摘要
在采油高含水期,为适应水平井采油及产出剖面测井的需要,开展了油水两相流流型流态的实验研究,为分析油水两相流流型流态对仪器响应的影响特性,设计了一套系统分析油水两相流的流型流态,采用希尔伯特黄变换和复杂性测度的方法分析对比数据,并用人工神经网络SVM的方式进行预测仿真,为更进一步分析流型流态对测井仪器的响应性能。采用可移植的、轻量级的方式,设计研发了一种同轴相位传感器的流型流态模拟分析系统软件,仿真结果表明,上述系统能适应分析需求,能够快速识别流型,对研究流型流态对仪器响应的影响提供了借鉴。
In order to meet the needs of horizontal wells and oil production profile logging in the high - content water of oil production, simulation study of water and oil flow pattern is carried out. The impact of oil and water flow pattern on the instrument response is analyzed. A system for analyzing the type of flowing state of the two - phase oil - water flowing is designed. The transform of Hilbert - Huang and complexity measure is used to analyze the data. The response of fluid flow to logging Instrument is further studied. The artificial neural network is used to predictive modeling. By using a portable and lightweight method, the simulation and analysis software of the flow pattern is de- signed based on coaxial phase sensor. Simulation results show that the system can adapt to the requirements of on - site analysis and quickly identify flow pattern.
出处
《计算机仿真》
CSCD
北大核心
2015年第2期156-160,共5页
Computer Simulation
基金
国家专项<中薄互层油藏水平井完井
注采工艺技术>--<水平井产液剖面测试技术>项目(2010-13009-js-13599)
关键词
同轴相位传感器
流型流态
两相流
水平井
Coaxial phase sensor
Flowing state
Two - phase flowing
Horizontal well
