New methods for predicting the distributions of CO2 in storage sites

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The Norwegian Computing Center has developed new methods for quantitative prediction of the distributions of CO2 in subsurface storage sites. The project has improved our understanding of how CO2 can be stored.
CO2 storage
 

Storage of CO2 in underground geological formations is an important strategy in our ambition to limit global warming to 2 oC. To ensure public safety and support for storage it is important to obtain quantitative descriptions of the CO2 plume's development after it has been injected into the underground.

The project has improved our understanding of how CO2 can be safely stored by developing new models for monitoring CO2 storage. The new models are based on quantitative prediction of the distributions of CO2 in subsurface storage sites using physical models and statistically consistent integration of multiple time-lapse data sources.

Important results

Through this project a new work flow for rock physics inversion from geophysical data has been developed, documented, and implemented in a computer program. In the CO2 storage setting, these data are collected as monitoring data, and the inversion tells how the CO2 is distributed. The methodology has been verified on synthetic data and tested on data from the large scale CO2 storage at Sleipner. This has led to a new rock physics model for the Sleipner CO2 storage project.

The research partners were The Norwegian Computing Center, the University of Bergen, and Stanford University. Industrial partners were Statoil and ExxonMobil. The budget was 10 million Norwegian kroner. The CLIMIT programme has been the main financial source.

Impact of the results

The project has proven the feasibility of a workflow for consistent integration of multiple data sources for rock physics prediction on full scale problem. The new rock physics model for the Utsira sand can improve the understanding of the CO2 storage potential in the region. The competitive edge of the Norwegian industry is facilitated by this project.

More details are available at the Climit web site, or by contacting the project leader Odd Kolbjørnsen at Odd.Kolbjornsen(at).nr.no

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