TY - GEN
T1 - Gas-water two-phase flow pattern recognition based on ERT and ultrasound Doppler
AU - Shen, Ying
AU - Tan, Chao
AU - Dong, Feng
AU - Smith, Keith
AU - Escudero, Javier
N1 - Funding Information: The authors appreciate the support from the National Natural Science Foundation of China (No. 61473206) and The Natural Science Foundation of Tianjin (No. 17JCZDJC38400). K. Smith is supported by an EPSRC PhD studentship.
Publisher Copyright: © 2018 IEEE.
Y. Shen, C. Tan, F. Dong, K. Smith and J. Escudero, "Gas-water two-phase flow pattern recognition based on ERT and ultrasound Doppler," 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Houston, TX, USA, 2018, pp. 1-6, doi: 10.1109/I2MTC.2018.8409540.
PY - 2018/7/10
Y1 - 2018/7/10
N2 - Two phase flow is widely encountered and of high importance in the manufacturing process and related scientific research. The two-phase flow process is complex, and the flow patterns are jointly determined by the phase fraction and the flow rate. The traditional way of studying the flow patterns uses a single sensor, generally sensing one point, to discover and identify the flow patterns. However, these methods lack a comprehensive description from both the phase distribution and flow velocity. Therefore, it is essential to fuse different detection mechanism sensors to investigate the flow patterns in a more comprehensive way. In this work, an electrical resistance tomography (ERT) sensor measures phase fraction and a continuous wave ultrasound Doppler (CWUD) sensor measures velocity of two-phase flow. For the measurement, data of ERT is treated as a multivariate time-series and a method of graph signal processing named Modular Dirichlet Energy (MDE) is adopted to extract features. The results show that the combination of these two sensors can distinguish horizontal gas-water flow well and lays the foundation for the identification of oil-gas-water three-phase flow.
AB - Two phase flow is widely encountered and of high importance in the manufacturing process and related scientific research. The two-phase flow process is complex, and the flow patterns are jointly determined by the phase fraction and the flow rate. The traditional way of studying the flow patterns uses a single sensor, generally sensing one point, to discover and identify the flow patterns. However, these methods lack a comprehensive description from both the phase distribution and flow velocity. Therefore, it is essential to fuse different detection mechanism sensors to investigate the flow patterns in a more comprehensive way. In this work, an electrical resistance tomography (ERT) sensor measures phase fraction and a continuous wave ultrasound Doppler (CWUD) sensor measures velocity of two-phase flow. For the measurement, data of ERT is treated as a multivariate time-series and a method of graph signal processing named Modular Dirichlet Energy (MDE) is adopted to extract features. The results show that the combination of these two sensors can distinguish horizontal gas-water flow well and lays the foundation for the identification of oil-gas-water three-phase flow.
KW - continuous wave ultrasound Doppler
KW - electrical resistance tomography
KW - flow pattern identification
KW - Modular Dirichlet Energy
KW - ultrasonic variables measurement
KW - time-frequency analysis
KW - ultrasonic imaging
KW - voltage measurement
KW - doppler effect
KW - flow measurement
KW - flow sensors
UR - http://www.scopus.com/inward/record.url?scp=85050742087&partnerID=8YFLogxK
U2 - 10.1109/I2MTC.2018.8409540
DO - 10.1109/I2MTC.2018.8409540
M3 - Conference contribution book
AN - SCOPUS:85050742087
T3 - I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Proceedings
SP - 1
EP - 6
BT - I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference
T2 - 2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018
Y2 - 14 May 2018 through 17 May 2018
ER -