Projekter pr. år
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.
Originalsprog | Engelsk |
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Titel | 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023 |
Antal sider | 6 |
Forlag | IEEE (Institute of Electrical and Electronics Engineers) |
Publikationsdato | 2023 |
Sider | 2508-2513 |
Artikelnummer | 10284508 |
ISBN (Elektronisk) | 9798350311402 |
DOI | |
Status | Udgivet - 2023 |
Begivenhed | 9th International Conference on Control, Decision and Information Technologies (CoDIT) - Rome, Italien Varighed: 3 jul. 2023 → 6 jul. 2023 https://codit2023.com/ |
Konference
Konference | 9th International Conference on Control, Decision and Information Technologies (CoDIT) |
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Land/Område | Italien |
By | Rome |
Periode | 03/07/2023 → 06/07/2023 |
Internetadresse |
Navn | International Conference on Control, Decision and Information Technologies (CoDIT) |
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ISSN | 2576-3555 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Hammerstein-Wiener Model Identification of De-oiling Hydrocyclone Separation Efficiency'. Sammen danner de et unikt fingeraftryk.Projekter
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MPC: Model prediction control for slug flow suppression and water treatment in daily operation of oil field facilities
Yang, Z. (PI (principal investigator)), Jespersen, S. (Projektdeltager), Hansen, D. S. (Projektdeltager) & Christensen, M. D. (Projektkoordinator)
Danish Hydrocarbon Research and Technology Centre (DHRTC)
01/10/2020 → 31/12/2023
Projekter: Projekt › Forskning