14-17 May 2018
New Orleans
US/Central timezone

Fast assessment of CO2 plume extent using a connectivity-based surrogate model

14 May 2018, 16:00
1h 30m
New Orleans

New Orleans

Poster MS 3.11: fundamental aspects of geological storage of CO2 Poster 1


Hoonyoung Jeong (University Of Texas At Austin)


In a geological carbon storage (GCS) project, it is critical to predict the extent of injected CO2. However, it is not practical to quantify the uncertainty in the CO2 plume extent by conducting full physics flow simulations for hundreds of geological models representing high geological uncertainty. In this study, a computationally efficient surrogate model is introduced to quickly approximate CO2 plume migrations in a 3-dimensional heterogeneous reservoir during an injection period. CO2 plume migrations are approximated based on connectivities between a CO2 injector and other locations, which are computed using rock and fluid properties. The connectivity-based surrogate model saves about 90% of the computational cost in quantifying the uncertainty in the extent of CO2 plume compared to a full physics flow simulator.

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Primary author

Hoonyoung Jeong (University Of Texas At Austin)


Alexander Sun (Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin)

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