Probabilistic Geometrical Inversion: From Model Sampling to (geological) Assessment

The University Of Western Australia, Perth , Australia; GeoRessources, University of Lorraine, Nancy, France

The University Of Western Australia, Perth , Australia; Mineral Exploration Cooperative Research Consortium , Perth, Australia

The University Of Western Australia, Perth , Australia; Mineral Exploration Cooperative Research Consortium , Perth, Australia; Commonwealth Scientific and Industrial Research Organisation, Kensington , Australia

Overview
This workshop introduces participants to probabilistic approaches for inferring subsurface geological structures from geophysical in data in the context of undercover exploration, with a focus on geometrical (level-set) parameterisation. Through a combination of lectures and hands-on practical sessions using provided code and data from Western Australia, attendees will follow a complete workflow from inversion to geological assessment of results, with:

• Bayesian inversion and Markov chain Monte Carlo sampling, including trans-dimensional formulations where the complexity of the geological model is itself an unknown;
• Uncertainty estimation and its representation through analysis of posterior model ensembles;
• Methods for interrogating large sets of sampled models, including feature extraction and clustering techniques that support geological interpretation of inversion results;
• The use of geological topological analysis to identify and filter out geologically unrealistic models from posterior ensembles.

What are the learning outcomes?
Familiarity with probablistic geometrical inversions and the assesment of ensembles of models

Who should attend?
Geophysicists, researchers, postgraduate students interested in methods for model space exploration