TY - JOUR
T1 - Improved particle tracking proxy for assessing plume migration during geologic sequestration
AU - Bhowmik, Sayantan
AU - Srinivasan, Sanjay
AU - Bryant, Steven
N1 - Funding Information:
This material is partially based on work supported by the Department of Energy under Award Number DE-DE-FE0004962. The authors are also grateful to the sponsors of Geologic CO2 Storage Industrial Associates Project at The University of Texas at Austin: BP, Chevron, ExxonMobil, Foundation CMG, Statoil and USGS, for making this work possible.
Publisher Copyright:
© 2014 The Authors. Published by Elsevier Ltd.
PY - 2014
Y1 - 2014
N2 - During geologic carbon sequestration, it is of immense importance that the migration of the injected plume of CO2 be monitored in order to ensure containment within the storage volume. We have previously described a framework for predicting future plume migration, taking into account routinely recorded well data (like injection rate or bottom-hole pressures). The cornerstone of our prediction process is the use of a particle-tracking proxy that provides the ability to assess rapidly the flow connectivity of multiple aquifer models without the need to use computationally expensive numerical simulators. In this paper, we extend the proxy to explicitly represent multiphase flow effects, buoyancy effects and the effect of fluid viscosity and compressibility. The resultant proxy is thus robust for representing plume migration corresponding to flow and transport of CO2 in aquifers exhibiting complex heterogeneity and for different physical flow and transport mechanisms.
AB - During geologic carbon sequestration, it is of immense importance that the migration of the injected plume of CO2 be monitored in order to ensure containment within the storage volume. We have previously described a framework for predicting future plume migration, taking into account routinely recorded well data (like injection rate or bottom-hole pressures). The cornerstone of our prediction process is the use of a particle-tracking proxy that provides the ability to assess rapidly the flow connectivity of multiple aquifer models without the need to use computationally expensive numerical simulators. In this paper, we extend the proxy to explicitly represent multiphase flow effects, buoyancy effects and the effect of fluid viscosity and compressibility. The resultant proxy is thus robust for representing plume migration corresponding to flow and transport of CO2 in aquifers exhibiting complex heterogeneity and for different physical flow and transport mechanisms.
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U2 - 10.1016/j.egypro.2014.11.415
DO - 10.1016/j.egypro.2014.11.415
M3 - Conference article
AN - SCOPUS:84922947278
SN - 1876-6102
VL - 63
SP - 3853
EP - 3863
JO - Energy Procedia
JF - Energy Procedia
T2 - 12th International Conference on Greenhouse Gas Control Technologies, GHGT 2014
Y2 - 5 October 2014 through 9 October 2014
ER -