西北地区JF原油管道蜡沉积评价方案
Wax deposition evaluation scheme for JF crude oil pipeline in Northwest China
浏览(701) 下载(21)
- 引用格式:
-
张建昌,王立涛,周晓宇,张嘉安,张妮,于丹,丁妮.西北地区JF原油管道蜡沉积评价方案[J].天然气与石油,2021,39(5):14-20.doi:10.3969/j.issn.1006-5539.2021.05.003
ZHANG Jianchang, WANG Litao, ZHOU Xiaoyu, ZHANG Jiaan, ZHANG Ni, YU Dan, DING Ni.Wax deposition evaluation scheme for JF crude oil pipeline in Northwest China[J].Natural Gas and Oil,2021,39(5):14-20.doi:10.3969/j.issn.1006-5539.2021.05.003
- DOI:
- 10.3969/j.issn.1006-5539.2021.05.003
- 作者:
- 张建昌1 王立涛1 周晓宇1 张嘉安1 张妮1 于丹1 丁妮2
ZHANG Jianchang1, WANG Litao1, ZHOU Xiaoyu1, ZHANG Jiaan1, ZHANG Ni1, YU Dan1, DING Ni2
- 作者单位:
- 1. 中国石油长庆油田分公司第三输油处, 宁夏 银川 750000; 2. 西安石大派普特科技工程有限公司, 陕西 西安 710065
1. The Third Oil Transportation Department of PetroChina Changqing Oilfield Company, Yinchuan, Ningxia, 750000, China; 2. PipePlus Technology Ltd., Xian, Shaanxi, 710065, China
- 关键词:
- 输油管道;蜡沉积;当量厚度;预测模型
Oil pipeline; Wax deposition; Equivalent thickness; Prediction model
- 摘要:
为掌握现场输油管道蜡沉积情况,充分利用SCADA系统所采集的大量运行数据,进行数据分析和挖掘,提出一种现场管道蜡沉积评价方法,并建立蜡沉积动力学预测模型。首先,分析生产现场工况变化特点,选用压差法计算原油管道当量蜡沉积厚度;其次,分析油品输量、平均温度与管道埋地温度对当量蜡沉积厚度的影响;最后,建立蜡沉积动力学预测模型，预测蜡沉积厚度变化情况。分析结果表明:当量蜡沉积厚度计算结果与JF原油管道9次清管数据的变化规律一致,计算结果准确;当量蜡沉积厚度虽然不是真实蜡沉积厚度,但反映了蜡沉积对管道水力特性的影响,可作为评价管道蜡沉积情况的指标;由于蜡沉积过程同时受分子扩散与剪切剥离作用影响,选用Hsu模型效果较好,预测模型最大误差为1.74 mm/d,712组数据计算结果中,有518组数据计算结果与实际变化趋势相同,占比72.9%。研究提出的当量蜡沉积厚度原油管道蜡沉积评价指标可供类似工程借鉴，但还需围绕提高计算精度与模型适应性以及借助管网仿真技术继续深入研究。
In order to grasp the situation of wax deposition in oil pipelines on site, a field pipeline wax deposition evaluation method is proposed based on the analysis on large amount of operating data collected by the SCADA system. A kinetic wax deposition prediction model is established as well. Firstly, the equivalent wax deposition thickness was calculated by analyzing the changing characteristics of operating conditions and using the differential pressure profile method. Secondly, the effects of oil flow, average temperature and pipeline buried temperature on the equivalent wax deposition thickness are analyzed. Finally, a kinetic model of wax deposition was established to predict the variation in thickness of wax deposition. The calculation results were consistent with the results of 9 pigging operations for the JF crude oil pipeline, which proved the accuracy of the calculation results. The results show that, although the equivalent wax deposition thickness calculated by differential pressure method is not exactly the true wax deposition thickness, it can be used as an indicator to evaluate the wax deposition in pipeline as it reflects the influence of wax deposition on the hydraulic characteristics of pipeline. Since the wax deposition process is affected by both molecular diffusion and shear peeling, the HSU model has a better prediction effect. The maximum error of the prediction model is 1.74 mm/d. Among the 712 groups of data calculated, up to 72.9 % or 518 groups of data calculated results predicted the same trend with the actual change. The evaluation index proposed in this study can provide engineering reference, yet it should focus on promoting calculation precision and model adaptability and relying on network emulation technology to deepen the study.
