Articles | Volume 9, issue 2
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, Mark Lindsay, Vitaliy Ogarko, Jeremie Giraud, and Mark Jessell

Data sets

Basic graben GeoModeller model and relevant MCUE outputs E. Pakyuz-Charrier

Mansfield (Victoria, Australia) area original GeoModeller model and relevant MCUE outputs E. Pakyuz-Charrier and Intrepid Geophysics

"GeoModeller API" Intrepid Geophysics|Home of GeoModeller, Intrepid, Jetstream and Sea-g|Gravity, Magnetics, Radiometrics, FTG Intrepid Geophysics

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.