type, to improve mobile refueling facilities with a modernized design of the pump unit drive of the mobile lubrication and filling station MRS.
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Date submitted2019-06-30
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Date accepted2019-09-07
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Date published2019-12-24
Development of Scada-model for trunk gas pipeline's compressor station
- Authors:
- Yu. V. Ilyushin
- O. V. Afanaseva
Nowadays, at all levels of created automated control systems for technological processes, programmable technical means are used that require specific software within framework of necessary functional tasks. This software should include a set of software tools that communicate with technical devices and organize «human-machine interface» (HMI) in the form of application software for AWPs with assigned communication tasks for persons, responsible for management decision-making: operators, dispatchers, managers. However, hardware architecture is unique for each particular case, so it is necessary to refine or create a new control system. This is a rather laborious process. To simplify creation of such systems SCADA-systems are used. Article is devoted to development of SCADA-component for trunk gas pipeline's compressor workshop. Developed component allows tracking the characteristics of gas transportation process selected by operator. Development is based on «Windows» operating system and integrated environment TRACE MODE (SCADA/HMI).
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Date submitted2019-03-13
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Date accepted2019-05-07
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Date published2019-08-23
Modern Mathematical Forecast Methods of Maintenance and Support Conditions for Mining Tunnel
- Authors:
- S. A. Ignatyev
- A. E. Sudarikov
- A. Zh. Imashev
The research focuses on mathematical methods of mining pressure forecast to develop rational support patterns for mining tunnels and to ensure safety of mining operations. The purpose of research is to develop the methodology of applying advanced calculation methods and software solutions based on neural networks to reduce dispersion of factors influencing stability of mining tunnels, as well as to define rational parameters of mining tunnel support. The authors review the algorithm of geomechanical process examination, which is divided into several stages. First of all, it is proposed to use cluster analysis to examine location conditions of man-made outcrops, which allows to divide all the diversity of existing conditions for mining tunnel construction. Cluster analysis first allows to reduce the dispersion of factors that influence the stability of mining tunnels in various clusters, and then to determine rational parameters of tunnel support in each cluster. After the problem of cluster analysis is solved, it is proposed to use software programs that allow to study geomechanical processes in each cluster. At this stage, both standard methods (normative techniques, numerical modelling, analogies use, etc.) and the most advanced methods – neural networks – can be applied. Described algorithm of solving geomechanical problems, which utilizes advanced numerical methods and a software package based on neural networks, ensures an individual approach to estimation of mining pressure under varying conditions of man-made outcrop location in the rock mass.
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Date submitted2017-10-29
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Date accepted2017-12-31
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Date published2018-04-24
Risk assessment of accidents due to natural factors at the Pascuales – Cuenca multiple-use pipeline (Ecuador)
- Authors:
- Dzh. Zambrano
- S. V. Kovshov
- E. A. Lyubin
The natural aspects of the accident risk at the Pascuales – Cuenca multiple-use pipeline (Ecuador) are analysed in the paper. The Russian Methodological recommendations for the quantitative analysis of accident risks at hazardous production plants of oil trunk pipelines and oil product trunk pipelines issued in 2016 are used as a methodological framework due to relatively poorly defined evaluation mechanism for natural factors of accidents at oil trunk pipelines in the most widespread international accident risk assessment methodologies. The methodological recommendations were updated to meet the environmental conditions of oil pipelines of Latin America. It was found that the accidents due to natural factors make up approximately 15 % of cases at oil trunk pipelines in Ecuador. Natural geographical features of the areas surrounding the main Ecuadorian Pascuales–Cuenca oil trunk pipeline and its relatively short length allow defining three zones along the line in terms of the accident risk: lowland coastlines, high plateaus, and foothills. Calculations and analysis revealed that the maximum predicted specific frequency of accidents is characteristic of the lowland seaside area. The evidence showed that physical and chemical properties of soils and significant seismic activity are the root causes of failures.
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Date submitted2014-06-24
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Date accepted2014-08-29
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Date published2014-12-22
Mathematical modeling of mine air conditioning in the zone of mine works
- Authors:
- A. A. Lapshin
The article addresses the topical problem of normalizing the microclimate in the deep ore mines of the Krivbas and Zaporozhsky iron ore mines. Studies of heat exchange processes in the mine workings of the deep ore mines of Krivbas and Zaporozhsky iron ore have shown considerable changes in air temperature. Moreover, as a rule, in the zone of mining works, the air temperature exceeds the permissible values of 26 °С, and at depths of 1200-1500 m reaches 28-30 °C. A method of normalization of the thermal conditions in the zone of mining works due to cooling in the irrigation chamber is presented. A mathematical model of heat exchange processes in the irrigation chamber, which allows, by simulation modeling, to establish thermal regimes corresponding to the sanitary and hygienic norms of mining operations in the conditions of deep iron ore mines, is presented.
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Date submitted2009-10-26
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Date accepted2009-12-27
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Date published2010-09-22
Support of geodynamic safety in mining of the Khibini deposits
The paper deals with the problems of geodynamics in mining of the Khibini deposits. Description is given to the complex of organizational-technical arrangements for provision of geodynamic safety at the Apatit Co and to principal trends of its development.
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Date submitted2009-09-25
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Date accepted2009-11-18
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Date published2010-06-25
Methodic aspects of development of students` creative abilities in humanity courses in technical universities
- Authors:
- O. E. Bespalova
- O. N. Bondareva
The article deals with methodic aspects of development of students` creative abilities in humanity courses in technical universities. The complementary studies promoting creative self-realization of student’s person in art and culture spheres are presented.
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Date submitted2009-07-29
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Date accepted2009-09-29
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Date published2010-04-22
State examination of mineral reserves in the system of wise utilization of the earth’s interior
- Authors:
- Yu. A. Podturkin
The major problem of bodies of the government in sphere of regulation of attitudes protection of reserves creation of conditions for rational use of resources. The basic role in its decision is played with examination protection of reserves. Maintenance of effective carrying out of examination demands its constant perfection with reference to market conditions with use of the international criteria regarding both calculation and an estimation of stocks, and drawing up design and the engineering specifications on development of mineral deposits.
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Date submitted2009-07-02
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Date accepted2009-09-30
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Date published2010-04-22
On mechanisms for improvement of mine surveying works
- Authors:
- V. V. Gritskov
The article considers the aspects concerned with the improvement of mine surveying under conditions of market relations. It is shown that the financing of the urgent problems in safe mining operations related to the utilization of the Earth's interior, is practically absent on the federal level. In this connection, the development of the federal programme «Safe Utilization of Mineral Resources and Conservation of Reserves» is a high-priority task, which should include also the aspects of geodynamic safety in mining.
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Date submitted2009-07-17
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Date accepted2009-09-22
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Date published2010-04-22
MINEFRAME is the modern tool for mining maintenance
- Authors:
- L. S. Lomako
- G. G. Korol
Today an automation of the basic technological processes in production is successfully introduced into various sectors of the national economy, including in mining practice. One of the modern software products intended for automated planning, designing and support of works at the mining enterprises, is integrated package – MINEFRAME which is put in industrial operation.
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Date submitted2008-10-29
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Date accepted2008-12-06
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Date published2009-12-11
Data collection and processing system of low-frequency electrical method with artificial source
- Authors:
- A. I. Geraskin
Review of the basic components of elaborating system is presented. The basic trends of application of these components and software products created on their basis are shown. The concept of a processing graph is entered and shown its dynamic features. Specific examples of the successful practical application of the system are considered.