Learning control for riser-slug elimination and production-rate optimization for an offshore oil and gas production process

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

15 Citations (Scopus)
889 Downloads (Pure)

Abstract

Slugging flow in the offshore oil & gas production attracts lot of attention due to it's limitation of production rate, periodic overload on processing facilities, and even direct cause of emergency shutdown. This work aims at two correlated objectives: (i) Preventing slugging flow; and meanwhile, (ii) maximizing the production rate at the riser of an offshore production platform, by manipulating a topside choke valve through a learning switching model-free PID controller. The results show good steady-state performance, though a long settling time due to the unknown reference for no slugging flow.
Original languageEnglish
Title of host publicationProceedings of the 19th World Congress of the International Federation of Automatic Control, IFAC 2014
Number of pages6
PublisherIFAC Publisher
Publication dateAug 2014
Pages8522-8527
DOIs
Publication statusPublished - Aug 2014
Event19th World Congress of the International Federation of Automatic Control, IFAC 2014 - Cape Town, South Africa
Duration: 24 Aug 201429 Aug 2014

Conference

Conference19th World Congress of the International Federation of Automatic Control, IFAC 2014
Country/TerritorySouth Africa
CityCape Town
Period24/08/201429/08/2014
SeriesI F A C Workshop Series
ISSN1474-6670

Keywords

  • Offshore
  • Oil & Gas
  • Anti-slug
  • Production-rate optimization
  • Learning control

Fingerprint

Dive into the research topics of 'Learning control for riser-slug elimination and production-rate optimization for an offshore oil and gas production process'. Together they form a unique fingerprint.

Cite this