摘要
含蜡原油输送中蜡沉积速率的预测与含蜡管道清管作业等密切相关,目前蜡沉积预测主要基于经验回归式和机理模型。考虑传统分子扩散动力学理论,本文首次将胶凝粘附机理引入蜡沉积动力学模型,建立管道内油包水乳状液蜡沉积预测模型。基于渤海含蜡原油环道蜡沉积实验数据对比分析表明,利用本文所建立的模型,能够准确反应油包水乳状液管道内蜡沉积速率随含水率呈先减小后增加的变化趋势;与仅考虑分子扩散的蜡沉积动力学模型相比,本文所建模型预测精度更高,对转折点含水率预测结果与实验结果吻合更好;与以往的蜡沉积预测模型相比,本文所建立模型更符合管流蜡沉积规律,具有良好的应用前景。
The prediction of wax deposition rate in waxy crude oil transportation is closely related to pipeline pigging operations.At present,wax deposition prediction is mainly based on empirical regression and mechanism models.By considering the traditional molecular diffusion kinetic theory,this paper firstly introduces the gelation adhesion mechanism into the wax deposition kinetic model,and establishes the wax deposition prediction model of pipe flow in water-in-oil emulsion.Through comparatively analyzing the loop wax deposition experimental data of Bohai waxy crude oil,it is known that the model established in this paper can accurately demonstrate the changing trend of declining first and then rising Vs.water content for wax deposition rate of water-in-oil emulsion pipe flow.Compared with the wax deposition kinetic model that considers solely molecular diffusion,the model established in this paper has a higher prediction accuracy,and the predicted turning point of water content is in good agreement with the experimental results;compared with the previous wax deposition prediction models,the proposed model can better tally with the pipe flow wax deposition law,showing a good application prospect.
作者
李清平
陈海宏
王玮
杨居衡
LI Qingping;CHEN Haihong;WANG Wei;YANG Juheng(State Key Laboratory of Natural Gas Hydrate,Beijing 102209,China;CNOOC Research Institute Ltd.,Beijing 100028,China;China University of Petroleum,Beijing 102249,China)
出处
《中国海上油气》
CAS
CSCD
北大核心
2021年第6期179-184,共6页
China Offshore Oil and Gas
基金
“十三五”国家科技重大专项“深水油气田流动安全保障技术(编号:2016ZX05028004)”
中海石油(中国)有限公司科研课题“2021年天然气水合物重点实验室前瞻基础研究课题(编号:2021-KJYFPT-003)”“海底多相混输管道工艺模拟软件集成(编号:2021-YXKJ-006)”部分研究成果。
关键词
油包水乳状液
管流
蜡沉积
动力学模型
分子扩散
胶凝粘附
water-in-oil emulsion
pipe flow
wax deposition
dynamic model
molecular diffusion
gelation adhesion