Abstract
This paper takes a new approach to the modelling and visualisation of sequestered CO\(_2\) in subsurface reservoirs and its migration pathways. We model the gas as discretised packets moving along paths within a graph or network. The movement of the packets will be governed by chip-firing. This new approach provides a new insight into the modelling of CO\(_2\) migration in porous media with complex geological architectures. We compare and contrast this new graph theoretic approach with traditional methods and demonstrate that similar results are obtained, with the added advantage that the new methods are quick to implement and execute. In addition, the new methods are more flexible and can more accurately capture the variation in the stratification of the encasing rock.
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The fourth author would like to acknowledge the support of the School of Mathematics and Physics, the University of Queensland, through the awarding of an Ethel Raybould Visiting Fellowship.
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All authors were involved in the formalisation of the problem, the discussion of the solution and the editing of the manuscript. TAMC implemented the code and provided the chip-firing visualisation; VB suggested the problem and provided the geological expertise and discussion; FZ implemented the process on the commercial package, CMG, providing the model visualisation; DP provided the graph theory background and suggested the chip-firing approach and mathematical expertise; DD oversaw the project and team, provided mathematical insights and drafted and edited the manuscript.
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McCourt, T.A., Zhou, F., Bianchi, V. et al. Chip-Firing on a Graph for Modelling Complex Geological Architecture in CO\(_2\) Injection and Storage. Transp Porous Med 129, 281–294 (2019). https://doi.org/10.1007/s11242-019-01287-x
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DOI: https://doi.org/10.1007/s11242-019-01287-x