Cristin-resultat-ID: 1581327
Sist endret: 7. april 2022, 13:18
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2018

A Novel Ensemble-Based Conjugate Gradient Method for Reservoir Management

Bidragsytere:
  • Yiteng Zhang
  • Andreas S. Stordal
  • Rolf Johan Lorentzen og
  • Yuqing Chang

Bok

SPE Norway One Day Seminar 2018
ISBN:
  • 978-1-61399-609-6

Utgiver

Society of Petroleum Engineers
NVI-nivå 1

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2018
Antall sider: 13
ISBN:
  • 978-1-61399-609-6

Importkilder

Scopus-ID: 2-s2.0-85050338161

Klassifisering

Fagfelt (NPI)

Fagfelt: Geovitenskap
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

A Novel Ensemble-Based Conjugate Gradient Method for Reservoir Management

Sammendrag

Ensemble optimization is a rapidly emerging method for reservoir model-based production optimization. In this paper, we compared a line search method and a trust-region method to design an algorithm that retains the excellent convergence rate, but is more economical to implement when the number of variables is large. Here, the mathematics (or statistics) of ensemble-based optimization with several mathematical treatments is studied. Conjugate gradient is carried out within the general optimization framework that employs trust-region methods, aiming at delivering a faster convergence approach for reservoir management. For general benchmarks, the Rosenbrock function and five-spot waterflooding are tested for both two methods. To the best of our knowledge, the embedment of the Steihaug conjugate gradient in solving the sub-problem of ensemble-based optimization using trust-region methods is studied for the first time for reservoir management. The conjugate gradient approach is known for its prescriptive convergence theory, in which the progress can be observed at each iteration for a quadratic programming. With numerical experiments, we illustrate that trust-region method is competitive against line search method in ensemble-based production optimization

Bidragsytere

Yiteng Zhang

  • Tilknyttet:
    Forfatter
    ved Institutt for energiressurser ved Universitetet i Stavanger

Andreas Størksen Stordal

Bidragsyterens navn vises på dette resultatet som Andreas S. Stordal
  • Tilknyttet:
    Forfatter
    ved Bunnfisk ved Havforskningsinstituttet

Rolf Johan Lorentzen

  • Tilknyttet:
    Forfatter
    ved NORCE Energi og teknologi ved NORCE Norwegian Research Centre AS

Yuqing Chang

  • Tilknyttet:
    Forfatter
    ved NORCE Energi og teknologi ved NORCE Norwegian Research Centre AS
1 - 4 av 4

Resultatet er en del av Resultatet er en del av

SPE Norway One Day Seminar 2018.

Ukjent, Ukjent. 2018, Society of Petroleum Engineers. Vitenskapelig antologi/Konferanseserie
1 - 1 av 1