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Date submitted2023-08-14
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Date accepted2023-12-27
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Date published2024-12-25
Modelling of compositional gradient for reservoir fluid in a gas condensate deposit with account for scattered liquid hydrocarbons
In oil and gas reservoirs with significant hydrocarbon columns the dependency of the initial hydrocarbon composition on depth – the compositional gradient – is an important factor in assessing the initial amounts of components in place, the position of the gas-oil contact, and variations of fluid properties throughout the reservoir volume. Known models of the compositional gradient are based on thermodynamic relations assuming a quasi-equilibrium state of a multi-component hydrodynamically connected hydrocarbon system in the gravity field, taking into account the influence of the natural geothermal gradient. The corresponding algorithms allow for calculation of changes in pressure and hydrocarbon fluid composition with depth, including determination of the gas-oil contact (GOC) position. Above and below the GOC, the fluid state is considered single-phase. Many oil-gas-condensate reservoirs typically have a small initial fraction of the liquid hydrocarbon phase (LHC) – scattered oil – within the gas-saturated part of the reservoir. To account for this phenomenon, a special modification of the thermodynamic model has been proposed, and an algorithm for calculating the compositional gradient in a gas condensate reservoir with the presence of LHC has been implemented. Simulation cases modelling the characteristic compositions and conditions of three real oil-gas-condensate fields are considered. The results of the calculations using the proposed algorithm show peculiarities of variations of the LHC content and its impact on the distribution of gas condensate mixture composition with depth. The presence of LHC leads to an increase in the level and possible change in the type of the fluid contact. The character of the LHC fraction dependency on depth can be different and is governed by the dissolution of light components in the saturated liquid phase. The composition of the LHC in the gas condensate part of the reservoir changes with depth differently than in the oil zone, where the liquid phase is undersaturated with light hydrocarbons. The results of the study are significant for assessing initial amounts of hydrocarbon components and potential efficiency of their recovery in gas condensate and oil-gas-condensate reservoirs with large hydrocarbon columns.
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Date submitted2022-05-11
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Date accepted2023-02-20
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Date published2023-08-28
Application of the support vector machine for processing the results of tin ores enrichment by the centrifugal concentration method
The relevance of the research is due to the acquisition of new knowledge about the features of the applicability of the support vector machine, related to machine learning tools, for solving problems of mathematical modeling of mining and processing equipment. The purpose of the research is a statistical analysis of the results of semi-industrial tests of the Knelson CVD technology on tin raw materials using the support vector machine method and the development of mathematical models suitable for further optimization of the technological parameters of the equipment. The objects of research were the products obtained as a result of the operation of hydro-cyclones, as well as the technological parameters of the operation of centrifugal concentrators. The work uses classical methods of mathematical statistics, the least squares method for constructing a linear regression model, the support vector machine implemented on the basis of the Scikit-learn library, as well as the method of verifying the resulting models based on the ShuffleSplit library. A general description of the process of testing the Knelson concentrator with continuous controlled unloading in relation to the enrichment of tin ores is presented. The results obtained were processed using the support vector machine. Regression models are obtained in the form of polynomials of the second degree and in the form of radial basis functions. A significant non-linearity is shown in the dependence between the content of the valuable component in the tailings and the values of the technological parameters of the apparatus.
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Date submitted2022-01-21
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Date accepted2022-11-14
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Date published2023-08-28
Strategy of mine ventilation control in optimal mode using fuzzy logic controllers
- Authors:
- Aleksei V. Kashnikov
- Yuri V. Kruglov
The issues related to improving the efficiency of automatic ventilation control systems of mines that regulate the air supply to the mine in accordance with the need are considered. During the tests of such a system in the 3RU mine of OAO Belaruskali, the shortcomings of its existing, implementation, associated with the incorrect choice of the most difficult-to-ventilate direction, were revealed. The possibilities of implementing a control strategy, in which the system automatically determines the optimal configuration of the operating modes of fans and regulators, are demonstrated. As an alternative to the implemented algorithms, it is proposed to use a fuzzy control device to account for the nonlinearity of the dependence of the input and output parameters of ventilation equipment and to set the conditions for the optimal operating mode of the system in a declarative form. To assess the effectiveness of the proposed approach, the data of simulation modeling of the current ventilation mode and the transition from one ventilation mode to another are analyzed with comparison with the actual data of the system operation. The simulation results show that the use of an upgraded control scheme for the main ventilation fan based on fuzzy logic in the implementation of automatic ventilation control systems makes it possible to eliminate the possibility of a shortage of fresh air in the regulated directions of its movement, as well as excessive power consumption of the main ventilation fan.
