On a new robust workflow for the statistical and spatial  analysis of fracture data collected with scanlines (or the importance of stationarity)

Bistacchi, Andrea; Mittempergher, Silvia; Martinelli, Mattia; Storti, Fabrizio

doi:https://doi.org/10.5194/se-11-2535-2020

Articles | Volume 11, issue 6

https://doi.org/10.5194/se-11-2535-2020

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

Special issue:

Faults, fractures, and fluid flow in the shallow crust

https://doi.org/10.5194/se-11-2535-2020

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

Articles | Volume 11, issue 6

Research article

|

23 Dec 2020

Research article |

| 23 Dec 2020

On a new robust workflow for the statistical and spatial analysis of fracture data collected with scanlines (or the importance of stationarity)

Andrea Bistacchi, Silvia Mittempergher, Mattia Martinelli, and Fabrizio Storti

Model code and software

https://github.com/bistek/DomStudioFracStat1D Andrea Bistacchi https://doi.org/10.5281/zenodo.4122291

Short summary

We present an innovative workflow for the statistical analysis of fracture data collected along scanlines. Our methodology is based on performing non-parametric statistical tests, which allow detection of important features of the spatial distribution of fractures, and on the analysis of the cumulative spacing function (CSF) and cumulative spacing derivative (CSD), which allows the boundaries of stationary domains to be defined in an objective way.