Til hovedinnhold
Norsk English

Assessing the value of seismic monitoring of CO2 storage using simulations and statistical analysis

Sammendrag

Successful storage of CO2 in underground aquifers requires robust monitoring schemes for detecting potential leakage. To aid in this challenge we propose to use statistical approaches to gauge the value of seismic monitoring schemes in decision support systems. The new framework is based on geostatistical uncertainty modeling, reservoir simulations of the CO2 plume in the aquifer, and the associated synthetic seismic response for both leak and seal scenarios. From a large set of simulations we assess the leak and seal conditional probabilities given seismic data over time, and build on this to compute the value of information of the seismic monitoring schemes. The Smeaheia aquifer west of Norway is used to exemplify the approach for early leakage detection and decision support regarding CO2 storage projects. For this case study, we find that the optimal monitoring time is about 10 years after injection starts.

Les publikasjonen

Kategori

Vitenskapelig artikkel

Oppdragsgiver

  • Research Council of Norway (RCN) / 294404
  • Research Council of Norway (RCN) / 257579
  • Research Council of Norway (RCN) / 309960

Språk

Engelsk

Forfatter(e)

  • Susan Anyosa
  • Scott William Christopher Bunting
  • Jo Eidsvik
  • Mohamed Anouar Romdhane
  • Per Eirik Bergmo

Institusjon(er)

  • Norges teknisk-naturvitenskapelige universitet
  • VISMA
  • SINTEF Industri / Anvendt geovitenskap

År

2021

Publisert i

International Journal of Greenhouse Gas Control

ISSN

1750-5836

Forlag

Elsevier

Årgang

105

Vis denne publikasjonen hos Cristin