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Date submitted2022-07-15
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Date accepted2022-12-13
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Date published2023-02-27
Assessment of the efficiency of occupational safety culture management in fuel and energy companies
The results of development, testing and implementation of the process of occupational safety culture management in a fuel and energy company including the assessment of current state, assessment of deviation, formation of control action and its implementation are presented. Using the methods of mathematical analysis, the components of occupational safety culture and criteria for their evaluation were developed. As a control action, a procedure for conducting behavioural safety audit was elaborated and implemented. Proceeding from the results of analysing average ratings of safety culture components among the employees prior to and after the introduction of behavioural safety audit, it was concluded that there was a statistically significant increase in the average values of 12 out of 16 ratings of safety culture components. Analysis of the results of 1,011 audits showed the absence of an “alarm area” at the enterprise. Introduction of the developed process management model promotes an increase in the efficiency of attaining a high level of occupational safety culture in fuel and energy companies.
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Date submitted2022-09-30
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Date accepted2022-11-28
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Date published2022-12-29
Intelligent monitoring of the condition of hydrocarbon pipeline transport facilities using neural network technologies
The national strategic goal of the Russian Federation is to ensure the safety of critical technologies and sectors, which are important for the development of the country's oil and gas industry. The article deals with development of national technology for intelligent monitoring of the condition of industrial facilities for transport and storage of oil and gas. The concept of modern monitoring and safety control system is developed focusing on a comprehensive engineering control using integrated automated control systems to ensure the intelligent methodological support for import-substituting technologies. A set of approved algorithms for monitoring and control of the processes and condition of engineering systems is proposed using modular control robotic complexes. Original intelligent models were developed for safety monitoring and classification of technogenic events and conditions. As an example, algorithms for monitoring the intelligent safety criterion for the facilities and processes of pipeline transport of hydrocarbons are presented. The research considers the requirements of federal laws and the needs of the industry.
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Date submitted2021-09-17
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Date accepted2022-04-07
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Date published2022-12-29
Technique for calculating technological parameters of non-Newtonian liquids injection into oil well during workover
Technique for automated calculation of technological parameters for non-Newtonian liquids injection into a well during workover is presented. At the first stage the algorithm processes initial flow or viscosity curve in order to determine rheological parameters and coefficients included in equations of rheological models of non-Newtonian fluids. At the second stage, based on data from the previous stage, the program calculates well design and pump operation modes, permissible values of liquid flow rate and viscosity, to prevent possible hydraulic fracturing. Based on the results of calculations and dependencies, a decision is made on the necessity of changing the technological parameters of non-Newtonian liquid injection and/or its composition (components content, chemical base) in order to prevent the violation of the technological operation, such as unintentional formation of fractures due to hydraulic fracturing. Fracturing can lead to catastrophic absorptions and, consequently, to increased consumption of technological liquids pumped into the well during workover. Furthermore, there is an increased risk of uncontrolled gas breakthrough through highly conductive channels.
