Pore-scale characterization and modelling of CO2 flow in tight sandstones using X-ray micro-CT; Knorringfjellet formation of the Longyearbyen CO2 lab, Svalbard

Rocks of the Knorringfjellet Formation in Central Spitsbergen form a potential storage reservoir for CO2 below Longyearbyen. They are characterised by a moderate porosity and low permeability. However, water injection tests have shown positive results and fractures are considered to facilitate fluid...

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Bibliographic Details
Main Authors: Van Stappen, Jeroen, De Kock, Tim, Boone, Marijn, Olaussen, Snorre, Cnudde, Veerle
Format: Article in Journal/Newspaper
Language:English
Published: 2014
Subjects:
Earth and Environmental Sciences
NORWAY
MEDIA
fracture characterisation
Svalbard
micro-CT
Longyearbyen
Norway
Knorringfjellet
Konusdalen
Spitsbergen
Online Access:https://biblio.ugent.be/publication/5798437
http://hdl.handle.net/1854/LU-5798437
https://biblio.ugent.be/publication/5798437/file/5810515
Description
Summary:Rocks of the Knorringfjellet Formation in Central Spitsbergen form a potential storage reservoir for CO2 below Longyearbyen. They are characterised by a moderate porosity and low permeability. However, water injection tests have shown positive results and fractures are considered to facilitate fluid flow. Therefore, hard data on fracture parameters and pore characteristics schould be analysed to better understand flow characteristics. Consequently, sandstone and conglomerate samples from the Knorringfjellet Formation were sampled and characterised with High Resolution X-ray Computed Tomography (HRXCT) at the Centre for X-ray Tomography at Ghent University, Belgium (UGCT). The dataset includes samples taken from drillholes in the vicinity of Longyearbyen, drilled during the pilot phase at the Longyearbyen CO2 project, as well as from the Knorringfjellet Formation outcrops at Konusdalen and Criocerasdalen. This was done in order to compare micro-fracture and pore parameters in both settings. With HRXCT, the samples were analysed at pore scale and quantitative information of the pore network and fractures were extracted. Pore networks were used for the modelling of CO2 flow in specific samples and information on fracture aperture was obtained at a micrometre scale. The acquired dataset can be directly used for a better understanding of flow in the aquifer.

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