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

Simon Pedersen; Petar  Durdevic; Zhenyu Yang

doi:10.3182/20140824-6-ZA-1003.02499

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

Simon Pedersen, Petar Durdevic, Zhenyu Yang

AAU Energy

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

15 Citations (Scopus)

883 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 language	English
Title of host publication	Proceedings of the 19th World Congress of the International Federation of Automatic Control, IFAC 2014
Number of pages	6
Publisher	IFAC Publisher
Publication date	Aug 2014
Pages	8522-8527
DOIs	https://doi.org/10.3182/20140824-6-ZA-1003.02499
Publication status	Published - Aug 2014
Event	19th World Congress of the International Federation of Automatic Control, IFAC 2014 - Cape Town, South Africa Duration: 24 Aug 2014 → 29 Aug 2014

Conference

Conference	19th World Congress of the International Federation of Automatic Control, IFAC 2014
Country/Territory	South Africa
City	Cape Town
Period	24/08/2014 → 29/08/2014

Series	I F A C Workshop Series
ISSN	1474-6670

Keywords

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

Access to Document

10.3182/20140824-6-ZA-1003.02499

Learning control for riser-slug elimination and production-rate optimization for an oshore oil and gas production processAccepted author manuscript, 505 KB

AUB Link

Search for the material in Aalborg University Library's search engine

PDPWAC: Plant-wide De-oiling of Produced Water using Advanced Control
Yang, Z., Pedersen, S., Durdevic, P., Pedersen, J. K., N. Soltani, M., Stigkær, J. P., Aillos, A., Løhndorf, B. & Sørensen, P.
22/04/2013 → 31/12/2016
Project: Research

Cite this

@inproceedings{087ec11f5aa34f06b9a80336d5fc380c,

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

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.",

keywords = "Offshore, Oil & Gas, Anti-slug, Production-rate optimization, Learning control",

author = "Simon Pedersen and Petar Durdevic and Zhenyu Yang",

year = "2014",

month = aug,

doi = "10.3182/20140824-6-ZA-1003.02499",

language = "English",

series = "I F A C Workshop Series",

publisher = "IFAC Publisher",

pages = "8522--8527",

booktitle = "Proceedings of the 19th World Congress of the International Federation of Automatic Control, IFAC 2014",

note = "19th World Congress of the International Federation of Automatic Control, IFAC 2014 ; Conference date: 24-08-2014 Through 29-08-2014",

}

Pedersen, S , Durdevic, P & Yang, Z 2014, Learning control for riser-slug elimination and production-rate optimization for an offshore oil and gas production process. in Proceedings of the 19th World Congress of the International Federation of Automatic Control, IFAC 2014 . IFAC Publisher, I F A C Workshop Series, pp. 8522-8527, 19th World Congress of the International Federation of Automatic Control, IFAC 2014 , Cape Town, South Africa, 24/08/2014. https://doi.org/10.3182/20140824-6-ZA-1003.02499

Learning control for riser-slug elimination and production-rate optimization for an offshore oil and gas production process. / Pedersen, Simon ; Durdevic, Petar ; Yang, Zhenyu.
Proceedings of the 19th World Congress of the International Federation of Automatic Control, IFAC 2014 . IFAC Publisher, 2014. p. 8522-8527 (I F A C Workshop Series).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Learning control for riser-slug elimination and production-rate optimization for an offshore oil and gas production process

AU - Pedersen, Simon

AU - Durdevic, Petar

AU - Yang, Zhenyu

PY - 2014/8

Y1 - 2014/8

N2 - 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.

AB - 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.

KW - Offshore

KW - Oil & Gas

KW - Anti-slug

KW - Production-rate optimization

KW - Learning control

U2 - 10.3182/20140824-6-ZA-1003.02499

DO - 10.3182/20140824-6-ZA-1003.02499

M3 - Article in proceeding

T3 - I F A C Workshop Series

SP - 8522

EP - 8527

BT - Proceedings of the 19th World Congress of the International Federation of Automatic Control, IFAC 2014

PB - IFAC Publisher

T2 - 19th World Congress of the International Federation of Automatic Control, IFAC 2014

Y2 - 24 August 2014 through 29 August 2014

ER -

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

Abstract

Conference

Keywords

Access to Document

AUB Link

Fingerprint

Projects

PDPWAC: Plant-wide De-oiling of Produced Water using Advanced Control

Cite this