Soft sensing for gas lift wells

被引：14

作者：

Bloemen, H. H. J.

Belfroid, S. P. C.

Sturm, W. L.

Verhelst, F. J. P. C. M. G.

机构：

[1] TNO Science and Industry, Netherlands

来源：

SPE JOURNAL | 2006年 / 11卷 / 04期

关键词：

D O I：

10.2118/90370-PA

中图分类号：

TE [石油、天然气工业];

学科分类号：

0820 [石油与天然气工程];

摘要：

This paper considers the use of extended Kalman filtering as a soft-sensing technique for gas lift wells. This technique is deployed for the estimation of dynamic variables that are not directly measured. Possible applications are the estimation of flow rates from surface and downhole pressure measurements or the estimation of parameters of a drift-flux model. By means of simulation examples, different configurations of sensor systems are analyzed. Finally, the estimation of drift-flux model parameters is demonstrated on real data from a laboratory setup.

引用

页码：454 / 463

页数：10

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