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2018/3
Calculation methods to evaluate physical and thermodynamical properties of natural gas. Method of disintegrating incomplete component composition of natural gas into equivalent component composition
Technical sciences

Authors: Alexandr A. ALEKSANOCHKIN graduated from Bauman Moscow State Technical University in 1998. He is Deputy Head of Dispatch Service of Gazprom Transgaz Moscow. E-mail: alexanochkin@gtm.gazprom.ru
Sergey A. SARDANASHVILI graduated from Moscow Institute of Petrochemical and Gas Industry in 1976. He is Doctor of Technical Sciences, Associate Professor, Head of Department of Design and Operation of Gas and Oil Pipelines of Gubkin Russian State University of Oil and Gas (National Research University). Specialists in the field of computer dispatcher decision-support systems for oil and gas industry. Author of more than 50 scientific papers. E-mail: sardanashvili.s@gubkin.ru

Abstract: The task of adequate evaluation of physical and thermodynamical properties of natural gas in presence of native data on incomplete component composition (in the absence of data on component composition) is solved. Possible solutions are formulated. The investigation of experimental data on component composition of natural gas to identify specific balance of higher hydrocarbons is given. A new calculation method of disintegrating incomplete component composition of natural gas to equivalent component composition for the purpose of further use of calculation methods in existence of evaluation of physical and thermodynamical properties of natural gas on the basis of information about the component composition in computer models, computation of regimes and technological tasks of pipeline gas transport is suggested

Index UDK: 662.76

Keywords: natural gas, methods of determination of physical and thermodynamic properties, characteristic ratios of highest hydrocarbons, equivalent hydrocarbon, equivalent component composition

Bibliography:
1. ISO 20765-2:2015. Natural gas — Calculation of thermodynamic properties. Part 2: Single-phase properties (gas, liquid, and dense fluid) for extended ranges of application, 2015, 68 р.
2. GOST 30319.0-96. Natural gas. Methods of calculation of physical properties. General. Moscow, IPK Izdatel’stvo Standartov, 1997, 32 p.
3. GOST 30319.1-96. Natural gas. Natural gas. Methods of calculation of physical properties. Definition of physical properties of natural gas, its components and processing products. Moscow, IPK Izdatel’stvo Standartov, 1997, 16 p.
4. GOST 30319.2-96. Natural gas. Methods of calculation of physical properties. Definition of compressibility coefficient. Moscow, IPK Izdatel’stvo Standartov, 1997, 54 p.
5. GOST R 8.662-2009. Natural gas. Gas phase thermodynamic properties. Methods of calculation for transmission and distribution applications on base of the AGA8 fundamental equation of state. Moscow, Standartinform, 2010, 40 p.
6. GOST R 8.769-2011 (ИСО 12213-3:2006). Natural gas. Compression factor of gas phase. Method of calculation based on gas physical properties. Moscow, Standartinform, 2013, 32 p.
7. ONTP 51-1-85. National Engineering Design Standards. Trunk Pipelines. Moscow, VNIIGazprom, 1986.
8. STO Gazprom 2-3.5-051-2006. Technological design standards of main gas pipelines. Moscow, VNIIGaz, 2006, 196 p.
9. Volkov M.M., Mikheev A.L., Kornev K.A., The reference book of a worker in the gas indu- stry. 2 ed. Moscow, Nedra, 1989, 286 p.

2017/2
Mathematical model of computer simulator for trunk oil pipeline dispatchers
Technical sciences

Authors: Ayrat R. KHALIULLIN is assistant lecturer of the Department of Design and Operation of Gas and Oil Pipeline Gubkin Russian State University of Oil and Gas (National Research University). He is author of 10 academic papers. The area of his professional interests includes software for gas and oil computer decision support systems, computer simulators, distributed software. Е-mail: khaliullin.a@gubkin.ru
Yuri P. STEPIN is Doctor of Engineering, Academician of Russian Academy of Natural Sciences, international engineering high school teacher, Professor of the Department of Automated Control Systems of Gubkin Russian State University of Oil and Gas (National Research University). He is author of more than 120 academic papers. His professional interests are Markov processes, multiobjective optimization, fuzzy logic, game theory, computer decision support systems, risk-management models, automated control systems design. Е-mail: stepin.y@gubkin.ru
Sergey A. SARDANASHVILI is Doctor of Engineering, associate professor, Head of Department of Design and Operation of Gas and Oil Pipeline Gubkin Russian State University of Oil and Gas (National Research University). He is author of more than 50 academic papers. His professional interests include gas and oil computer decision support systems, mathematical and methodical support for programming and computing suites and simulator complexes. Е-mail: sardanashvili.s@gubkin.ru

Abstract: The problem of mathematical modeling of computer simulator as a multicomponent realization of VPTE concept with components installed on remote computers in a network is discussed. The simulator complex is represented as a set of cooperative Markov processes with discrete states and continuous time. A random processes interaction scheme is formed, the states of processes are detailed; differential equations systems, initial conditions, normalization conditions and relations between equation solutions are made up. In addition, the article describes computer simulator operating modes, for each mode it determines evaluation of the complex functioning reliability index i.e. the availability factor. In collaboration with UML-diagrams, the mathematical functioning model of the computer simulator provides a possibility to describe its working process, to evaluate the parameters of the underlying Markov processes and to estimate the availability factor value.

