Soft sensing for gas-lift wells
article
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.
Topics
TNO Identifier
239628
ISSN
1086055X
Source
SPE Journal, 11(4), pp. 454-463.
Publisher
Society of Petroleum Engineers SPE
Collation
10 p.
Pages
454-463
Files
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