【作者】 郭伯和； 金宁德； 胡亚范； 胡秧利；

【Author】 Guo Baihe1, Jin Ningde1, Hu Yafan2, Hu Yangli1 1.School of Electrical Engineering & Automation, Tianjin University, Tianjin 300072 2.College of Science, Yanshan University, Qin Huangdao 066004

【机构】 天津大学电气与自动化工程学院； 燕山大学理学院；

【摘要】 本文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Makey-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(方/天)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。更多还原

【Abstract】 A computation method is used for determination of time delay in phase space reconstruction based on first minimum of mutual information, which 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 calculated correlation dimensions of chaotic attractor, it is shown that the dimensions calculated from fluctuating conductance signals of oil/water two phase flow have good correlation with water cut ( wK ) ranging from 61% to 91% and total flow rate ranging from 10(m3/day) to 60(m3/day) for oil-in-water flow patterns. For water cut ( wK ) of 51%, the dimensions show irregular sudden changes to transitional flow pattern, it means that the dimensions of chaotic attractor is a sensitive “indicator” of oil water two phase flow pattern variations.更多还原