摘要
流型识别对研究石油多相流技术具有重要意义,传统流型判别方法存在着诸多弊端。在考察了多相流流型检测技术及概率密度函数、功率谱密度函数等统计方法的基础上,利用小波分析、分形、神经网络等理论对流型的识别技术进行了分析,指出了流型研究的方法和重点。
Flow regime recognition plays an important role in petroleum multiphase flow research. However,the traditional flow regime identifying methods have many shortcomings. In this paper,the flow regime measurement techniques and the statistical analysis method such as probability density function and power spectral density are discussed. Additionally,the application of fractal,wavelet analysis and neural network are also presented. The methods applied in flow regime identification have been recommended and the emphasis during flow regime study has also been put forward.
出处
《油气储运》
CAS
北大核心
2001年第11期1-4,共4页
Oil & Gas Storage and Transportation
基金
国家自然科学基金(59995460)
