油水分离器中液滴流动模拟方法研究  被引量:2

Droplet Motions Simulation in Oil-water Seperation

在线阅读下载全文

作  者:庞帅 李庆一 王若莉 孙谋 吕朝旭 PANG Shuai;LI Qingyi;WANG Ruoli;SUN Mou;LYU Chaoxu(China Petroleum Engineering and Construction Corporation,Beijing Design Company,Beijing 100085,China;China University of Petroleum,Beijing 102249,China)

机构地区:[1]中国石油工程建设有限公司北京设计分公司,北京100085 [2]中国石油大学(北京),北京102249

出  处:《河南科学》2018年第3期340-348,共9页Henan Science

基  金:国家自然科学基金项目(51574259);中国石油天然气股份有限公司重大科技专项资助(2014E-3604)

摘  要:对油气储运行业来说,油水两相流是不可避免的问题.然而储运设施中油水两相带来了一系列风险,因此油品在储运过程中进行油水分离处理是必要的.对油水两相流中液滴流动的实验观测和数值模拟这两种主要研究方法进行了分析比较,指出了当前实验水平所具有的模糊、定性化和不统一等问题.在此基础上,提出了基于CahnHilliard方程的相场模型,引入了"Shift-Matrix"矩阵快速解法,通过与LBM方法的对比来论证本算法优越性,并通过对不同条件下水滴和油滴的运移及融合过程的模拟,验证了本文模型和方法的可靠性和正确性,指出了当前在油水分离器设计中所采用公式的不足,从而能够为日后油气储运领域实际油水两相流过程的研究提供理论依据和技术基础.Oil-water two phase flow is an inevitable problem in oil and gas storage and transportation industry.It’s necessary to carry out the oil and water separation in the process of storage and transportation,and we find the research of oil-water two phase flow is the basis of high efficient oil and water separation.Currently,the research method which based on the experiment observation is deficient in fuzzy,quantitative and non-uniform definition of pattern.The numerical simulation methods,especially the Stokes-Cahn-Hilliard simultaneous model,are provided and a fast solution method for the solution of partial differential equations in macro model,Shift-Matrix method,is introduced and established in details.The reliability and validity of the numerical model which established in this paper are verified through the various examples of droplets migration and fusion in oil-water two phase flow.The simulation conduct here is helpful for the future study on more complicated oil-water two phase flow and can be referred in actual oil and water separation process.

关 键 词:油水两相流 CAHN-HILLIARD方程 Shift-Matrix方法 

分 类 号:TH138.82[机械工程—机械制造及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象