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

Stefan Jespersen, Mahsa Kashani, Zhenyu Yang*

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (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.

Original languageEnglish
Title of host publication9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023
Number of pages6
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Publication date2023
Pages2508-2513
Article number10284508
ISBN (Electronic)9798350311402
DOIs
Publication statusPublished - 2023
Event9th International Conference on Control, Decision and Information Technologies (CoDIT) - Rome, Italy
Duration: 3 Jul 20236 Jul 2023
https://codit2023.com/

Conference

Conference9th International Conference on Control, Decision and Information Technologies (CoDIT)
Country/TerritoryItaly
CityRome
Period03/07/202306/07/2023
Internet address
SeriesInternational Conference on Control, Decision and Information Technologies (CoDIT)
ISSN2576-3555

Keywords

  • Hammerstein-Wiener model
  • Oil-in-Water measurement
  • Process modeling
  • de-oiling hydrocyclone
  • separation efficiency
  • system identification

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