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Tengda Wang - One of the best experts on this subject based on the ideXlab platform.

  • nonlinear dynamical analysis of large diameter vertical upward oil gas water three phase flow pattern characteristics
    Chemical Engineering Science, 2010
    Co-Authors: Zhen-ya Wang, Yanbo Zong, Tengda Wang
    Abstract:

    Abstract Based on two kinds of signals measured from mini-conductance probe array and vertical multi-electrode array (VMEA) conductance sensor, we study oil–gas–water three-phase flow in a vertical upward 125 mm ID pipe. Using the ratio of oil Flowrate to total Liquid Flowrate (fo) and the superficial gas velocity (Usg), we draw the six different flow pattern maps under four total mixture Liquid Flowrates. In addition, we indicate that: (a) the increase of fo makes oil in water type slug flow occur at lower Usg; (b) for large diameter pipe and low flow velocity, the phase inversion of Liquids occurs at about fo=0.9 and the increase of Usg makes the phase inversion of Liquids move to low fo. Furthermore, we investigate the nonlinear dynamical characteristics of five water continuous phase flow patterns in terms of chaotic attractor morphological description and complexity measures (Lempel–Ziv complexity and approximate entropy), and find that: (a) the chaotic attractor morphological characteristics can identify three-phase flow patterns; (b) the combination of Lempel–Ziv complexity and approximate entropy can serve as a unique classification criterion of three-phase flow patterns. In this regard, the nonlinear analysis of conductance fluctuating signals can give an effective indicator to understand and identify the oil–gas–water three-phase flow pattern characteristics.

  • Nonlinear dynamical analysis of large diameter vertical upward oil―gas―water three-phase flow pattern characteristics
    Chemical Engineering Science, 2010
    Co-Authors: Ziyi Wang, Yanbo Zong, Ningde Jin, Zhong-ke Gao, Tengda Wang
    Abstract:

    Abstract Based on two kinds of signals measured from mini-conductance probe array and vertical multi-electrode array (VMEA) conductance sensor, we study oil–gas–water three-phase flow in a vertical upward 125 mm ID pipe. Using the ratio of oil Flowrate to total Liquid Flowrate (fo) and the superficial gas velocity (Usg), we draw the six different flow pattern maps under four total mixture Liquid Flowrates. In addition, we indicate that: (a) the increase of fo makes oil in water type slug flow occur at lower Usg; (b) for large diameter pipe and low flow velocity, the phase inversion of Liquids occurs at about fo=0.9 and the increase of Usg makes the phase inversion of Liquids move to low fo. Furthermore, we investigate the nonlinear dynamical characteristics of five water continuous phase flow patterns in terms of chaotic attractor morphological description and complexity measures (Lempel–Ziv complexity and approximate entropy), and find that: (a) the chaotic attractor morphological characteristics can identify three-phase flow patterns; (b) the combination of Lempel–Ziv complexity and approximate entropy can serve as a unique classification criterion of three-phase flow patterns. In this regard, the nonlinear analysis of conductance fluctuating signals can give an effective indicator to understand and identify the oil–gas–water three-phase flow pattern characteristics.

Yanbo Zong - One of the best experts on this subject based on the ideXlab platform.

  • nonlinear dynamical analysis of large diameter vertical upward oil gas water three phase flow pattern characteristics
    Chemical Engineering Science, 2010
    Co-Authors: Zhen-ya Wang, Yanbo Zong, Tengda Wang
    Abstract:

    Abstract Based on two kinds of signals measured from mini-conductance probe array and vertical multi-electrode array (VMEA) conductance sensor, we study oil–gas–water three-phase flow in a vertical upward 125 mm ID pipe. Using the ratio of oil Flowrate to total Liquid Flowrate (fo) and the superficial gas velocity (Usg), we draw the six different flow pattern maps under four total mixture Liquid Flowrates. In addition, we indicate that: (a) the increase of fo makes oil in water type slug flow occur at lower Usg; (b) for large diameter pipe and low flow velocity, the phase inversion of Liquids occurs at about fo=0.9 and the increase of Usg makes the phase inversion of Liquids move to low fo. Furthermore, we investigate the nonlinear dynamical characteristics of five water continuous phase flow patterns in terms of chaotic attractor morphological description and complexity measures (Lempel–Ziv complexity and approximate entropy), and find that: (a) the chaotic attractor morphological characteristics can identify three-phase flow patterns; (b) the combination of Lempel–Ziv complexity and approximate entropy can serve as a unique classification criterion of three-phase flow patterns. In this regard, the nonlinear analysis of conductance fluctuating signals can give an effective indicator to understand and identify the oil–gas–water three-phase flow pattern characteristics.

  • Nonlinear dynamical analysis of large diameter vertical upward oil―gas―water three-phase flow pattern characteristics
    Chemical Engineering Science, 2010
    Co-Authors: Ziyi Wang, Yanbo Zong, Ningde Jin, Zhong-ke Gao, Tengda Wang
    Abstract:

    Abstract Based on two kinds of signals measured from mini-conductance probe array and vertical multi-electrode array (VMEA) conductance sensor, we study oil–gas–water three-phase flow in a vertical upward 125 mm ID pipe. Using the ratio of oil Flowrate to total Liquid Flowrate (fo) and the superficial gas velocity (Usg), we draw the six different flow pattern maps under four total mixture Liquid Flowrates. In addition, we indicate that: (a) the increase of fo makes oil in water type slug flow occur at lower Usg; (b) for large diameter pipe and low flow velocity, the phase inversion of Liquids occurs at about fo=0.9 and the increase of Usg makes the phase inversion of Liquids move to low fo. Furthermore, we investigate the nonlinear dynamical characteristics of five water continuous phase flow patterns in terms of chaotic attractor morphological description and complexity measures (Lempel–Ziv complexity and approximate entropy), and find that: (a) the chaotic attractor morphological characteristics can identify three-phase flow patterns; (b) the combination of Lempel–Ziv complexity and approximate entropy can serve as a unique classification criterion of three-phase flow patterns. In this regard, the nonlinear analysis of conductance fluctuating signals can give an effective indicator to understand and identify the oil–gas–water three-phase flow pattern characteristics.

Geoffrey F. Hewitt - One of the best experts on this subject based on the ideXlab platform.

  • Measurement of bubble size distribution using a flying optical probe technique: Application in the highly turbulent region above a distillation plate
    Chemical Engineering Science, 2007
    Co-Authors: Hsun-min Yang, Geoffrey F. Hewitt
    Abstract:

    Abstract A flying optical probe technique has been developed and employed to measure bubble size above sieve trays in an air–water facility simulating cross-flow distillation (CRODIS). Despite the highly turbulent conditions occurring in the flows investigated, successful measurements were made of bubble size distributions at a series of levels above the trays. Using this technique, experiments are carried out on the CRODIS facility covering a range of gas and Liquid Flowrates and several tray configurations and the results are presented in this paper. Gas Flowrate, sieve hole size and weir height were found to exhibit a significant effect on bubble size distribution, whereas Liquid Flowrate was shown to have negligible influence.

  • Characteristics of Flowrate transients in slug flow
    International Journal of Multiphase Flow, 1998
    Co-Authors: M.j.s. King, Colin P. Hale, Christopher J. Lawrence, Geoffrey F. Hewitt
    Abstract:

    Abstract A study of the effect of Flowrate transients within the slug flow regime was carried out in the WASP Facility at Imperial College. The test section consisted of a 36 m long, nominal 3-inch diameter stainless steel pipe. Air and water were used as the test fluids and the response to a change for Flowrate of either phase was measured using a series of conductivity probes, pressure transducers and a gamma densitometer. When the gas Flowrate was increased, the pressure was found to peak above the new steady state value before recovering. In addition, a temporary period of intense slugging was observed, particularly at higher Liquid superficial velocity, as well as a decrease in holdup. When the gas Flowrate was decreased, a rarefaction in the inlet pressure was observed together with a period of stratified flow, even though conditions were such as to cause slug flow in both the initial and final steady states. The period of stratified flow was observed to be longer for lower Liquid Flowrates. For an increase or a decrease in the gas Flowrate, the amplitude of the pressure peak was observed to increase with the ratio of the higher to the lower gas Flowrate. In contrast, changes in Liquid Flowrate were accommodated by smooth transitions between the corresponding steady states.

Ziyi Wang - One of the best experts on this subject based on the ideXlab platform.

  • Nonlinear dynamical analysis of large diameter vertical upward oil―gas―water three-phase flow pattern characteristics
    Chemical Engineering Science, 2010
    Co-Authors: Ziyi Wang, Yanbo Zong, Ningde Jin, Zhong-ke Gao, Tengda Wang
    Abstract:

    Abstract Based on two kinds of signals measured from mini-conductance probe array and vertical multi-electrode array (VMEA) conductance sensor, we study oil–gas–water three-phase flow in a vertical upward 125 mm ID pipe. Using the ratio of oil Flowrate to total Liquid Flowrate (fo) and the superficial gas velocity (Usg), we draw the six different flow pattern maps under four total mixture Liquid Flowrates. In addition, we indicate that: (a) the increase of fo makes oil in water type slug flow occur at lower Usg; (b) for large diameter pipe and low flow velocity, the phase inversion of Liquids occurs at about fo=0.9 and the increase of Usg makes the phase inversion of Liquids move to low fo. Furthermore, we investigate the nonlinear dynamical characteristics of five water continuous phase flow patterns in terms of chaotic attractor morphological description and complexity measures (Lempel–Ziv complexity and approximate entropy), and find that: (a) the chaotic attractor morphological characteristics can identify three-phase flow patterns; (b) the combination of Lempel–Ziv complexity and approximate entropy can serve as a unique classification criterion of three-phase flow patterns. In this regard, the nonlinear analysis of conductance fluctuating signals can give an effective indicator to understand and identify the oil–gas–water three-phase flow pattern characteristics.

Zhen-ya Wang - One of the best experts on this subject based on the ideXlab platform.

  • nonlinear dynamical analysis of large diameter vertical upward oil gas water three phase flow pattern characteristics
    Chemical Engineering Science, 2010
    Co-Authors: Zhen-ya Wang, Yanbo Zong, Tengda Wang
    Abstract:

    Abstract Based on two kinds of signals measured from mini-conductance probe array and vertical multi-electrode array (VMEA) conductance sensor, we study oil–gas–water three-phase flow in a vertical upward 125 mm ID pipe. Using the ratio of oil Flowrate to total Liquid Flowrate (fo) and the superficial gas velocity (Usg), we draw the six different flow pattern maps under four total mixture Liquid Flowrates. In addition, we indicate that: (a) the increase of fo makes oil in water type slug flow occur at lower Usg; (b) for large diameter pipe and low flow velocity, the phase inversion of Liquids occurs at about fo=0.9 and the increase of Usg makes the phase inversion of Liquids move to low fo. Furthermore, we investigate the nonlinear dynamical characteristics of five water continuous phase flow patterns in terms of chaotic attractor morphological description and complexity measures (Lempel–Ziv complexity and approximate entropy), and find that: (a) the chaotic attractor morphological characteristics can identify three-phase flow patterns; (b) the combination of Lempel–Ziv complexity and approximate entropy can serve as a unique classification criterion of three-phase flow patterns. In this regard, the nonlinear analysis of conductance fluctuating signals can give an effective indicator to understand and identify the oil–gas–water three-phase flow pattern characteristics.