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Date submitted2020-07-29
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Date accepted2021-03-30
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Date published2021-06-24
Model of baddeleyite recovery from dump products of an apatite-baddeleyite processing plant using a CVD6 concentrator
The paper is devoted to developing a model of baddeleyite recovery from dump products of an apatite-baddeleyite processing plant using centrifugal concentrators. The relevance of the work arises from the acquisition of new knowledge on the optimization of technological parameters of centrifugal concentrators using Knelson CVD (continuous variable discharge) technology – in particular, setting the frequency of valve opening and the duration of valves remaining open. The purpose of the research was to assess the applicability of CVD technology in the treatment of various dump products of the processing plant and to build a model of dependencies between the concentrate and tailings yields and the adjustable parameters, which will allow to perform preliminary calculations of the efficiency of implementing this technology at processing plants. The research objects are middling and main separation tailings of the coarse-grained stream and combined product of main and recleaner separation tailings of the fine-grained stream. The study uses general methods of mathematical statistics: methods of regression analysis, aimed at building statistically significant models, describing dependence of a particular variable on a set of regressors; group method of data handling, the main idea of which is to build a set of models of a given class and choose the optimal one among them. Authors proposed an algorithm for processing experiment results based on classical regression analysis and formulated an original criterion for model selection. Models of dependencies between the concentrate and tailings yields and the adjustable parameters were built, which allowed to establish a relationship between the concentrate yield and the valve opening time, as well as a relationship between the tailings yield and the G-force of the installation.
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Date submitted2019-06-22
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Date accepted2019-09-11
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Date published2020-04-24
Effective capacity building by empowerment teaching in the field of occupational safety and health management in mining
The paper is dealing with a developed concept named Empowerment Teaching, which is based on practical teaching experience gained in various mining universities. It is demonstrated that this concept can be used to increase the effectiveness of knowledge transfer to mining countries in the world, as well as to overcome cultural barriers between lecturers and their students. The two models of participatory training, which are proposed to be named “physical” and “emotional” models, are portrayed. The authors are convinced that participatory training methods can be an ideal answer to a challenge associated with workers’ competencies in mining, namely – the potential of highly motivated and well-educated young academics is often diminished by a lack of ability to apply their knowledge. A special emphasis is made on the possible application of empowerment teaching for educational and training activities in the field of occupational safety and health (OSH), which is a matter of utmost importance for the mining industry. Several benchmarking initiatives in the field of OSH (“safety culture”, zero-accident vision) are underlined to be encouraged and promoted by means of new teaching methods. The examples of successful international cooperation among universities are given, as well.
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Date submitted2019-03-31
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Date accepted2019-08-25
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Date published2020-02-25
Cascade frequency converters control features
The structures of systems with high-voltage cascade frequency converters containing multi-winding transformers and low-voltage low-power converters connected in series at each output phase of the load are considered. Low-voltage blocks contain three-phase diode or active rectifiers, DC capacitor filters, single-phase stand-alone voltage inverters and block disconnecting devices in partial modes (in case of failure when part of the blocks are disconnected). The possibilities of operation of cascade converters are determined, equations for correcting tasks to units in partial modes are given, tables of correction of tasks with estimates of achievable load characteristics are proposed. The results of experiments on the model of a powerful installation with a cascade frequency converter are presented, confirming the possibility of ensuring the symmetry of the load currents when disconnecting part of the blocks and the asymmetry of the circuit.
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Date submitted2018-11-13
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Date accepted2019-01-23
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Date published2019-04-23
Application of automation systems for monitoring and energy efficiency accounting indicators of mining enterprises compressor facility operation
- Authors:
- A. V. Ugolnikov
- N. V. Makarov
The balance of electricity consumption a significant part is occupied by the production of compressed air at the mining enterprises. Many compressor stations of enterprises are equipped with automated parameter management systems that allow reliable, uninterrupted and safe operation of the compressor facilities. But the majority of automation systems at compressor stations do not perform the function of monitoring the energy efficiency indicators of the operation of a compressor station. The article discusses the issue of including compressed air flow sensors (flow meters) in an automated control system of a compressor station, which allows you to control the production of compressed air and the consumption of electrical energy for its production. Monitoring and recording of these parameters makes it possible, using microprocessor technology, to control one of the main indicators of energy efficiency – the specific energy consumption for producing one cubic meter of compressed air, determine how efficiently the compressor station works, and take appropriate measures to reduce specific energy consumption in time. . The use of additional functions of automated control and monitoring systems will allow the development and application of energy-saving measures aimed at improving the energy efficiency of the enterprise, which will lead to a reduction in the cost of finished products and increase their competitiveness
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Date submitted2015-08-18
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Date accepted2015-10-06
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Date published2016-04-22
Energy- efficient control of asynchronous motor drive with current refinement of the loss minimum on the basis of fuzzy logic
- Authors:
- O. B. Shonin
- V. S. Pronko
Currently, asynchronous electric drive on the basis of semiconductor frequency converters is widespread because of the relative simplicity and reliability of the design, the use of digital control systems, providing the accuracy and flexibility of process control, which allows for a significant increase in product quality, reduction in energy consumption and improvement of the enterprise profitability. In spite of these advantages, the problem of ensuring high energy efficiency of the drive in wide range of its operational modes is still not solved in full scale. The paper is devoted to the reduction of losses in the asynchronous drive on the basis of en-ergy-saving control algorithms that aim to ensure the desired mode of the driven mechanism while minimizing losses in copper and steel of the motor. On the basis of the motor model, taking into account magnetic losses, dependences of losses in the copper and steel, as well as the total loss from the absolute slip have been derived for different operating points of the drive. The optimal values of the absolute slip for different speeds of the rotor have been obtained for use in the con-trollers ensuring operation of the drive at maximum efficiency, highest power factor and minimum of the stator current. For minimizing the losses in the drive when changing the motor parameters it has been offered the combined method based on the method of loss model and iterative method of searching the minimum of power consumption. The effectiveness of the proposed control system using fuzzy logic is confirmed by comparing the graphs of losses and efficiency, obtained at using a traditional control law and the optimal control law.
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Date submitted2014-12-27
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Date accepted2015-03-01
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Date published2015-12-25
Minimization of energy losse when starting a variable frequency drive through application of a genetic algorithm of optimization
- Authors:
- O. B. Shonin
- V. S. Pronko
In the face of energy lack and rising energy prices one of the priorities of current researches is to improve energy efficiency of electric drives, which are widely used in modern industrial plants. Existing methods of minimizing losses are mainly designed for stationary regimes. At the same time, the development of algorithms for reducing losses in transient and in particular starting conditions is given little attention. Due to the high complexity of the description of the multivari-ate dynamic processes determining the optimal control laws is advantageously to be carried out us-ing stochastic optimization methods. The work seeks to substantiate the optimal starting character-istics of an asynchronous drive based on a genetic algorithm. A feature of the proposed method of optimization is the use of multiple simulation experiments to find start-up characteristics which provide a minimum energy loss. Automation of the search is performed using the developed pro-gram, which includes a module of a genetic algorithm and a module for interfacing with the elec-tric model in the MATLAB/Simulink environment. The program allows choosing the parameters of the genetic algorithm along with controlling the process of optimization. Application of the proposed method allowed obtaining the optimal starting characteristics «voltage – frequency» in a tabular form with consequent linear approximation of the data. Increase in efficiency due to the proposed start up law has been confirmed by comparing the simulation re-sults under conditions of using a traditional linear characteristic and derived optimal law. The es-timation of losses reduction has been carried out at the drive load of different kind in a wide range of its variation.
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Date submitted2014-10-15
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Date accepted2014-12-30
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Date published2015-08-25
Method of controlling the temperature field on the basis of the Green's function
- Authors:
- Yu. V. Ilyushin
- I. M. Pershin
At the present stage of development of automatic control systems raises the question of maintaining the set temperature objects. The authors developed MetO-wild synthesis of nonlinear regulators to stabilize the temperature field, a uniform object of management on the basis of a given error. We obtained a function of the initial heating and the mathematical modeling of the process, analyzed the results. By creating a regulator there has been designed software and hardware programming language Pascal, which allows to simulate the behavior of temperature fields in an isotropic web. It is a simulation of the temperature of the system in different configurations: with different amounts of pulsed heating sources with relay control principle. Practical results of the research suggest the possibility of constructing silicon carbide heating element made in the form of an isotropic core.
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Date submitted2014-09-10
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Date accepted2014-11-23
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Date published2015-06-26
Navigation and time support management systems by highly dynamic moving objects
- Authors:
- D. A. Pervukhin
- S. V. Kolesnichenko
Researched topical issues of improving the accuracy of the application of highdynamic aircraft used for the purpose of mineral exploration, environmental monitoring, security, environmental and fire safety, as well as the decisions of other special tasks. The possible variants of construction of control systems of dynamic objects on the basis of integration of traditional inertial navigation systems and user equipment of a network of satellite navigation systems. Justified some schematics, technical and constructive solutions for development of advanced navigation equip-ment of the aircraft.
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Date submitted2013-07-01
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Date accepted2013-09-13
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Date published2014-03-17
Analysis of accident and stages of effective safety management system on the example of «Vorkutaugol»
- Authors:
- E. G. Buldakova
- E. B. Gridina
The paper analyzes the time periods with significant differences on the level of technology of mining, production volumes in mines of «Vorkutaugol». The features of an integrated system of labor protection and industrial safety, realized in the merger.
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Date submitted2013-07-10
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Date accepted2013-09-14
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Date published2014-03-17
Quality management of brown coal at open-pit mine in the presence of several consumers with varios requirements to it
- Authors:
- M. M. Yakubovskii
- K. Drebenshtedt
The article considers main stages of mine planning and modern methods of quality management at open-pit coal mines in Germany. The object of research is the company «MIBRAG GmbH» producing brown coal and providing them a wide range of consumers which have dif-ferent demands to the coal’s quality.
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Date submitted2013-07-18
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Date accepted2013-09-02
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Date published2014-03-17
Rock mechanics problems decision algorithm for bottom layers of potash salt deposits
Decision algorithm for rock mechanics problems for bottom layers of potash deposits is suggested. Flow chart for the algorithm and it’s parts is shown. The algorithm represents the method to choose excavation technology for multi-layer potash deposits.
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Date submitted2010-07-12
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Date accepted2010-09-14
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Date published2011-03-21
Principles of an automatic control system of ventilation creation the kuznetsovsky railway tunnel
- Authors:
- S. G. Gendler
- V. A. Pleskunov
For effective ventilation Kuznetsovsky railway tunnel the longitudinal scheme of ventilation based on use of jet fans is offered. It is shown that use of the offered scheme of ventilation at influence of natural draft and piston effect of trains is impossible without an automatic control system of ventilation (ACSV). The principles of work ACSV taking into consideration natural and operational factors are proved.
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Date submitted2009-09-19
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Date accepted2009-11-01
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Date published2010-06-25
Innovation technologies in organizational management
- Authors:
- S. I. Sorokin
Organization is one of phenomena of our time, whereas various social organizations and intensive organizational activity have great influence on many historical processes and events. Particular attention is paid to the technologies of organizational management being a process regulator that allows optimizing organization management, raising its productiveness and improving the efficiency of organizational resources usage.
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Date submitted2009-08-24
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Date accepted2009-10-12
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Date published2010-02-01
Control system for waste treatment of metallurgical works with use of membrane methods
- Authors:
- R. D. Pavlov
In work considered application of baromembrane methods for waste treatment of metallurgical works, basic laws of baromembrane processes. On basis of adduced laws defined basic tasks of control system, mode of working and quality indexes of operation membrane complex.
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Date submitted2009-08-01
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Date accepted2009-10-08
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Date published2010-02-01
Advance of the metallurgical limestone shaft kilning process control system
- Authors:
- N. I. Koteleva
Today at management system engineering by metallurgical processes used to special methods of the control theory such as optimal, neuro-fuzzy and adaptive methods. First of all, it is connected with increase of problems complexity maintained in control process. In article possibility of application of neural networks is considered at improvement of a control system by process of mine roasting of limestone, are described the neural network scheme controls and the basic stages of its construction.
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Date submitted2008-10-20
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Date accepted2008-12-22
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Date published2009-12-11
Analytical continuation of geophysical fields by continued fractions method
- Authors:
- K. M. Ermokhin
The most close to reality geophysical field description is the approximation of the fraction-rational type. In this case the presence of poles in the lower half space corresponds adequately to the denominator zeros. This article contains the theory and algorithm of realization of this conception. The proposed method is called – Continued Fraction Continuation Method.