Engineering Failure Analysis ( IF 4 ) Pub Date : 2020-09-24 , DOI: 10.1016/j.engfailanal.2020.104909 Fucheng Deng , Ziqiang Deng , He Liang , Lihua Wang , Haitao Hu , Yi Xu
Slotted screen is widely used in sand control, but screen erosion life seriously affects its performance. In this paper, the computational fluid dynamics (CFD) method was used to calculate the erosion rate of the single slot. The wall erosion of the slot has been analyzed on the field condition of production pressure difference, dynamic viscosity, particle size distribution and sand content. Based on BP neural network, a service life prediction model of slotted screen erosion has been established and was used to calculate the screen service life by the field conditions. The results showed that: (1) By the influence of the screen erosion, the kinematic viscosity and the particle diameter each has a turning point. But they have the different affecting trend as the data growing. (2) It’s a good method by using Back-Propagation (BP) neural network to get the slotted screen life prediction model. The tolerance between the predicted data based on the Predictive model and the calculated data is less than 15%. The service life of the slotted screen is calculated according to the field conditions of the Bohai Bay, the resulting life change situation is consistent with the actual situation of the slotted screen. The established life prediction model of slotted screen has certain reference significance.
中文翻译:
基于反向传播神经网络的缝隙屏幕寿命预测
开槽筛广泛用于防砂,但筛的侵蚀寿命严重影响其性能。在本文中,使用计算流体动力学(CFD)方法来计算单个缝隙的侵蚀率。根据生产压力差,动态粘度,粒度分布和含砂量的现场条件分析了槽的壁腐蚀。基于BP神经网络,建立了开槽筛网侵蚀的使用寿命预测模型,并根据现场条件计算了筛网的使用寿命。结果表明:(1)受筛网侵蚀的影响,运动粘度和粒径均具有转折点。但是随着数据的增长,它们具有不同的影响趋势。(2)这是使用反向传播(BP)神经网络来获得分时段屏幕寿命预测模型的好方法。基于预测模型的预测数据与计算数据之间的容差小于15%。开槽筛网的使用寿命是根据渤海湾的现场情况计算得出的,其寿命变化情况与开槽筛网的实际情况相吻合。建立的缝隙屏幕寿命预测模型具有一定的参考意义。所导致的寿命变化情况与开槽屏幕的实际情况一致。建立的缝隙屏幕寿命预测模型具有一定的参考意义。所导致的寿命变化情况与开槽屏幕的实际情况一致。建立的缝隙屏幕寿命预测模型具有一定的参考意义。