Solid Earth
Solid Earth
SE
Articles | Volume 10, issue 2
Articles | Volume 10, issue 2
https://doi.org/10.5194/se-10-487-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/se-10-487-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 2
Research article
 | 
11 Apr 2019
Research article |  | 11 Apr 2019

How do we see fractures? Quantifying subjective bias in fracture data collection

Billy J. Andrews, Jennifer J. Roberts, Zoe K. Shipton, Sabina Bigi, M. Chiara Tartarello, and Gareth Johnson

Viewed

Total article views: 5,387 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,737 1,488 162 5,387 309 143 182
  • HTML: 3,737
  • PDF: 1,488
  • XML: 162
  • Total: 5,387
  • Supplement: 309
  • BibTeX: 143
  • EndNote: 182
Views and downloads (calculated since 08 Jan 2019)
Cumulative views and downloads (calculated since 08 Jan 2019)

Viewed (geographical distribution)

Total article views: 5,387 (including HTML, PDF, and XML) Thereof 4,403 with geography defined and 984 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Dec 2025
Download
Short summary
Rocks often contain fracture networks, which can strongly affect subsurface fluid flow and the strength of a rock mass. Through fieldwork and workshops we show that people report a different number of fractures from the same sample area of a fracture network. This variability results in significant differences in derived fracture statistics, which are often used as inputs for geological models. We suggest protocols to recognise, understand, and limit this effect on fracture data collection.
Read more
Share
Special issue
Understanding the unknowns: the impact of uncertainty in the...