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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

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