Application of machine learning for reconstruction of multiphase fluid structure measured by a capacitance multi-electrode sensor

• Autorzy: Ornowski Remigiusz , Lackowski Marcin , Kwidzinski Roman

Identyfikatory

DOI

10.24425/ather.2024.151993

• Języki publikacji: EN

Abstrakty

EN

Non-invasive real-time measurements of phase content in the reservoir fluid are highly advantageous in the oil and gas industry and remain a current research topic. The paper presents an innovative, self-designed multi-electrode capacitance meter intended for detecting multiphase flow patterns in a low-permittivity medium, such as the reservoir fluid. The capacitance sensor is built with delta-sigma charge modulators capacitance-to-digital converters. Machine learning is applied to convert the capacitance measurements into a tomographic image of the flow pattern. At present, the meter is built with eight electrodes. It is shown that the measurements are repeatable and have a good signal-to-noise ratio. The implemented neural network is capable of correctly reconstructing the tomographic images for a test tube filled with reservoir fluid and placed in various locations inside the test section.

Słowa kluczowe

EN

electrical capacitance tomography; multiphase reservoir flow; neural networks; machine learning; deep; learning

• Wydawca: Wydawnictwo Instytutu Maszyn Przepływowych PAN ; Komitet Termodynamiki i Spalania PAN
• Czasopismo: Archives of Thermodynamics
• Rocznik: 2024
• Tom: Vol. 45, no. 4
• Strony: 5--12
• Opis fizyczny: Bibliogr. 21 poz.

Twórcy

autor

Ornowski Remigiusz

• Institute of Fluid Flow Machinery, Polish Academy of Sciences, Heat Transfer Department, Fiszera 14, 80-231 Gdańsk, Poland
• TERCJA Measuring and Computer Systems, Dywizjonu 303 5B/24, 80-462 Gdańsk, Poland

autor

Lackowski Marcin

• Institute of Fluid Flow Machinery, Polish Academy of Sciences, Heat Transfer Department, Fiszera 14, 80-231 Gdańsk, Poland

autor

Kwidzinski Roman

• Institute of Fluid Flow Machinery, Polish Academy of Sciences, Heat Transfer Department, Fiszera 14, 80-231 Gdańsk, Poland

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