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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (17 Mar 2020) by Erwin Zehe
AR by Aronne Dell'Oca on behalf of the Authors (17 Mar 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (20 Mar 2020) by Erwin Zehe
RR by Anonymous Referee #2 (30 Apr 2020)
ED: Publish as is (08 May 2020) by Erwin Zehe
AR by Aronne Dell'Oca on behalf of the Authors (11 May 2020)  Manuscript 
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.