集结除垢运行参数优化研究
发布时间:2018-04-03 22:27
本文选题:实验平台 切入点:结垢速率 出处:《西安石油大学》2017年硕士论文
【摘要】:针对现有除垢技术,新疆油田提出了一种集输管线快速集结聚垢除垢的方法,并发明了一种专用装置用来定点集结除垢。该装置改变了常规防除垢的思路,人为地设计模拟流体的结垢环境,实现流体在特定装置中的定点集结聚垢,快速除垢。然而,各因素对结垢速率的影响尚不明确,严重影响了该装置集结聚垢除垢的能力。鉴于此,本文通过搭建循环管路实验平台研究影响结垢因素与结垢速率之间的规律,提出集结聚垢装置优化运行参数与结构参数,对该装置在新疆油田的进一步推广和应用具有极大的意义。首先,论文基于结垢理论,流体力学、热力学和材料力学,自主设计并搭建一套自动化水力环路实验平台,并通过单因素和均匀实验研究温度、压力和流量对结垢速率的影响规律。研究表明:25≤温度≤65℃时,结垢速率随着温度的升高不断增大;0.20≤压力≤1.65MPa时,结垢速率随着压力的升高不断增大;0.8≤流量≤7.8 m3/h时,结垢速率随着流量的增大先增大后减小,且增大与减小的拐点随着温度的升高不断增大。在此基础上,分析筛网对结垢速率的影响规律,结果显示,单层40目304不锈钢筛网结垢能力强于单层8目普通钢材筛网,三层304不锈钢筛网结垢能力强于单层304不锈钢筛网。为了定量分析以上各因素对结垢量的影响规律,通过SPSS软件对均匀实验结果进行非线性回归,得到结垢量预测模型,并通实验验证模型的精度。最后,通过Matlab软件编程对该模型进行求解,得到集结聚垢装置最优运行参数,即温度T=65℃、压力P=1.65MPa和流速V=0.6738m/s。
[Abstract]:In view of the existing scale removal technology, a method of rapid accumulation of scale and scale removal for gathering pipeline is proposed in Xinjiang Oilfield, and a special device is invented to collect and remove scale at a fixed point.This device changes the conventional anti-scaling idea, artificially designs the scale environment of simulated fluid, and realizes the fixed point accumulation of the fluid in the specific device, and the rapid scale removal.However, the influence of various factors on the scaling rate is not clear, which seriously affects the ability of the equipment to accumulate scale and remove scale.In view of this, this paper studies the law of influencing scaling factors and scaling rate by setting up a circulating pipe experimental platform, and puts forward the optimized operation parameters and structural parameters of the scale accumulation device.It is of great significance for the further popularization and application of this device in Xinjiang Oilfield.Firstly, based on scaling theory, hydrodynamics, thermodynamics and material mechanics, a set of automatic hydraulic loop experimental platform is designed and built, and the temperature is studied by single factor and uniform experiment.Influence of pressure and flow rate on scaling rate.The results show that when the temperature is below 65 鈩,
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