Print Email Facebook Twitter Soft sensing for gas-lift wells Title Soft sensing for gas-lift wells Author Bloemen, H.H.J. Belfroid, S.P.C. Sturm, W.L. Verhelst, F.J.P.C.M.G. Technisch Physische Dienst TNO - TH Publication year 2004 Abstract 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 pressure measurements or the estimation of parameters of a drift-flux model. By means of simulation examples different configurations of sensor systems are analyzed. The estimation of drift-flux model parameters is demonstrated on real data from a laboratory set-up. Subject MachinesAlgorithmsApproximation theoryData acquisitionKalman filteringMathematical modelsMultiphase flowDrift flux parametersDrift-flux modelSoft sensingState-covariance matrixGas lifts To reference this document use: http://resolver.tudelft.nl/uuid:ce97a270-bcfb-4e92-9347-2d7f4999e253 TNO identifier 280197 Publisher Society of Petroleum Engineers SPE Source 2004 SPE Annual Technical Conference and Exhibition, 26-29 September 2004, Houston, TX, USA, 2381-2391 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.