DEVELOPMENT OF SMART-SYSTEM OF MANAGEMENT OF COMPLEX TECHNOLOGICAL PROCESS OF OIL AND GAS INDUSTRY WITH APPLICATION OF BIO-INSPECTED ALGORITHMS
Abstract
The article is devoted to the development of a control algorithm for a multidimensional and multiply connected gas purification process in a distillation column based on clonal selection algorithm (CLONAG) and a genetic algorithm (GA) using the decoupling procedure. A comparative analysis and the selection of the best quality criterion for the implementation of PI control were made. The paper explains the relevance of the implementation of the developed system for the control of complex technological production in the oil and gas industry, as well as the prospect of using artificial intelligence procedures to solve optimization problems by multi-parameter processes.
About the Authors
T. I. SamigulinKazakhstan
O. I. Shiryaeva
Kazakhstan
References
1. Fatemeh Moinian, Hamed Sabouhi, Jafar Hushmand, Ahmad Hallaj, Hiwa Khaledi, Mojtaba Mohammadpour. Gas turbine preventive maintenance optimization using genetic algorithm // International Journal of System Assurance Engineering and management. - 2017. - Vol. 8, Issue 3. - P. 594-601.
2. Menad Nait Amar, Nourddine Zeraibi, Kheireddine Redouane. Optimization of WAG process using dynamic proxy, genetic algorithm and ant colony optimization // Arabian Journal for Science and Engineering, - 2018. - Vol. 42, Issue 11. - P. 6399-6412.
3. Alexandre Ashade L. Cunha, Giulia Duncan, Alan Bontempo, Marco Aurelio C. Pacheco. Optimum wells placement in oil and fields using cellular genetic algorithms and space efficient chromosomes / Proceeding of SAI Intelligent Systems Conference // IntelliSys 2016: Intelligent Systems and Applications. - Springer Cham. - 2017. - P. 15-38.
4. Yamin Yan, Yongtu Liang, Haoran Zhang, Wan Zhang, Huixia Feng, Bohong Wang, Qi Liao. A two-stage optimization method for unmanned aerial vehicle inspection of an oil and gas pipeline network // Petroleum Science. Chine University of Petroleum (Beijing). - 2019. - Volume 16, Issue 2. - P. 458-468.
5. Ghoul emallah Boukhalfa, Sebti Belkacem, Abdesselem Chiklhi, Said Benaggoune. Genetic algorithm and particle swarm optimization tuned fuzzy PID controller on direct torque control of dual star induction motor // Journal of Central South University. - 2019. - Vol. 26, Issue 7. - P. 1886-1896.
6. Minian F., Sabouhi H., Hushmand J., Hallaj A., Khaledi H., Mohammadpour M. Gas turbine preventive maintenance optimization using genetic algorithm // International Journal of System Assurance Engineering and Management. - Springer, 2016. - Vol. 8. - P. 594-601.
7. Changdar Ch., Pal R. K., Mahapatra G. S. A genetic ant colony optimization based algorithms for solid multiple travelling salesman problem in fuzzy rough environment // Soft Computing. - Springer, 2018. - Vol. 21, Issue 16. - P. 4661-4675.
8. Castro L., Zuben F. The clonal selection algorithm with engineering applications. - Las Vegas, USA: Workshop on Artificial Immune Systems and Their Applications. In Workshop Proceeding of GECCO 00. - 2000. - P. 36-37.
9. Самигулин Т. И., Ширяева О. И., Самигулина Г. А. Программное обеспечение Genetic Regulator для решения задач управления сложными объектами / Т. И. Самигулин, О. И. Ширяева, Г. А. Самигулина. - Астана: Свидетельство о государственной регистрации прав на объект авторского права (на программу ЭВМ). - 2016. - № 005733. - 25 с.
10. Бураков М. В. Генетический алгоритм: теория и практика / М. В. Бураков. - СПб.: ГУАП, 2008. - 164 с.
Review
For citations:
Samigulin T.I., Shiryaeva O.I. DEVELOPMENT OF SMART-SYSTEM OF MANAGEMENT OF COMPLEX TECHNOLOGICAL PROCESS OF OIL AND GAS INDUSTRY WITH APPLICATION OF BIO-INSPECTED ALGORITHMS. Herald of the Kazakh-British Technical University. 2019;16(4):164-170. (In Russ.)