Solid Earth
Solid Earth
SE
Articles | Volume 10, issue 5
Articles | Volume 10, issue 5
https://doi.org/10.5194/se-10-1663-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/se-10-1663-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 5
Method article
 | 
10 Oct 2019
Method article |  | 10 Oct 2019

Topological analysis in Monte Carlo simulation for uncertainty propagation

Evren Pakyuz-Charrier, Mark Jessell, Jérémie Giraud, Mark Lindsay, and Vitaliy Ogarko

Viewed

Total article views: 3,743 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,379 1,213 151 3,743 167 193
  • HTML: 2,379
  • PDF: 1,213
  • XML: 151
  • Total: 3,743
  • BibTeX: 167
  • EndNote: 193
Views and downloads (calculated since 10 May 2019)
Cumulative views and downloads (calculated since 10 May 2019)

Viewed (geographical distribution)

Total article views: 3,743 (including HTML, PDF, and XML) Thereof 3,230 with geography defined and 513 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Nov 2025
Download
Short summary
This paper improves the Monte Carlo simulation for uncertainty propagation (MCUP) method for 3-D geological modeling. Topological heterogeneity is observed in the model suite. The study demonstrates that such heterogeneity arises from piecewise nonlinearity inherent to 3-D geological models and contraindicates use of global uncertainty estimation methods. Topological-clustering-driven uncertainty estimation is proposed as a demonstrated alternative to address plausible model heterogeneity.
Read more
Share
Special issue
Understanding the unknowns: the impact of uncertainty in the...