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Proposing an Intelligent Dual-Energy Radiation-Based System for Metering Scale Layer Thickness in Oil Pipelines Containing an Annular Regime of Three-Phase Flow

Author

Listed:
  • Osman Taylan

    (Department of Industrial Engineering, Faculty of Engineering, King Abdulaziz University, P.O. Box 80204, Jeddah 21589, Saudi Arabia)

  • Mona Abusurrah

    (Department of Management Information Systems, College of Business Administration, Taibah University, P.O. Box 344, Al-Madinah 42353, Saudi Arabia)

  • Saba Amiri

    (Razi University, Kermanshah 6714414971, Iran)

  • Ehsan Nazemi

    (Imec-Vision Lab, Department of Physics, University of Antwerp, 2610 Antwerp, Belgium)

  • Ehsan Eftekhari-Zadeh

    (Institute of Optics and Quantum Electronics, Friedrich-Schiller-University Jena, Max-Wien-Platz 1, 07743 Jena, Germany)

  • Gholam Hossein Roshani

    (Electrical Engineering Department, Kermanshah University of Technology, Kermanshah 6715685420, Iran)

Abstract

Deposition of scale layers inside pipelines leads to many problems, e.g., reducing the internal diameter of pipelines, damage to drilling equipment because of corrosion, increasing energy consumption because of decreased efficiency of equipment, and shortened life, etc., in the petroleum industry. Gamma attenuation could be implemented as a non-invasive approach suitable for determining the mineral scale layer. In this paper, an intelligent system for metering the scale layer thickness independently of each phase’s volume fraction in an annular three-phase flow is presented. The approach is based on the use of a combination of an RBF neural network and a dual-energy radiation detection system. Photo peaks of 241 Am and 133 Ba registered in the two transmitted detectors, and scale-layer thickness of the pipe were considered as the network’s input and output, respectively. The architecture of the presented network was optimized using a trial-and-error method. The regression diagrams for the testing set were plotted, which demonstrate the precision of the system as well as correction. The MAE and RMSE of the presented system were 0.07 and 0.09, respectively. This novel metering system in three-phase flows could be a promising and practical tool in the oil, chemical, and petrochemical industries.

Suggested Citation

  • Osman Taylan & Mona Abusurrah & Saba Amiri & Ehsan Nazemi & Ehsan Eftekhari-Zadeh & Gholam Hossein Roshani, 2021. "Proposing an Intelligent Dual-Energy Radiation-Based System for Metering Scale Layer Thickness in Oil Pipelines Containing an Annular Regime of Three-Phase Flow," Mathematics, MDPI, vol. 9(19), pages 1-14, September.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:19:p:2391-:d:643343
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    References listed on IDEAS

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    1. Ophelie Dubois & Gilbert Silvius, 2020. "The Relation Between Sustainable Project Management and Project Success," International Journal of Management and Sustainability, Conscientia Beam, vol. 9(4), pages 218-238.
    2. Tao Dai & Liangzhi Cao & Qingming He & Hongchun Wu & Wei Shen, 2020. "A Two-Way Neutronics/Thermal-Hydraulics Coupling Analysis Method for Fusion Blankets and Its Application to CFETR," Energies, MDPI, vol. 13(16), pages 1-20, August.
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