Cristin-resultat-ID: 966336
Sist endret: 8. juni 2014, 22:43
NVI-rapporteringsår: 2012
Resultat
Vitenskapelig artikkel
2012

Uncertainties in practical simulation of CO2 storage

Bidragsytere:
  • Jan Martin Nordbotten
  • Bernd Flemisch
  • Sarah Eileen Gasda
  • Halvor Møll Nilsen
  • Yun Fan
  • Gillian E. Pickup
  • mfl.

Tidsskrift

International Journal of Greenhouse Gas Control
ISSN 1750-5836
e-ISSN 1878-0148
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2012
Publisert online: 2012
Trykket: 2012
Volum: 9
Sider: 234 - 242

Importkilder

Scopus-ID: 2-s2.0-84860179045
Isi-ID: 000306721000021

Klassifisering

Vitenskapsdisipliner

Anvendt matematikk

Beskrivelse Beskrivelse

Tittel

Uncertainties in practical simulation of CO2 storage

Sammendrag

Practical simulation of CO2 storage in geological formations inherently involves decisions concerning relevant physics, upscaling, and numerical modeling. These decisions are unavoidable, since the full problem cannot be resolved by existing numerical approaches. Here, we report on the impact of three distinct approaches to make the problem computationally tractable: reduced physics, upscaling, and non-converged discretizations. Compounding these different strategies, we have used a benchmark study to try to assess the impact of an expert group on the results of the numerical simulations. In order to restrict the scope of the investigation, the geometric and geological description of the storage aquifer was simplified to the greatest extent possible. The different strategies applied to simplify the problem, lead to significantly deviating answers when addressing relevant storage questions. Furthermore, there is room for interpretation when complex simulation results are simplified to the type of higher-level information sought in decision making processes. Our experience leads us to conclude that, important questions relating to CO2 storage cannot be predicted convincingly to satisfactory accuracy with numerical simulation tools, even for highly idealized problems. This emphasizes the need for real-time monitoring and history matching during injection operations.

Bidragsytere

Jan Martin Nordbotten

  • Tilknyttet:
    Forfatter
    ved Princeton University
  • Tilknyttet:
    Forfatter
    ved Matematisk institutt ved Universitetet i Bergen

Bernd Flemisch

  • Tilknyttet:
    Forfatter
    ved Universität Stuttgart

Sarah Eileen Gasda

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

Halvor Møll Nilsen

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Yun Fan

  • Tilknyttet:
    Forfatter
    ved Shell US
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