Tracking CO2 plume migration during geologic sequestration using a probabilistic history matching approach |
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| Authors: | Sayantan Bhowmik Cesar A Mantilla Sanjay Srinivasan |
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| Institution: | (1) University of Texas at Austin, 1 University Station C0300, Austin, TX 78712, USA; |
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| Abstract: | Tracking the migration of the CO2 plume is essential in order to better manage the operation of geologic sequestration of CO2. However, the large cost of most monitoring technologies, such as time-lapse seismic, limits their application. We investigated
the application of a probabilistic history matching methodology using routine measurements of injection data, which are affected
by the presence of large-scale heterogeneities, as an inexpensive alternative to track the migration of CO2 plume in an aquifer. The approach is demonstrated first through a synthetic example in which the ability to detect the presence
of flow barriers was tested. In a second example, we applied our method to the In Salah field, one of the largest geological
sequestration projects in the world, where the main direction of high permeability features was inferred. The accuracy and
reproducibility of the results show that our approach for assisted history matching is an economic and viable option for plume
monitoring during geologic CO2 sequestration. |
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