Abstract

Conventional reservoir models of heterogeneous reservoirs do not include micro-scale heterogeneity due to the resolution limitations of widely used well logs and core plug data. This leads to a lack of precision in the characterization of the reservoir. The reservoir quality of the thin sandstone layers in heterogeneous reservoir are critical factors for CO2 sequestration. The integration of micro-CT images from rock samples and upscaling algorithms, enables a comprehensive understanding of reservoir properties and facilitates accurate reservoir modelling. This research aims to enhance reservoir characterization and modelling by upscaling digital core data from micro scale to field scale. By focusing on the Otway Formation as a case study, this paper demonstrated the potential of digital core analysis in improving reservoir characterization and provided valuable insights for efficient CO2 sequestration. The findings of this study have significant implications for the oil and gas industry, promising to enhance reservoir characterisation and modelling for CO2 sequestration projects.

RAS ID

77096

Document Type

Journal Article

Volume

141

Funding Information

CO2CRC Ltd (G1006454) / Edith Cowan University

School

Centre for Sustainable Energy and Resources / School of Engineering

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Publisher

Elsevier

Comments

Aslannezhad, M., Sayyafzadeh, M., Tang, D., Iglauer, S., & Keshavarz, A. (2025). Application of digital core analysis to improve reservoir characterisation and modelling: The Otway formation as a case study. International Journal of Greenhouse Gas Control, 141. https://doi.org/10.1016/j.ijggc.2025.104316

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Link to publisher version (DOI)

10.1016/j.ijggc.2025.104316