AP08855607 — Digital technology for optimizing the cyclic pumping of highly solidifying and high-viscosity oil mixtures
Objective of the project: Development of digital technology to optimize the cyclic pumping of oil mixtures along the section of the Uzen-Atyrau main oil pipeline.
Relevance: The scientific aspect of the optimization problem is the cyclic pumping of batches of oil mixtures with different physical and chemical properties, heating at several stations, as well as associated pumping of oil along the oil pipeline section. Determination of energy-saving modes of operation of pumping units and heating furnaces for cyclic pumping of Buzachi and Mangyshlak oil mixtures is of great practical importance for the efficiency of the Uzen-Atyrau oil pipeline. All this represents the relevance of the project in scientific and practical terms.
Scientific adviser: Candidate of Physical and Mathematical Sciences, Ramazanova Gaukhar
Results obtained: During the research, a database and a digital model of the Uzen–Atyrau pipeline section were developed, incorporating key operational parameters. Dependencies of oil mixture viscosity were generalized, and pipeline, soil, and pump characteristics were identified using SCADA data. Mathematical models, algorithms, and a software module for cyclic pumping of different oil mixtures were created. Simulation and validation confirmed the adequacy of the developed models. An optimization criterion for minimizing energy consumption was proposed. Optimization results demonstrated a significant reduction in energy costs. The outcomes are recommended for practical implementation in industry.
List of publications with links to them
- Bekibayev, T., Zhapbasbayev, U., Ramazanova, G., Bossinov, D. Oil pipeline hydraulic resistance coefficient identification // Cogent Engineering. – 2021. – Vol. 8. – Art. 1950303. – DOI: https://doi.org/10.1080/23311916.2021.1950303.
- Bekibayev, T., Zhapbasbayev, U., Ramazanova, G., Bossinov, D. Oil blends cyclic pumping simulation in the main oil pipeline // Труды традиционной международной апрельской математической конференции. – Алматы, 5–8 апреля 2021 г. – С. 176–177.
- Бекибаев, Т.Т., Жапбасбаев, У.К., Рамазанова, Г.И., Босинов, Д.Ж. Интеллектуальная система трубопроводной транспортировки нефти // Сборник докладов II Международного Джолдасбековского симпозиума «Механика будущего». – 1–5 марта 2021 г. – С. 393–398.
- Bekibayev, T.T., Ramazanova, G.I., Pakhomov, M.A. The problem of optimizing pumping units for oil transportation // Complex Use of Mineral Resources. – 2022. – Vol. 321, № 2. – P. 38–46.
- Bekibayev, T.T., Ramazanova, G.I., Pakhomov, M.A., Bossinov, D.Zh. Determination of optimal oil pumping plans // Complex Use of Mineral Resources. – 2022. – Vol. 320, № 1. – P. 15–24.
- Bekibayev, T., Zhapbasbayev, U., Ramazanova, G. Optimal regimes of heavy oil transportation through a heated pipeline // Journal of Process Control. – 2022. – Vol. 115. – P. 27–35. – DOI: https://doi.org/10.1016/j.jprocont.2022.04.020.
- Bekibayev, T.T. Model of oil temperature distribution on the main oil pipelines depending on soil temperature field for non-stationary pumping process // Proceedings of the 16th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics (HEFAT-ATE). – Amsterdam, 2022. – P. 635–640.
- Свидетельство о государственной регистрации программы для ЭВМ № 29483 от 17.10.2022. Модуль расчета циклической перекачки.