节点文献
油水两相流流型的混沌时间序列分析
CHAOTIC TIME SERIES ANALYSIS OF OIL/WATER TWO PHASE FLOW PATTERNS
【摘要】 采用一种基于互信息第一极小值计算法确定了相空间重建延迟时间,用Mackey-Glass方程及Lorenz奇异吸引子数据作算例检验了该计算方法的可靠性.通过计算的混沌吸引子关联维对油水两相流流型进行了表征,结果表明对含水率为61%-91%及总流量为10-60(m3/d)的水包油流型,油水两相流电导波动信号的关联维与含水率及总流量有着良好的相关关系,而对含水率为51%的油水两相流过渡流型,关联维随总流量呈现不规则突变,表明了混沌吸引子关联维数对油水两相流流型变化具有敏感的“指示器”特性.
【Abstract】 A computation method was proposed for determinaing the time delay in phase space reconstruction based on the first minimum of mutual information, and the method has been proved reliable by applying it to the example of the Mackey-Glass Equation and Lorenz ’s strange attractor data. The flow patterns of oil/water two phase flow have been characterized by the calculated correlation dimensions of chaotic attractor. The results showed that the correlation dimensions calculated from fluctuating conductance signals of oil/water two phase flow have good correlation with the water cut (Kw) ranging from 61% to 91% and with the total flow rate ranging from 10(m3/d) to60(m3/d) for oil-in-water flow patterns. For water cut (Kw) of 51% , the correlation dimensions showed irregular sudden changes to transitional flow pattern, which meant that the correlation dimensions of chaotic attractor was a sensitive "indicator" of oil water two phase flow pattern variations.
【Key words】 oil /water two phase flow; flow pattern; chaos; time delay; correlation dimension;
- 【文献出处】 动力学与控制学报 ,Journal of Dynamics and Control , 编辑部邮箱 ,2004年03期
- 【分类号】O359.1
- 【被引频次】9
- 【下载频次】211