UKERC EDC: Publications

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Abstract:

This document is a supporting document to deliverable MS6.1 UK Storage Appraisal Final Report. It is Appendix A5.1:Summary of Dynamic Modelling Scoping Studies.

The purpose of this preliminary work was to define a common approach for the dynamic modelling including the physical processes to be represented, modelling tools to be used, the definition of common/standardised parameters and a basis for the recommendations. This was achieved through an extensive literature review, investigation of modelling software and modelling assessments.

The following main recommendations were made.

Modelling gravity effects with a sufficiently fine grid where needed is important. The solubility of CO₂ in brine and the effect of capillary pressure should normally be included in dynamic models, but the effect of diffusion is not likely to be significant. The effectof hysteresis on relative permeabilities will be required to model residual trapping as it may be an important trapping mechanism after injection has ceased for poorly confined structures.
It was concluded that the bulk of the dynamic modelling could be performed isothermally with sufficient accuracy using the industry stand ard finite difference ‘black-oil’ simulator ECLIPSE100™, and appropriate PVT data input, which was defined. This solution has the advantage of speed over the ECLIPSE300™/CO₂STORE module compositional combination. It was proposed that a streamline simulator, such as 3DSL™, be considered for simulation of fine scale models of Exemplar open aquifer units as this would enable greater detail to be modelled due to faster run speeds. Streamline simulation is particularly effective where modelling displacement is more important than pressure changes, as for open aquifers.
It was also proposed that a single simulator, GEM™, be used for well injectivity and associated thermal and geomechanical sensitivity calculations.
It was recommended that the most comprehensive set of consistent CO₂/brine relative permeability and capillary pressure data available from a Canadian dataset be used for the modelling.

Publication Year:

2011

Publisher:

ETI

DOI:

https://doi.org/10.5286/UKERC.EDC.000155

Author(s):

Balbinski, E., Mackay, E., Masters, J. and Bijeljic, B.

Energy Category

Class Name:

Subclass Name:

Category Name:

Fossil Fuels: Oil Gas and Coal

CO2 Capture and Storage

Language:

English

File Type:

application/pdf

File Size:

265842 B

Rights:

Energy Technologies Institute Open Licence for Materials

Rights Overview:

The Energy Technologies Institute is making this document available to use under the Energy Technologies Institute Open Licence for Materials. Please refer to the Energy Technologies Institute website for the terms and conditions of this licence. The Information is licensed "as is" and the Energy Technologies Institute excludes all representations, warranties, obligations and liabilities in relation to the Information to the maximum extent permitted by law. The Energy Technologies Institute is not liable for any errors or omissions in the Information and shall not be liable for any loss, injury or damage of any kind caused by its use. This exclusion of liability includes, but is not limited to, any direct, indirect, special, incidental, consequential, punitive, or exemplary damages in each case such as loss of revenue, data, anticipated profits, and lost business. The Energy Technologies Institute does not guarantee the continued supply of the Information. Notwithstanding any statement to the contrary contained on the face of this document, the Energy Technologies Institute confirms that it has the right to publish this document.

Further information:

N/A

Region:

United Kingdom

Publication Type:

Technical Report

Subject:

Modelling

Theme(s):

Carbon Capture and Storage

Related Dataset(s):

CO2 Stored Database