Articles | Volume 24, issue 6
Research article
16 Jun 2020
Research article |  | 16 Jun 2020

Interpretation of multi-scale permeability data through an information theory perspective

Aronne Dell'Oca, Alberto Guadagnini, and Monica Riva

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Cited articles

Andersson, J. E., Ekman, L., Gustafsson, E., Nordqvist, R., and Tiren, S.: Hydraulic interference tests and tracer tests within the Brändöan area, Finnsjon study site, the fracture zone project-Phase 3, Technical Report 89-12, Sweden Nuclear Fuel and Waste Management Company, Stockholm, 1988. 
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Barahona-Palomo, M., Riva, M., Sanchez-Vila, X., Vazquez-Sune, E., and Guadagnini, A.: Quantitative comparison of impeller flowmeter and particle-size distribution techniques for the characterization of hydraulic conductivity variability, Hydrogeol. J., 19, 603–612,, 2011. 
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Bertschinger, N., Rauh, J., Olbrich, E., Jost, J., and Ay, N.: Quantifying unique information, Entropy, 16, 2161–2183,, 2014. 
Short summary
Permeability of natural systems exhibits heterogeneous spatial variations linked with the size of the measurement support scale. As the latter becomes coarser, the system appearance is less heterogeneous. As such, sets of permeability data associated with differing support scales provide diverse amounts of information. In this contribution, we leverage information theory to quantify the information content of gas permeability datasets collected with four diverse measurement support scales.