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

Dell'Oca, Aronne; Guadagnini, Alberto; Riva, Monica

doi:https://doi.org/10.5194/hess-24-3097-2020

Articles | Volume 24, issue 6

https://doi.org/10.5194/hess-24-3097-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-24-3097-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Download

Final revised paper (published on 16 Jun 2020)
Supplement to the final revised paper
Preprint (discussion started on 29 Nov 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'referee comment', Ralf Loritz, 08 Jan 2020
- AC1: 'Response to Dr. Loritz', Aronne Dell'Oca, 15 Mar 2020
RC2: 'referee comment', Anonymous Referee #2, 18 Feb 2020
- AC2: 'Response to Reviewer 2', Aronne Dell'Oca, 15 Mar 2020

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.