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Online Multiphase Flow Measurement of Crude Oil Properties Using Nuclear (Proton) Magnetic Resonance Automated Measurement Complex for Energy Safety at Smart Oil Deposits

Author

Listed:
  • Rustem Kashaev

    (Department of Instrumentation and Mechatronics, Kazan State Power Engineering University, 420066 Kazan, Russia)

  • Nguyen Duc Ahn

    (Department of Instrumentation and Mechatronics, Kazan State Power Engineering University, 420066 Kazan, Russia)

  • Valeriya Kozelkova

    (Department of Instrumentation and Mechatronics, Kazan State Power Engineering University, 420066 Kazan, Russia)

  • Oleg Kozelkov

    (Department of Instrumentation and Mechatronics, Kazan State Power Engineering University, 420066 Kazan, Russia)

  • Valentin Dudkin

    (Department of Photonics and Communication Lines, The Bonch-Bruevich Saint Petersburg State University of Telecommunication, 193232 St. Petersburg, Russia)

Abstract

The necessity of a flow express control of oil dispersed system (ODS) properties, such as crude oil, oil products, water–oil emulsions, and polluted waters, is substantiated. This control is necessary for the production and preparation of oil for transportation through the pipeline and oil refining, oil products, and wastewater treatment systems. A developed automatic measuring complex (AMC) is used to implement the concept of digital oil deposits. The primary measuring device is a relaxometer developed by us based on nuclear (proton) magnetic resonance (PMR). The design and operation algorithm of the AMC and the relaxometer are described. Equations have been developed to determine the ODS characteristics using the measured PMR parameters. This makes it possible to determine the flow rates of crude oil, the concentration of water in the oil, the concentration of asphaltene, resins, and paraffins in the oil, as well as the density, viscosity, and molecular weight of the oil. Additionally, it is possible to determine the dispersed distribution of water droplets in emulsions in oil production and treatment units. Data on this distribution will improve the management of separation processes. It has been established that the implemented control of multiphase ODS using PMR parameters (relaxation times, populations of proton phases, and amplitudes of spin-echo signals) makes it possible, using AMC, to assess the consumption of electricity in technological processes at the digital oil deposits, as well as during the transportation of oil and oil products through pipelines. AMC makes it possible to reduce electrical energy consumption in technological installations and reduce pollution emissions into wastewater. The advantages of using the developed AMC are shown in examples of its application. Such as an assessment of the influence of the gas factor on electricity consumption during oil transportation through pipelines or compensation for the additional moment of resistance on the shaft of the submersible motor, which is caused by surface tension forces at the interface of water droplets in the emulsion.

Suggested Citation

  • Rustem Kashaev & Nguyen Duc Ahn & Valeriya Kozelkova & Oleg Kozelkov & Valentin Dudkin, 2023. "Online Multiphase Flow Measurement of Crude Oil Properties Using Nuclear (Proton) Magnetic Resonance Automated Measurement Complex for Energy Safety at Smart Oil Deposits," Energies, MDPI, vol. 16(3), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1080-:d:1040334
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    References listed on IDEAS

    as
    1. Roman Davydov & Vadim Davydov & Valentin Dudkin, 2022. "The Nuclear Magnetic Flowmeter for Monitoring the Consumption and Composition of Oil and Its Complex Mixtures in Real-Time," Energies, MDPI, vol. 15(9), pages 1-20, April.
    2. Zhang, Shuai & Lei, Qingyu & Wu, Le & Wang, Yuqi & Zheng, Lan & Chen, Xi, 2022. "Supply chain design and integration for the Co-Processing of bio-oil and vacuum gas oil in a refinery," Energy, Elsevier, vol. 241(C).
    3. Yang Chen & Yao Zhang & Jianxue Wang & Zelong Lu, 2020. "Optimal Operation for Integrated Electricity–Heat System with Improved Heat Pump and Storage Model to Enhance Local Energy Utilization," Energies, MDPI, vol. 13(24), pages 1-23, December.
    4. Nascimento da Silva, Gabriela & Rochedo, Pedro R.R. & Szklo, Alexandre, 2022. "Renewable hydrogen production to deal with wind power surpluses and mitigate carbon dioxide emissions from oil refineries," Applied Energy, Elsevier, vol. 311(C).
    5. Noor Saeed Khan & Taza Gul & Poom Kumam & Zahir Shah & Saeed Islam & Waris Khan & Samina Zuhra & Arif Sohail, 2019. "Influence of Inclined Magnetic Field on Carreau Nanoliquid Thin Film Flow and Heat Transfer with Graphene Nanoparticles," Energies, MDPI, vol. 12(8), pages 1-20, April.
    6. Liu, Qiang & Zhao, Zhongwei & Liu, Yiran & He, Yao, 2022. "Natural resources commodity prices volatility, economic performance and environment: Evaluating the role of oil rents," Resources Policy, Elsevier, vol. 76(C).
    7. Chen, Zhenbin & Wang, Li & Wei, Zhilong & Wang, Yu & Deng, Jiaojun, 2022. "Effect of components on the emulsification characteristic of glucose solution emulsified heavy fuel oil," Energy, Elsevier, vol. 244(PB).
    8. Nourelfath, Mustapha & Lababidi, Haitham M.S. & Aldowaisan, Tariq, 2022. "Socio-economic impacts of strategic oil and gas megaprojects: A case study in Kuwait," International Journal of Production Economics, Elsevier, vol. 246(C).
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