首页> 外文会议>Biennial International Pipeline Conference >THE IMPORTANCE OF ONLINE VISCOSITY MEASUREMENT FOR LEAK DETECTION AND OTHER SIMULATION APPLICATIONS
【24h】

THE IMPORTANCE OF ONLINE VISCOSITY MEASUREMENT FOR LEAK DETECTION AND OTHER SIMULATION APPLICATIONS

机译:在线粘度测量对泄漏检测和其他仿真应用的重要性

获取原文
获取外文期刊封面目录资料

摘要

Knowledge of viscosity is an important property in fluid dynamics because it is a key factor in determining the amount of fluid that can be transported in a pipeline during a specific period of time. Dynamic viscosity, defined as the viscosity measured under force induced flow, not only describes the nature of the fluid but is also useful in predicting the behavior of the shear stress with respect to the rate of the angular deformation of the fluid. The addition of the viscous deceleration component in the linear momentum equation is important in describing the real fluid flow in the pipeline. The two factors producing viscosity are cohesion and the rate of transfer of molecular momentum. The Reynolds number, which is based on the viscosity, is an important quantity which engineers use to determine if a flow is laminar or turbulent. Hence viscosity plays a major role in the generation of turbulence. Knowing the viscosity is also essential to improving system performance (volumetric efficiency and mechanical efficiency). Because viscosity typically varies among the different fluids transported in petroleum pipelines, it is widely considered that online measurement can be beneficial to pipeline operations. This is particularly true for complex applications that depend on a real-time fluid mechanics model for leak detection, batch tracking, and power optimization, among others.
机译:粘度的知识是流体动力学中的重要特性,因为它是确定在特定时间段内可以在管道中运输的流体量的关键因素。动态粘度,定义为在力诱导的流动下测量的粘度,不仅描述了流体的性质,而且还可用于预测剪切应力相对于流体的角变形速率的行为。在线性动量方程中添加粘性减速分量对于描述管道中的真正流体流动是重要的。产生粘度的两个因素是凝聚力和分子动量的转移速率。基于粘度的雷诺数是工程师用于确定流动是层状或湍流的重要数量。因此,粘度在湍流的产生中起着重要作用。了解粘度对于提高系统性能(体积效率和机械效率)也是必不可少的。因为粘度通常在石油管道运输的不同流体中变化,所以广泛认为在线测量可能有利于管道操作。对于依赖于泄漏检测,批量跟踪和功率优化的实时流体力学模型,尤其如此。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号