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


Total article views: 3,738 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,585 1,054 99 3,738 191 64 75
  • HTML: 2,585
  • PDF: 1,054
  • XML: 99
  • Total: 3,738
  • Supplement: 191
  • BibTeX: 64
  • EndNote: 75
Views and downloads (calculated since 08 Jan 2019)
Cumulative views and downloads (calculated since 08 Jan 2019)

Viewed (geographical distribution)

Total article views: 3,738 (including HTML, PDF, and XML) Thereof 2,804 with geography defined and 934 with unknown origin.
Country # Views %
  • 1


Discussed (final revised paper)

Discussed (final revised paper)

Latest update: 29 Mar 2023
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.