首页> 外文期刊>Nukleonika >Design and simulation of a multienergy gamma ray absorptiometry system for multiphase flow metering with accurate void fraction and water-liquid ratio approximation
【24h】

Design and simulation of a multienergy gamma ray absorptiometry system for multiphase flow metering with accurate void fraction and water-liquid ratio approximation

机译:具有精确空隙率和水液比近似值的多相流量计多能量伽玛射线吸收仪系统的设计和仿真

获取原文
获取原文并翻译 | 示例
           

摘要

Multiphase flow meters are used to measure the water-liquid ratio (WLR) and void fraction in a multiphase fluid stream pipeline. In the present study, a system of multiphase flow measurement has been designed by application of three thallium-doped sodium iodide scintillators and a radioactive source of Ba-1(33) simulated by Monte Carlo N-particle (MCNP) transport code. In order to capture radiations passing across the pipe, two direct detectors have been installed on opposite sides of the radioactive source. Another detector has been placed perpendicular to the transmission beam emitted from the Ba-1(33) source to receive radiations scattered from the fluid flow. Simulation was done by the MCNP code for different volumetric fractions of water, oil, and gas phases for two types of flow regimes, namely, homogeneous and annular; training and validation data have been provided for the artificial neural network (ANN) to develop a computation model for pattern recognition. Depending on applications of the neural system, several structures of ANNs are used in the current paper to model the flow measurement relations, while the detector outputs are considered as the input parameters of the neural networks. The first, second, and third structures benefit from two, three, and five multilayer perceptron neural networks, respectively. Increasing the number of ANNs makes the system more complicated and decreases the available data; however, it increases the accuracy of estimation of WLR and gas void fraction. According to the results, the maximum relative difference was observed in the scattering detector. It was clear that transmission detectors would demonstrate the difference between the flow regimes as well. It is necessary to note that the error calculated by the MCNP simulator is 0.5% for the direct detectors (TR1 and TR2). Due to the difference between the data of the two flow regimes and the errors of data in the simulation codes of the MCNP, it was possible to separate these flow regimes. The effect of changing WLR on the efficiency for a constant void fraction confirms a considerable variance in the results of annular and homogeneous flows occurring in the scattering detector. There is a similar trend for the void fraction; hence, one can easily distinguish changes in efficiency due to the WLR. Analysis of the simulation results revealed that in the proposed structure of the multiphase flow meter and the computation model used for simulation, the two flow regimes are simply distinguishable.
机译:多相流量计用于测量多相流体流管道中的水液比(WLR)和空隙率。在本研究中,通过应用三个three掺杂的碘化钠闪烁器和蒙特卡罗N粒子(MCNP)传输代码模拟的Ba-1(33)放射源,设计了一种多相流量测量系统。为了捕获穿过管道的辐射,已在放射源的相对两侧安装了两个直接检测器。已将另一个检测器垂直于Ba-1(33)源发射的传输光束放置,以接收从流体流散射的辐射。通过MCNP代码对两种流动形式(均质和环形)的水,油和气相的不同体积分数进行了模拟。已经为人工神经网络(ANN)提供了训练和验证数据,以开发用于模式识别的计算模型。根据神经系统的应用,当前论文中使用了几种神经网络结构来对流量测量关系进行建模,而检测器的输出则被视为神经网络的输入参数。第一,第二和第三结构分别受益于两个,三个和五个多层感知器神经网络。人工神经网络数量的增加使系统更加复杂并减少了可用数据。但是,它提高了估计WLR和气体空隙率的准确性。根据结果​​,在散射检测器中观察到最大相对差。显然,透射检测器也将证明流动状态之间的差异。需要注意的是,对于直接检测器(TR1和TR2),由MCNP仿真器计算出的误差<0.5%。由于两种流动方式的数据之间存在差异,并且MCNP的模拟代码中的数据存在误差,因此有可能将这些流动方式分开。对于恒定的空隙率,改变WLR对效率的影响证实了散射检测器中发生的环形流动和均匀流动的结果存在相当大的差异。空隙率也有类似的趋势。因此,可以轻松地区分WLR带来的效率变化。对模拟结果的分析表明,在所提出的多相流量计结构和用于模拟的计算模型中,这两种流态可以简单地区分。

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