Hammerstein-Wiener Model Identification of De-oiling Hydrocyclone Separation Efficiency

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

2 Citationer (Scopus)

Abstract

As the hydrocarbon discharge regulation is becoming more stringent, and emerging sensing and digitization technologies are applied in offshore oil and gas (OG) production, it is beneficial to upgrade the existing control systems by integrating these new measurements/information into the control loops. To achieve this goal, some proper control-oriented models need to be developed. Hydrocyclone-based de-oiling systems are commonly used in the produced water treatment after the three-phase separators in offshore OG production. Control-oriented modeling of these systems has proven a challenging task. In this paper, a system identification approach is taken and polynomial-type Hammerstein-Wiener (HW) models of the separation efficiency are identified for a de-oiling hydrocyclone system using the newly installed online oil-in-water (OiW) measurement. An exhaustive search is used to determine the order of the polynomials and transfer functions. The best model found was a Hammerstein model. The model obtained provides the opportunity to extend the existing de-oiling control framework to include the OiW measurement into feedback loops.

OriginalsprogEngelsk
Titel9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023
Antal sider6
ForlagIEEE (Institute of Electrical and Electronics Engineers)
Publikationsdato2023
Sider2508-2513
Artikelnummer10284508
ISBN (Elektronisk)9798350311402
DOI
StatusUdgivet - 2023
Begivenhed9th International Conference on Control, Decision and Information Technologies (CoDIT) - Rome, Italien
Varighed: 3 jul. 20236 jul. 2023
https://codit2023.com/

Konference

Konference9th International Conference on Control, Decision and Information Technologies (CoDIT)
Land/OmrådeItalien
ByRome
Periode03/07/202306/07/2023
Internetadresse
NavnInternational Conference on Control, Decision and Information Technologies (CoDIT)
ISSN2576-3555

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