Index UDK: 004.415.2; 51-74

Keywords: virtual professional training environment, computer simulator, mathematical model, Markov process, availability factor

Bibliography:
1. Fowler M. UML Distilled A Brief Guide to the Standard Object Modeling Language, 3rd Edition. Addison-Wesley Professional, 2003, 208 p.
2. Papilina T.M., Leonov D.G., Stepin Ju.P. Modelirovanie i ocenka jeffektivnosti funkcionirovanija sistemy oblachnyh vychislenij v ASDU. Avtomatizacija, telemehanizacija i svjaz’ v neftjanoj promyshlennosti, 2016, no. 7, p. 29-33 (in Russian).
3. Handzhjan A.O. Povyshenie nadezhnosti programmnogo obespechenija informacionno-izme-ritel’nyh i upravljajushhih sistem bezopasnosti jadernyh radiacionno-opasnyh ob’ektov. Dissertacija na soiskanie uchenoj stepeni kandidata tehnicheskih nauk, Moskva, 2006 (in Russian).
4. Khaliullin A.R., Shvechkov V.A., Leonov D.G. Organizacija vzaimodejstvija programmnyh komponentov mnogopol’zovatel’skih geterogennyh raspredelennyh kompleksov modelirovanija dina-micheskih processov truboprovodnyh sistem. Trudy XIV Vserossijskogo nauchnogo seminara „Matematicheskie modeli i metody analiza i optimal’nogo sinteza razvivajushhihsja truboprovodnyh i gid-ravlicheskih sistem”. Belokuriha, Altajskij kraj, 8-13 sentjabrja 2014 g. Irkutsk: ISJeM SO RAN, 2014, p. 410 (in Russian).
5. Khaliullin A.R. Arhitekturnye reshenija i opytnaja realizacija informacionnogo obmena komponentov geterogennyh raspredelennyh kompleksov modelirovanija dinamicheskih processov truboprovodnyh system. Avtomatizacija, telemehanizacija i svjaz’ v neftjanoj promyshlennosti, 2016, no. 8, p. 17-24 (in Russian).
6. Khaliullin A.R., Shvechkov V.A., Sardanashvili S.A. Arhitekturnye reshenija realizacii upravlenija komponentami raspredelennyh kompleksov podderzhki prinjatija dispetcherskih reshenij. Trudy Rossijskogo gosudarstvennogo universiteta nefti i gaza imeni I.M. Gubkina, 2015, no. 4 (281), p. 114-128 (in Russian).
7. Ventcel’ E.S. Issledovanie operacij. M.: Sov. radio, 1972, 552 p (in Russian).
8. Stepin Y.P., Trahtengerc Je.A. Komp’juternaja podderzhka upravlenija neftegazovymi tehnologicheskimi processami i proizvodstvami. Kniga 1. M.: Vektor TiS, 2007, 384 s. Kniga 2. M.: MAKS Press, 2008, 528 p (in Russian).
9. GOST 27.002-89. Nadezhnost’ v tehnike. Osnovnye ponjatija. Terminy i opredelenija. M., 1990 (in Russian).

2015/4
Architectural solutions for managing components for distributed dispatcher decision-support systems
Technical sciences

Authors: Ayrat R. KHALIULLIN is Postgraduate student of the Dept. of Applied Mathematics and Computer Modeling of Gubkin Russian State University of Oil and Gas. E-mail: a.r.khaliullin@gmail.com
Vitaliy A. SHVECHKOV graduated from Gubkin Russian State University of Oil and Gas in 2002. He is Candidate of Technical Sciences, assistant professor of the Dept. of Design and Operation of Gas and Oil Pipelines of Gubkin Russian State University of Oil and Gas. He is author of more than 20 scientific papers. E-mail: shvechkov.v@gubkin.ru
Sergey A. SARDANASHVILI graduated from Moscow Institute of Petrochemical and Gas Industry in 1976. He is Doctor of Technical Sciences, associate professor, Head of Dept. of Design and Operation of Gas and Oil Pipelines of Gubkin Russian State University of Oil and Gas. He is specialist in the field of computer dispatcher decision-support systems for oil and gas industry and author of more than 50 scientific papers. E-mail: Sardanashvili.S@gubkin.ru

