Projects per year
To support the needs of practitioners regarding 3D geological modelling and uncertainty quantification in the field, in particular from the mining industry, we propose a Python package called loopUI-0.1 that provides a set of local and global indicators to measure uncertainty and features dissimilarities among an ensemble of voxet models. Results are presented of a survey launched among practitioners in the mineral industry, enquiring about their modelling and uncertainty quantification practice and needs. It reveals that practitioners acknowledge the importance of uncertainty quantification even if they do not perform it. A total of four main factors preventing practitioners performing uncertainty quantification were identified: a lack of data uncertainty quantification, (computing) time requirement to generate one model, poor tracking of assumptions and interpretations and relative complexity of uncertainty quantification. The paper reviews and proposes solutions to alleviate these issues. Elements of an answer to these problems are already provided in the special issue hosting this paper and more are expected to come.
|Number of pages||20|
|Journal||Geoscientific Model Development|
|Publication status||Published - 20 Jun 2022|
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- 2 Finished
Optimising the use of geophysical data for modelling the Australian crust
1/01/19 → 13/06/21
Enabling 3D stochastic geological modelling
Jessell, M., Lindsay, M., Aillères, L. & Armit, R.
1/01/18 → 12/11/21