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


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 Evren Pakyuz-Charrier on behalf of the Authors (13 Aug 2019)  Author's response    Manuscript
ED: Publish as is (20 Aug 2019) by Nick Roberts
ED: Publish subject to technical corrections (20 Aug 2019) by Susanne Buiter(Executive Editor)
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.