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Cristin-resultat-ID:
1266615
Sist endret:
21. desember 2015, 10:19
Resultat
Vitenskapelig foredrag
2015
Evaluation of Lyapunov-based Adaptive Observer using Low-Order Lumped Model for Estimation of Production Index in Under-balanced Drilling
Amirhossein Nikoofard
Tor Arne Johansen
og
Glenn-Ole Kaasa
Presentasjon
Presentasjon
Navn på arrangementet: 9th International Symposium on Advanced Control of Chemical Processes (ADCHEM)
Sted: Whistler, British Columbia
Dato fra:
7. juni 2015
Dato til:
10. juni 2015
Arrangør:
Arrangørnavn: IFAC
Om resultatet
Om resultatet
Vitenskapelig foredrag
Publiseringsår: 2015
Beskrivelse
Beskrivelse
Engelsk
Tittel
Evaluation of Lyapunov-based Adaptive Observer using Low-Order Lumped Model for Estimation of Production Index in Under-balanced Drilling
Sammendrag
A distributed drift-flux model and a low-order lumped model describing a multiphase (gas-liquid) flow in the well during Under-Balanced Drilling (UBD) has been presented. This paper presents a novel nonlinear adaptive observer to estimate the total mass of gas and liquid in the annulus and production constant of gas and liquid from the reservoir into the well during UBD operations. Furthermore, it describes a joint unscented Kalman filter to estimate parameters and states for both the distributed drift-flux and lumped model by using real-time measurements of the choke and the bottom-hole pressures. The performance of the adaptive observers are evaluated for typical drilling scenarios. The results show that all adaptive observers are capable of identifying the production index, although the adaptive observers based on the low-order lumped model achieves better convergence rate than adaptive observer based on the drift-flux model. The results show that the LOL model is sufficient for the purpose of estimating the production parameters.
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fullstendig beskrivelse
Bidragsytere
Bidragsytere
Amirhossein Nikoofard
Forfatter
ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet
Tor Arne Johansen
Forfatter
ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet
Glenn-Ole Kaasa
Forfatter
ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet
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