Articles | Volume 9, issue 2
Solid Earth, 9, 385–402, 2018
https://doi.org/10.5194/se-9-385-2018
Solid Earth, 9, 385–402, 2018
https://doi.org/10.5194/se-9-385-2018

Method article 06 Apr 2018

Method article | 06 Apr 2018

Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization

Evren Pakyuz-Charrier et al.

Data sets

Basic graben GeoModeller model and relevant MCUE outputs E. Pakyuz-Charrier https://doi.org/10.5281/zenodo.854730

Mansfield (Victoria, Australia) area original GeoModeller model and relevant MCUE outputs E. Pakyuz-Charrier and Intrepid Geophysics https://doi.org/10.5281/zenodo.848225

"GeoModeller API" Intrepid Geophysics|Home of GeoModeller, Intrepid, Jetstream and Sea-g|Gravity, Magnetics, Radiometrics, FTG Intrepid Geophysics http://www.intrepid-geophysics.com/ig/index.php?page=geomodeller-api

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Short summary
MCUE is a method that produces probabilistic 3-D geological models by sampling from distributions that represent the uncertainty of the initial input dataset. This process generates numerous plausible datasets used to produce a range of statistically plausible 3-D models which are combined into a single probabilistic model. In this paper, improvements to distribution selection and parameterization for input uncertainty are proposed.