迪那作业区乙二醇循环工艺参数评价

发布时间：2018-03-04 09:13

本文选题：乙二醇　切入点：工艺参数　出处：《重庆科技学院》2017年硕士论文　论文类型：学位论文

【摘要】：迪那处理厂采用低温分离工艺对天然气进行脱水处理,采用乙二醇作为水合物抑制剂,经过现场调研,发现乙二醇平均消耗量逐年增加,乙二醇贫富液浓度差不到5%。通过对现场实际调研,排除设备原因后,结合现场需求,需要对当前运行条件下的乙二醇循环工艺参数进行评价。本文首先利用Hysys流程模拟软件,利用现场实际运行参数搭建迪那作业区乙二醇工艺模拟流程,并将模拟流程计算所得工艺参数与现场实际运行参数相对比进行误差分析,最大误差仅为8.77%,模拟模型能较好的模拟现场流程。在此基础上,对注醇量、节流温度、乙二醇贫液浓度、再生温度等工艺参数进行敏感性分析,确定了部分工艺参数的较优范围,继而利用Hysys优化器以运行成本最低为优化目标对乙二醇循环工艺参数进行优化,找出最优工艺运行参数。基于Hysys优化得到的最优工艺运行参数,与现场实际乙二醇循环工艺运行参数进行对比评价,评价结果表明,工艺参数中再生温度、节流温度、空冷器出口温度、再生贫液浓度等控制情况良好,实际运行参数与最优运行参数吻合度高;四套脱水脱烃装置中,仅一套的注醇量相比合理注醇量多10%,其余三套均在合理注醇量范围内;乙二醇富液浓度这一参数仍有提升空间,实际乙二醇富液浓度较最优浓度相比高5%左右,但注醇量的增加必然导致乙二醇富液浓度的增加,总体而言目前的乙二醇循环工艺参数与较优的乙二醇循环工艺参数比较吻合。为了方便现场人员对不同来气温度、流量条件下更为便捷的得到乙二醇合理的注入量和乙二醇富液浓度,建立了BP神经网络预测“黑箱”,该“黑箱”与Hysys模拟结果误差最高为8.2%,该“黑箱”能够帮助现场人员快速的展开对工艺参数的评价,指导工艺参数的优化和工艺的改进提高。
[Abstract]:The natural gas was dehydrated by a low-temperature separation process at Dinah treatment Plant, and ethylene glycol was used as a hydrate inhibitor. Through field investigation, it was found that the average consumption of ethylene glycol increased year by year. The difference between rich and poor liquid concentration of ethylene glycol is less than 5%. By investigating the actual situation of ethylene glycol, removing the reasons of the equipment and combining with the field demand, it is necessary to evaluate the process parameters of ethylene glycol cycle under the current operating conditions. Firstly, this paper uses the Hysys flow simulation software to evaluate the process parameters of ethylene glycol cycle. The process simulation process of ethylene glycol in Dina operation area was set up by using the actual operation parameters, and the error analysis was carried out by comparing the process parameters calculated by the simulation process with the actual operation parameters on the spot. The maximum error is only 8.77, and the simulation model can simulate the field flow better. On this basis, the sensitivity analysis of the process parameters, such as alcohol injection, throttling temperature, ethylene glycol lean liquid concentration, regeneration temperature and so on, is carried out. The optimum range of some process parameters is determined, and then the Hysys optimizer is used to optimize the process parameters of ethylene glycol cycle with the lowest operating cost. The optimal process parameters obtained by Hysys are compared with the actual ethylene glycol cycle process parameters. The evaluation results show that the regeneration temperature and throttling temperature of the process parameters are calculated. The outlet temperature of the air cooler and the concentration of regenerated lean liquid are well controlled, and the actual operation parameters are in good agreement with the optimal operating parameters. Only one set of alcohols is 10 more than the reasonable amount of alcohol, the other three are in the range of reasonable injection of alcohol, the parameter of rich liquid concentration of ethylene glycol still has room for improvement, and the actual concentration of rich liquid of ethylene glycol is about 5% higher than that of the optimal concentration. However, the increase of alcohol injection will inevitably lead to the increase of rich liquid concentration of ethylene glycol. Generally speaking, the current process parameters of ethylene glycol cycle are in good agreement with the better process parameters of ethylene glycol circulation. It is more convenient to obtain the reasonable injection amount of ethylene glycol and the rich liquid concentration of ethylene glycol under the condition of flow. A BP neural network is established to predict the "black box". The maximum error between the "black box" and the Hysys simulation result is 8.2. The "black box" can help the field personnel to evaluate the process parameters quickly, guide the optimization of the process parameters and improve the process.
【学位授予单位】：重庆科技学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TE646

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