Research on Structural Design and Optimisation Analysis of a Downhole Multi-Parameter Real-Time Monitoring System for Intelligent Well Completion

被引:0
|
作者
Bi, Gang [1 ,2 ]
Fu, Shuaishuai [1 ]
Wang, Jinlong [3 ]
Wu, Jiemin [4 ]
Yuan, Peijie [1 ]
Peng, Xianbo [1 ]
Wang, Min [5 ]
Gong, Yongfeng [6 ]
机构
[1] Xian Shiyou Univ, Coll Petr Engn, Xian 710065, Peoples R China
[2] Xian Shiyou Univ, Shaanxi Key Lab Well Stabil & Fluid & Rock Mech Oi, Xian 710065, Peoples R China
[3] China Oilfield Serv Ltd, Integrated Solut & New Energy, Tianjin 300459, Peoples R China
[4] Shaanxi Yanchang Petr Grp Co Ltd, Nat Gas Res Inst, Xian 710075, Peoples R China
[5] PetroChina Tarim Oilfield Co, Korla 841000, Peoples R China
[6] Liaohe Oilfield, Dept Drilling & Prod Engn, Panjin 124010, Peoples R China
关键词
intelligent; well completion; Venturi; multi-parameter real-time monitoring; fluid flow simulation; flow monitoring chamber experiments; FLOW;
D O I
10.3390/pr12081597
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this paper, based on electro-hydraulic composite intelligent well-completion technology, a new type of downhole multi-parameter real-time monitoring system design scheme is established. Firstly, a multi-parameter real-time monitoring system with a special structure is designed; secondly, its reliability is analysed by applying the method of numerical simulation; finally, in order to verify the reliability of the simulation results, a principle prototype is developed, and indoor experimental tests of fluid flow are carried out. The experimental results show that the flow rate is directly proportional to the differential pressure, and when the flow rate is certain, the higher the water content, the higher the differential pressure. The indoor experimental flow rate of 400 similar to 1000 m(3)/d is measured with high accuracy, and the error range is within 5%. Numerical simulation and experimental results with a high degree of fit, a flow rate of 400-1000 m(3)/d, the two error range within 10%, the integrated flow coefficient of the experimental value is stable between 0.75-0.815, the simulation value is stable between 0.80-0.86. The mutual verification of the two shows that the flow monitoring design meets the requirements and provides a reference basis for the structural design of the intelligent, well-completion multi-parameter real-time monitoring system.
引用
收藏
页数:17
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