Publication Name: AEGC 2021
Authors: Steve Sullivan
Date Published: September 2021
Number of Pages: 4
Abstract:
The research aimed to test the variability of geological modelling due to the interpretation bias of the person building the model. Measuring this innate uncertainty in modelling allows stakeholders to have confidence in the models, knowing the level of risk involved and being able to account for it. New machine learning methods allow modelling scenarios to be tested in a fraction of the time of any previous modelling methods.