Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 12
Articles | Volume 15, issue 12
https://doi.org/10.5194/gmd-15-4689-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-15-4689-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 12
Methods for assessment of models
 | 
20 Jun 2022
Methods for assessment of models |  | 20 Jun 2022

loopUI-0.1: indicators to support needs and practices in 3D geological modelling uncertainty quantification

Guillaume Pirot, Ranee Joshi, Jérémie Giraud, Mark Douglas Lindsay, and Mark Walter Jessell

Viewed

Total article views: 2,817 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,180 572 65 2,817 40 36
  • HTML: 2,180
  • PDF: 572
  • XML: 65
  • Total: 2,817
  • BibTeX: 40
  • EndNote: 36
Views and downloads (calculated since 07 Jan 2022)
Cumulative views and downloads (calculated since 07 Jan 2022)

Viewed (geographical distribution)

Total article views: 2,817 (including HTML, PDF, and XML) Thereof 2,627 with geography defined and 190 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
Results of a survey launched among practitioners in the mineral industry show that despite recognising the importance of uncertainty quantification it is not very well performed due to lack of data, time requirements, poor tracking of interpretations and relative complexity of uncertainty quantification. To alleviate the latter, we provide an open-source set of local and global indicators to measure geological uncertainty among an ensemble of geological models.
Read more
Special issue
The Loop 3D stochastic geological modelling platform – development...