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Note: Reconstruction of fluid flows in porous media using geometric a priori information.

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Scholl,  Hagen
Group Geometry of Fluid Interfaces, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Seemann,  Ralf
Group Geometry of Fluid Interfaces, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Citation

Maisl, M., Scholl, H., Schorr, C., & Seemann, R. (2016). Note: Reconstruction of fluid flows in porous media using geometric a priori information. Review of Scientific Instruments, 87(12): 126105. doi:10.1063/1.4971301.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002C-3B9A-4
Abstract
X-ray tomography typically suffers from insufficient temporal resolution when imaging dynamic processes. Using the example of multiphase flow in solid porous media, we adapt an iterative algorithm to compute 3d tomograms from 2d projections, which allows for a significant reduction of scan time while maintaining a high level of reconstruction quality. To this end, a priori knowledge about the porous medium is incorporated into the reconstruction algorithm. This algorithm is universal when monitoring dynamic changes in any static matrix and allows for an at least five times decreased imaging time with respect to standard reconstruction algorithms.