CHARACTERIZATION OF OIL-WATER TWO PHASE FLOW PATTERNS IN VERTICAL UPWARD FLOW PIPES

JIN Ningde; NING Yingnan; WANG Weiwei; LIU Xingbin; TIAN Shuxiang

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CHARACTERIZATION OF OIL-WATER TWO PHASE FLOW PATTERNS IN VERTICAL UPWARD FLOW PIPES

更新时间：2025-12-10

- CHARACTERIZATION OF OIL-WATER TWO PHASE FLOW PATTERNS IN VERTICAL UPWARD FLOW PIPES
- CIESC Journal Issue 10, (2001)
- 作者机构：
  
  1. 大庆石油学院勘探系
  2. 大庆生产测井研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：25 October 2001，
  
  Published：25 October 2001
- 稿件说明：
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JIN Ningde, NING Yingnan, WANG Weiwei, et al. CHARACTERIZATION OF OIL-WATER TWO PHASE FLOW PATTERNS IN VERTICAL UPWARD FLOW PIPES[J]. CIESC Journal, 2001, (10).
DOI：

JIN Ningde, NING Yingnan, WANG Weiwei, et al. CHARACTERIZATION OF OIL-WATER TWO PHASE FLOW PATTERNS IN VERTICAL UPWARD FLOW PIPES[J]. CIESC Journal, 2001, (10). DOI：

摘要

在含水率 5 1%～ 91%、油水两相流总流量 10～ 6 0m3·d-1范围内

对垂直上升油水两相流流动工况的电导波动信号进行了分形及混沌时间序列分析 .当含水率为 6 0 .5 %～ 91%时

所提取的分形维数及吸引子相关维分别在 1.0 0 6～ 1.6 31及 4.30～ 6 .77之间 ;当含水率为 5 1%或 5 1.5 %时

所提取的分形维数及吸引子相关维分别在 1.17～ 1.75 8及 5 .46～ 7.0 5之间

且分形维数及混沌吸引子相关维数随总流量呈不规则突变

并与复杂功率谱特征及流型图上的过渡流型相对应

表明了分形维数及混沌吸引子相关维数对油水两相流流型变化具有敏感的“指示器”特性

Abstract

Characterization of oil-water two phase flow patterns in vertical upward flow pipes is studied based on fractal and chaotic time series analysis of conductance fluctuation signals. For 60.5%≤ K w≤91% and 10 m 3· d -1 ≤ Q t≤60 m 3·d -1

local fractal dimension and correlation dimension of chaotic attractors are in the range from 1.006 to 1.631 and from 4.30 to 6.77

respectively. For K w=51% or K w=51.5% and 20 m 3·d -1 ≤ Q t≤60 m 3·d -1

fractal dimension and correlation dimension of chaotic attractors are in the range from 1.17 to 1.758 and from 5.46 to 7.05

respectively. Both dimensions show an irregular sudden change with variation of total flowrate Q t

which corresponds to happenings of transitional flow pattern. The irregular sudden changes in dimensions are verified with complex power spectrum and flow pattern map proposed by our previous study. It is shown that fractal dimension and correlation dimension of chaotic attractors is sensitive to flow pattern variation as an "indicator".

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