Quantitative seismic interpretation of the Gassum Formation at the Stenlille aquifer gas storage

Kenneth Bredesen, Mads Lorentzen, Florian Smit, Ulrik Gregersen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingspeer-review

Abstract

A quantitative seismic interpretation of the Gassum Formation at the onshore aquifer gas storage near the Danish town Stenlille is presented with its implications for exploiting the gas storage facility as a potential CO2 demonstration site. An available dataset including a 3D seismic volume and 20 wells was used to interrogate the following questions: (1) Is the seismic response of the natural gas stored in the Stenlille aquifer similar to a modelled CO2 fluid at equivalent burial depths?; (2) Can we map the injected natural gas distributions stored within the various reservoir zones and compartments in the Stenlille aquifer?; and (3) Can we better resolve the spatial reservoir heterogeneities and zone boundaries in the Gassum Formation? Our approach involves employing a set of quantitative interpretation tools based on the available 3D seismic post-stack volume and well logs. The quantitative interpretation results yield additional reservoir insights useful for building a robust static model for subsequent CO2 storage and de-risking. The present study is a part of recent projects (ConsenCUS and CCS2022−2024) carried out at GEUS.
Original languageEnglish
Title of host publicationProceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16) 23-24 Oct 2022
PublisherElsevier
Number of pages12
DOIs
Publication statusPublished - 14 Nov 2022
Event16th International Conference on Greenhouse Gas Control Technologies - Palais des congrès de Lyon, Lyon, France
Duration: 23 Oct 202227 Oct 2022
Conference number: 16
https://ghgt.info

Conference

Conference16th International Conference on Greenhouse Gas Control Technologies
Abbreviated titleGHGT-16
Country/TerritoryFrance
CityLyon
Period23/10/2227/10/22
Internet address

Keywords

  • Carbon capture and storage
  • Reservoir characterisation
  • Gassum Formation
  • Bayesian inversion
  • Stenlille

Programme Area

  • Programme Area 3: Energy Resources

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