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Maria Kirgina
PhD student
The main challenge facing the modern oil industry is to improve
the resource efficiency of oil refining and the quality of oil products
National Research Tomsk Polytechnic University
Institute of Natural Resources
Department of Fuel Engineering and Chemical Cybernetics
Main objective of the department - creation the theoretical
principles of intelligent systems development to improve energy
and resource efficiency of oil-refining industrial processes.
Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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Software implemented
mathematical models
Knowledge about the
industrial processes
Database from
industrial plants
Interface
User
Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
Expert
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Thermodynamic analysis of the chemical reactions;
Creation of formalized scheme of chemical transformations;
Creation of kinetic model;
Decision of inverse kinetic problem, definition of kinetic parameters
such us constants of speeds and activation energy for different marks
of catalysts;
Creation of reactor model, including hydrodynamic and heat transfer
models and model the catalyst deactivation;
Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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Based on kinetic models of
multi-component catalytic
processes
Take into account reactivity of
substances, lifetime of the
catalyst and non-additivity
properties of hydrocarbon
mixtures
Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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«Activ+C» - intelligent system for forecasting and optimization of
fixed-bed and moving-bed catalytic reforming process.
«Izomer» - intelligent system for forecasting and optimization of
light naphtha isomerization process.
«Catalyst control» - intelligent system for platinum catalysts
testing.
«Compounding» - intelligent system for calculation of gasoline
blending recipes.
Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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Intelligent systems can be used for:
optimization and prediction of processes operating parameters;
comparison of different units work efficiency and choosing more
suitable variant of process optimization;
testing and selection of catalysts;
development of gasoline blending recipes meeting the requirements
of ecological standards.
Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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Capabilities:
calculation of gasoline streams research
and motor octane numbers;
calculation knock characteristic of gasoline
blend with antiknock and oxygenate
additives;
development of gasoline recipes meeting
the requirements of ecological standards;
Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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Тable. 1 Comparison of calculated and experimental octane numbers
Octane number
Reformate №1
МОN calc.
RОN exp. RОN calc. ∆ RОN
94,5
96
93,3
86,7
75,5
86
94
95,5
93,1
87,7
74,6
85,5
0,5
0,5
0,2
1
Catalytic cracking gasoline
82,3
84,8
86,2
85,9
72,8
75,8
Gas fractionation plant gasoline
73,5
82,8
83,2
0,4
Reformate №2
Alkylate
Isomerizate №1
Isomerizate №2
0,9
0,5
The average absolute error doesn't exceed 1 point.
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95 RON Gasoline
92 RON Gasoline
4%
4%
8%
13%
19%
40%
52%
25%
35%
15%
15%
18%
30%
Reformate
Isomerizate
22%
Alkylate
Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
98 RON Gasoline
n-butane
MTBE
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Advantages of intelligent systems:
Accuracy of calculations and Predictive ability;
Take into account the hydrocarbon composition of raw materials,
lifetime of the catalyst and non-additivity properties of hydrocarbon
mixtures;
Improve resource efficiency by saving expensive components.
Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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1.
2.
3.
4.
5.
Joint projects of the Russian Foundation for Basic Research (RFBR)
and the Austrian Science Foundation (ANF).
World Congress on Sustainable Technologies (WCST-2013), London,
UK, December 9-12, 2013.
The 8th International Chemical Engineering Congress and Exhibition
(IChEC 2014), Kish International Convention Center, Kish Island, Iran,
February 24-27, 2014.
XXI
International
Conference
on
Chemical
Reactors
«CHEMREACTOR-21», Delft University of Technology, Delft,
Netherlands, September 22-25, 2014.
International Forum on Strategic Technology (IFOST), Chittagong
University of Engineering & Technology, Bangladesh, 2014.
Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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Department of Fuel Engineering and Chemical Cybernetics
Member of the team
Major research interests
E-mail
mathematical modeling and
optimization of oil-refining
industrial processes
[email protected]
Ivashkina Elena
associate professor, PhD
petrochemical processes
[email protected]
Sharova Ekaterina
associate professor, PhD
fixed-bed catalytic reforming process
[email protected]
Chekantsev Nikita
associate professor, PhD
light naphtha isomerization process
[email protected]
Frantsina Evgenia, PhD
diesel fuels production processes
[email protected]
Gyngazova Maria, PhD
moving-bed catalytic reforming process
[email protected]
high-octane gasoline blending processes
[email protected]
Ivanchina Emilia
professor, PhD
Kirgina Maria, PhD student
Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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Maria Kirgina
PhD student
634050, Russia, Tomsk, Lenin Avenue, 30
Tel.: +73822563443, +79138099117
e-mail: [email protected]
http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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Maria Kirgina
National Research Tomsk Polytechnic University
[email protected] http://portal.tpu.ru/SHARED/m/MKIRGINA/eng