Projects per year
Abstract
The increasing water cut from offshore production wells render optimization of the deoiling process vital for continuous oil and gas production. Hydrocyclones are commonly used as the last stage of the deoiling process and must therefore keep the oil content in the produced water below 30ppm to comply with the local legislation. Optimizing the performance of hydrocyclones is a balance between separation efficiency and reject flow rate. Thus, it is essential to exploit the freedom within the system which may be found by means of analyzing the internal fluid mechanics of the hydrocyclones. This work investigates the establishment of a control-oriented grey-box model of a hydrocyclone as an extension of a previously defined droplet trajectory-based model. The model parameters were estimated using numerical optimization by fitting the model outputs to experimental data. This work proposes a method to estimate how the hydrocyclone pressures are related to its flow rates by means of virtual orifice equations. The experimental results prove that the proposed model is able to estimate the relationship between pressures and flow rates with good accuracy and can be extended in future works to include dynamic properties.
Original language | English |
---|---|
Title of host publication | Proceedings of 2017 IEEE Conference on Control Technology and Applications (CCTA) |
Number of pages | 5 |
Publisher | IEEE Press |
Publication date | Aug 2017 |
Pages | 94-98 |
ISBN (Electronic) | 978-1-5090-2182-6 |
DOIs | |
Publication status | Published - Aug 2017 |
Event | 2017 IEEE Conference on Control Technology and Applications (CCTA) - Mauna Lani, United States Duration: 27 Aug 2017 → 30 Aug 2017 |
Conference
Conference | 2017 IEEE Conference on Control Technology and Applications (CCTA) |
---|---|
Country/Territory | United States |
City | Mauna Lani |
Period | 27/08/2017 → 30/08/2017 |
Fingerprint
Dive into the research topics of 'Grey-Box Modeling of an Offshore Deoiling Hydrocyclone System'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Grey‐Box Modeling and Plant‐wide Control in Water Treatment for Offshore Oil & Gas Production
Yang, Z. (Project Manager) & Bram, M. V. (Project Participant)
01/09/2017 → 31/10/2020
Project: Research
Research output
- 11 Citations
- 1 PhD thesis
-
Grey-Box Modeling and Validation of Deoiling Hydrocyclones
Bram, M. V., 2020, Aalborg Universitetsforlag. 57 p.Research output: PhD thesis
Open AccessFile