Articles | Volume 10, issue 2
Solid Earth, 10, 487–516, 2019

Special issue: Understanding the unknowns: the impact of uncertainty in the...

Solid Earth, 10, 487–516, 2019

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 et al.


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
AR by Billy Andrews on behalf of the Authors (25 Mar 2019)  Author's response    Manuscript
ED: Publish as is (27 Mar 2019) by David Healy
ED: Publish as is (27 Mar 2019) by Federico Rossetti(Executive Editor)
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.