Abstract: The article deals with the problem of components managing for distributed decision-support systems; a distributed computer simulator for oil transportation systems is given as an example. The client-server interaction of components is considered. The basic functional tasks of components manager are formulated. The software architecture for the scheduling of client components is developed. Organization of computational tasks solving process is reduced to a step-by-step management of client components interaction

Index UDK: УДК 004; 681.518

Keywords: pipeline systems, programming and computing suites, computer simulators, distributed multiuser software, client-server interaction, event-based systems, service-oriented architecture, scheduling of components, organization of computational tasks solving process

Bibliography:
1. Tanenbaum E., Steen M. Raspredelennye sistemy. Printsipy i paradigmy. SРb.: Piter, 2003, 877 p. (in Russian).
2. Khaliullin A.R., Shvechkov V.A., Leonov D.G. Organizatsiya vzaimodeystviya programmnykh komponentov mnogopol’zovatel’skikh geterogennykh raspredelennykh kompleksov modelirovaniya dinamicheskikh protsessov truboprovodnykh sistem. Trudy XIV Vserossiyskogo nauchnogo seminara „Matematicheskie modeli i metody analiza i optimal’nogo sinteza razvivayushchikhsya truboprovodnykh i gidravlicheskikh system”. Belokurikha, Altayskiy kray, 8-13 sentyabrya 2014 g. Irkutsk: ISEM SO RAN, 2014, 410 p. (in Russian).
3. GOST 34.003–90. Informatsionnaya tekhnologiya. Kompleks standartov na avtomatizirovannye sistemy. Avtomatizirovannye sistemy. Terminy i opredeleniya (in Russian).
4. Meier J.D. Rukovodstvo Microsoft po proektirovaniyu arkhitektury prilozheniy. Patterns & practices/Hill D., Homer A., Taylor J., Bansode P, Wall L., Rob Boucher Jr., Bogawat A. 2-e izd. [Electronic resource] — URL: http://download.microsoft.com/documents/rus/msdn/ry_prilozheniy_ polnaya_kniga.pdf (date accessed 20.07.2015) (in Russian).
5. Leonenkov A.V. Samouchitel’ UML 2. SPb.: BKhV-Peterburg, 2007, 576 p. (in Russian).
6. Trakhtenbrot B.A., Barzdin’ Ya.M. Konechnye avtomaty. Povedenie i sintez. M.: Nauka, 1970, 400 p. (in Russian).
7. The State Machine Framework. Qt Documentation [Electronic resource] — URL: http://doc.qt.io/qt-4.8/statemachine-api.html (date accessed 13.05.2015).

2012/3
Methods for solving the problem of choosing the rational scheme of transporting gas via GTN with a capacity margin
Design, construction and operation of pipeline transport

Authors: Sergey A. SARDANASHVILY was born in 1954. Graduated from Gubkin Moscow Institute of Petrochemical and Gas Industry in 1976. He is PhD, Associate Professor, Director of the Educational Institute “Innovative educational projects and management issues” at Gubkin Russian State University of Oil and Gas. He is author of 38 scientific papers in the field of mathematical and computational modeling, optimization, forecasting of modes of gas transportation and gas systems, statistical analysis of data, models and processes. E-mail: sardan@gubkin.ru
Sergey K. MITICHKIN was born in 1956. Graduated from Gubkin Moscow Institute of Petrochemical and Gas Industry in 1982. He is Ph.D., Associate Professor, senior researcher at the Institute of Education “Innovative educational projects and management issues” Gubkin Russian State University of Oil and Gas. He is author of 27 scientific works in the field of mathematical and computational modeling, optimization, forecasting of modes of gas transmission and production facilities, models and processes. E-mail: msk@yasenevo.ru
Alexander V. BELINSKY was born in 1983. Graduated from Gubkin Russian State University of Oil and Gas in 2006. He is Ph.D., director of the Science and Technology Center “Gas Trunkline” of OAO “Gazprom promgaz”. He is author of 16 works in the field of mathematical and computational modeling and optimization of gas pipeline transportation, development, planning and reconstruction of regional gas supply systems. E-mail: belinskyab@mail.ru

