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 Energi

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

19 Citationer (Scopus)

954 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.

Originalsprog	Engelsk
Titel	Proceedings of the 19th World Congress of the International Federation of Automatic Control, IFAC 2014
Antal sider	6
Forlag	IFAC Publisher
Publikationsdato	aug. 2014
Sider	8522-8527
DOI	https://doi.org/10.3182/20140824-6-ZA-1003.02499
Status	Udgivet - aug. 2014
Begivenhed	19th World Congress of the International Federation of Automatic Control, IFAC 2014 - Cape Town, Sydafrika Varighed: 24 aug. 2014 → 29 aug. 2014

Konference

Konference	19th World Congress of the International Federation of Automatic Control, IFAC 2014
Land/Område	Sydafrika
By	Cape Town
Periode	24/08/2014 → 29/08/2014

Navn	I F A C Workshop Series
ISSN	1474-6670

Adgang til dokumentet

10.3182/20140824-6-ZA-1003.02499

Learning control for riser-slug elimination and production-rate optimization for an oshore oil and gas production processAccepteret manuskript, 505 KB

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

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

Citationsformater

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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. i Proceedings of the 19th World Congress of the International Federation of Automatic Control, IFAC 2014 . IFAC Publisher, I F A C Workshop Series, s. 8522-8527, 19th World Congress of the International Federation of Automatic Control, IFAC 2014 , Cape Town, Sydafrika, 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. s. 8522-8527 (I F A C Workshop Series).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › 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

Konference

Adgang til dokumentet

AUB Link

Fingeraftryk

Projekter

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

Citationsformater