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含蜡原油双结构参数模型参数回归的稳定性 被引量:4

The stability of parameter regression for double-structural-parameters model of waxy crude oil
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摘要 含蜡原油双结构参数模型参数回归存在不稳定性,基于触变性参数分组逐步确定法,采用最小二乘原理建立了触变性参数的回归模型。引入稳定性较好的自适应差分进化算法优化回归模型,并针对研究问题的特殊性,对该算法的初始化操作加以改进。在改进的自适应差分进化算法下,待回归触变性参数的回归结果存在随机跳动现象。通过分析回归结果,提出阶跃剪切率实验与恒剪切率实验相结合的触变性测定实验方法,有效解决了双结构参数模型参数回归结果的不稳定问题。 The parameter regression for double-structural-parameters model of waxy crude oil was unstable. Based on the grouped progressive determination method of thixotropic parameters, the regression model of thixotropic parameters was established according to the principle of least square. Then, self-adaptive differential evolution algorithm with good stability was introduced to optimize the regression model. Furthermore, the initialization operation of this algorithm is improved to deal with the particularity of the problem. In the improved self-adaptive differential evolution algorithm, the phenomenon of random fluctuation occurs in the regression results of thixotropic parameters. Finally, a new experimental method of thixotropy measurement which combines step-shear rate experiment with constant-shear rate experiment was proposed based on the analysis of regression results. And thus, the instability of parameter regression results for double-structuralparameters model is effectively solved. (4 Figures, 1 Table, 21 References)
作者 袁庆 杨洋 侯昊 蔡磊 王鹏 孙东亮 宇波 YUAN Qing1, YANG Yang2, HOU Hao2, CAI Lei1, WANG Peng3, SUN Dongliang3, YU Bo3(1. China University of Petroleum (Beijing)/National Engineering Laboratory for Pipeline Safety/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology; 2. China Petroleum Pipeline Engineering Co. Ltd. International; 3. Beijing Institute of Petrochemical Technology/Beijing Key Laboratory of Pipeline Critical Technology and Equipment for Deepwater Oil and Gas Development)
出处 《油气储运》 CAS 北大核心 2018年第3期269-275,共7页 Oil & Gas Storage and Transportation
基金 北京市高水平创新团队建设计划项目“油气储运安全节能输送创新团队”,IDHT20170507
关键词 含蜡原油 双结构参数模型 不稳定问题 参数回归 自适应差分进化算法 实验方法 waxy crude oil, double-structural-parameters model, instability problem, parameter regression, self-adaptive differential evolution algorithm, experimental method
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