Abstract: This paper presents a method of solving the problem of choosing a rational scheme for the transport of gas via GTN with a capacity margin. This problem is relevant to the dispatchers under no load conditions in the transmission system consisting of several gas pipeline corridors connected by inter-system bridges. Such situations arise either when producing companies reduce gas supply, or when consumers significantly reduce gas demand. The main problem here is that technological solutions are multi-variant. Thus, the gas transport operating organizations face the problem of rational choice option of gas transmission scheme, saving fuel and energy resources (FER) spent on their own technological needs of gas transportation

Index UDK: 004.021:004.023:004.421, 519.688: 519.876.5

Keywords: gas transportation system, reconstruction and development, simulation of modes, the automation of options search

Bibliography:
1. Sardanashvili S.A. Raschetnye metody i algoritmy (truboprovodnyj transport gaza). – M.: FGUP Izd-vo «Neft' i gaz» RGU nefti i gaza im. I.M. Gubkina, 2005. – 577 p.
2. Belinskij A.V. Razrabotka metodov, Algoritmov i programmnogo obespechenija zadach razvitija i rekonstrukcii territorial'nyh sistem gazosnabzhenija. Dis. k.t.n., 2009. – 151 p.

2012/1
Methods of automated search of options development and reconstruction of regional gas supply systems
Automation, modeling and energy supply in oil and gas sector

Authors: Sergey A. SARDANASHVILY was born in 1954, graduated from Gubkin Moscow Institute of Petrochemical and Gas Industry in 1976, he is Director of Research and Education Institute of “Innovative Educational Projects and Management Issues” at Gubkin Russian State University of Oil and Gas. He is the author of 35 scientific papers in the field of mathematical and computer modeling, optimization, prediction of modes of gas transportation and gas-producing systems, statistical analysis of data, models and processes. E-mail: sardan@gubkin.ru
Sergei K. MITICHKIN was born in 1956, graduated from Gubkin Moscow Institute of Petrochemical and Gas Industry in 1982. He is Leading Researcher of the Research and Education Institute of “Innovative Educational Projects and Management Issues” at Gubkin Russian State University of Oil and Gas. He is the author of 25 scientific papers in the field of mathematical and computer modeling, optimization, prediction of modes of gas transportation and gas systems, models and processes. E-mail: msk@yasenevo.ru
Alexander V. BELINSKY was born in 1983, graduated from Gubkin Russian State University of Oil and Gas in 2006; he is Director of Science and Technology Center “Gas Trunk line” at OAO “Gazprom promgaz”. He is the author of 15 publications in the field of mathematical and computer modeling and optimization of gas pipeline transportation, planning, development and reconstruction of the regional gas supply systems. E-mail: belinskyab@mail.ru

Abstract: This article describes the heuristics and algorithms for computer-assisted diagnosis of operational and technological bottlenecks in the systems of gas supply, as well as generation and study of various options for sustainable development and reconstruction of regional gas supply systems (RSS). These allow implementing long-term plans of gas supply to consumers unlike currently operating systems. The above algorithms are based on multivariate modeling modes of RSS, situational analysis of the factors that lead to the emergence of operational and technological bottlenecks in RSS, heuristic methods for automating the process of formation of the options of reconstruction and development of RSS in order to eliminate the bottlenecks.

Index UDK: 004.021:004.023:004.421; 519.688: 519.876.5

Keywords: regional system of gas supply, reconstruction and development, modes simulation, automation of options search

Bibliography:

2009/1
The construction of local and distributed computer simulators for industrial-dispatching services of gas transportation companies
Automation, modeling and energy supply in oil and gas sector

Authors: Sergey А. SARDANACHNILI (b. 1954). He graduated with honors in 1976 from the Gubkin Moscow Institute of Petrochemical and Gas Industry specialty “Automated Management System”. Pro-rector for education and innovation, the Director of the “Institute of innovative educational projects and technologies”, Ph.D., Professor of “Automated Control Systems” department of Gubkin Russian State University of Oil and Gas. Member of the organizing committee of several intenational conferences, a member of two specialized councils for the protection of theses. Gubkin Prize Laureate. Author of more than 30 scientific works.
Vitaly А. SHVECHKOV (b. 1979). He graduated with honors in 2002, a master’s degree in Gubkin Russian State University of Oil and Gas specialty “Information technology”. Deputy Director of the “Institute of innovative educational projects and technologies”, Ph.D., senior lecturer of “Automated Control Systems” department of Gubkin Russian State University of Oil and Gas.
E-mail: biblioteka@nedrainform.ru

Abstract: This article discusses how to build the architecture of computer simulators covering various levels of supervisory management of the Unified Gas Supply System of Russia. Possible regimes of the dispatching personnel on simulators are discussed: approaches to the organization of team multidisciplinary training in network environment are offered.

Index UDK: 681.5.004.9

Keywords: dispatcher simulator, distributed computer complexes

Bibliography: