Title :
ICA and Its Application in the Phase Information Extraction of Oil-Gas-Water Three-Phase Flow
Author :
Lingfu, Kong ; Fan, Gao ; Yingwei, Li ; Xingbin, Liu ; JinHai, Hu
Author_Institution :
Coll. of Inf. Sci. & Eng., Yanshan Univ., Qinhuangdao, China
Abstract :
The independent component analysis(ICA)is applied to studying the oil-gas-water three-phase flow noisy signals responded by conductance sensor, and extracting the flow signals which characterized the gas and liquid phase respectively so as to obtain gas/liquid phase information. The algorithm of FastICA which based on kurtosis is applied to separating the field simulation well logging oil-gas-water three-phase signals responded by multi-channel sensors. And then identify the gas/liquid phase signals between the separated signals. Compare and analysis indicate that ICA is effective in obtaining the gas/liquid phase flow characteristics of oil-gas-water three-phase flow, and the extracted independent components have explicit physical meaning corresponded to the gas phase and the liquid phase separated.
Keywords :
independent component analysis; multiphase flow; well logging; FastICA; conductance sensor; field simulation; flow signals; gas/liquid phase flow characteristics; gas/liquid phase information; gas/liquid phase signals; independent component analysis; kurtosis; multichannel sensors; oil-gas-water three-phase flow noisy signals; oil-gas-water three-phase signals; phase information extraction; well logging; Algorithm design and analysis; Correlation; Data mining; Fluid flow; Fluid flow measurement; Independent component analysis; Petroleum; Independent Component Analysis (ICA); conductance sensor; oil-gas-water three-phase flow;
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
DOI :
10.1109/PCSPA.2010.138
